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Qi Li

Not to be confused with: Li Qi

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. QI Li & Jeff Racine, 2004. "Predictor relevance and extramarital affairs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 533-535.

    Mentioned in:

    1. Predictor relevance and extramarital affairs (Journal of Applied Econometrics 2004) in ReplicationWiki ()
  2. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.

    Mentioned in:

    1. Density estimation in Wikipedia (English)

Working papers

  1. Kunpeng Li & Qi Li & Lina Lu, 2018. "Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models," Supervisory Research and Analysis Working Papers RPA 18-2, Federal Reserve Bank of Boston.

    Cited by:

    1. Xiang, Jingjie & Li, Kunpeng & Cui, Guowei, 2018. "A note on the asymptotic properties of least squares estimation in high dimensional constrained factor models," Economics Letters, Elsevier, vol. 171(C), pages 144-148.
    2. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Feb 2022.

  2. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Grande, Genice & Islas, Jorge & Rios, Mario, 2015. "Technical and economic analysis of Domestic High Consumption Tariff niche market for photovoltaic systems in the Mexican household sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 738-748.
    2. Valadkhani, Abbas & Babacan, Alperhan, 2014. "Modelling how much extra motorists pay on the road? A cross-sectional study of profit margins of unleaded petrol in Australia," Energy Policy, Elsevier, vol. 69(C), pages 179-188.

  3. Ying Fang & Li Qi & Yang Zhao, 2013. "The “Curse of Resources” Revisited: A Different Story from China," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Alexeev, Michael & Chernyavskiy, Andrey, 2015. "Taxation of natural resources and economic growth in Russia's regions," Economic Systems, Elsevier, vol. 39(2), pages 317-338.
    2. Fan, Rui & Fang, Ying & Park, Sung Y., 2012. "Resource abundance and economic growth in China," China Economic Review, Elsevier, vol. 23(3), pages 704-719.
    3. Michael Alexeev & Yao-Yu Chih, 2017. "Oil Price Shocks and Economic Growth in the Us," CAEPR Working Papers 2017-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. Olga Gennadyevna Vasilyeva, 2018. "Natural Resources: How to Measure Them in ‘Resource Curse’ Studies," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 67-91.

  4. Zongwu Cai & Qi Li, 2013. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Phillips, Peter C.B. & Wang, Ying, 2022. "Functional coefficient panel modeling with communal smoothing covariates," Journal of Econometrics, Elsevier, vol. 227(2), pages 371-407.
    2. Su, Liangjun, 2012. "Semiparametric GMM estimation of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 167(2), pages 543-560.
    3. Jia Chen & Jiti Gao, 2014. "Semiparametric Model Selection in Panel Data Models with Deterministic Trends and Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 15/14, Monash University, Department of Econometrics and Business Statistics.
    4. Subal C. Kumbhakar & Kai Sun & Rui Zhang, 2016. "Semiparametric Smooth Coefficient Estimation of a Production System," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 464-482, October.
    5. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    6. Delgado, Michael S. & McCloud, Nadine & Kumbhakar, Subal C., 2014. "A generalized empirical model of corruption, foreign direct investment, and growth," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 298-316.
    7. Konrad Lyncker & Rasmus Thoennessen, 2017. "Regional club convergence in the EU: evidence from a panel data analysis," Empirical Economics, Springer, vol. 52(2), pages 525-553, March.
    8. Hu, Xuemei, 2017. "Semi-parametric inference for semi-varying coefficient panel data model with individual effects," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 262-281.
    9. Rodriguez-Poo, Juan M. & Soberón, Alexandra, 2015. "Nonparametric estimation of fixed effects panel data varying coefficient models," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 95-122.
    10. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    11. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    12. Zongwu Cai & Ying Fang & Qiuhua Xu, 2020. "Testing Capital Asset Pricing Models using Functional-Coefficient Panel Data Models with Cross-Sectional Dependence," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202009, University of Kansas, Department of Economics, revised Jul 2020.
    13. Liu, Weiwei, 2014. "Modeling gasoline demand in the United States: A flexible semiparametric approach," Energy Economics, Elsevier, vol. 45(C), pages 244-253.
    14. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    15. Cavallaro, Eleonora & Villani, Ilaria, 2021. "Real income convergence and the patterns of financial integration in the EU," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    16. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    17. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    18. Jia Chen & Jiti Gao & Degui Li, 2011. "Estimation in Partially Linear Single-Index Panel Data Models with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 14/11, Monash University, Department of Econometrics and Business Statistics.
    19. McCloud, Nadine & Delgado, Michael S. & Holmes, Chanit'a, 2018. "Does a stronger system of law and order constrain the effects of foreign direct investment on government size?," European Journal of Political Economy, Elsevier, vol. 55(C), pages 258-283.
    20. Chen, Song Xi & Lei, Lihua & Tu, Yundong, 2014. "Functional Coefficient Moving Average Model with Applications to forecasting Chinese CPI," MPRA Paper 67074, University Library of Munich, Germany, revised 2015.
    21. Cavallaro, Eleonora & Villani, Ilaria, 2022. "Beyond financial deepening: Rethinking the finance-growth relationship in an uneven world," Economic Modelling, Elsevier, vol. 116(C).
    22. Fan Zhang & Joshua Hall & Feng Yao, 2017. "Does Economic Freedom Affect The Production Frontier? A Semiparametric Approach With Panel Data," Working Papers 17-27, Department of Economics, West Virginia University.
    23. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    24. Liping Zhu & Jinhong You & Qunfang Xu, 2014. "Statistical Inference for Single-index Panel Data Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(3), pages 830-843, September.
    25. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
    26. Arteaga-Molina, Luis A. & Rodríguez-Poo, Juan M., 2019. "Empirical likelihood based inference for a categorical varying-coefficient panel data model with fixed effects," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 110-124.
    27. Jianhong Wu & Lixing Zhu, 2012. "Estimation of and testing for random effects in dynamic panel data models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(3), pages 477-497, September.
    28. Irina Murtazashvili & Di Liu & Artem Prokhorov, 2015. "Two-sample nonparametric estimation of intergenerational income mobility in the United States and Sweden," Canadian Journal of Economics, Canadian Economics Association, vol. 48(5), pages 1733-1761, December.
    29. Cai, Zongwu & Fang, Ying & Xu, Qiuhua, 2022. "Testing capital asset pricing models using functional-coefficient panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 227(1), pages 114-133.
    30. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    31. Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2016. "Disentangling temporal patterns in elasticities: A functional coefficient panel analysis of electricity demand," Energy Economics, Elsevier, vol. 60(C), pages 232-243.
    32. Zhang, Hong-Fan, 2021. "Iterative GMM for partially linear single-index models with partly endogenous regressors," Computational Statistics & Data Analysis, Elsevier, vol. 156(C).
    33. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    34. Cizek, Pavel & Koo, Chao, 2017. "Jump-Preserving Varying-Coefficient Models for Nonlinear Time Series," Other publications TiSEM c849e96f-3ad1-461e-96c6-f, Tilburg University, School of Economics and Management.
    35. Isabel Casas & Jiti Gao & Shangyu Xie, 2018. "Modelling Time-Varying Income Elasticities of Health Care Expenditure for the OECD," CREATES Research Papers 2018-29, Department of Economics and Business Economics, Aarhus University.
    36. Polemis, Michael L. & Stengos, Thanasis, 2015. "Does market structure affect labour productivity and wages? Evidence from a smooth coefficient semiparametric panel model," Economics Letters, Elsevier, vol. 137(C), pages 182-186.
    37. Bang-Qiang He & Xing-Jian Hong & Guo-Liang Fan, 2020. "Penalized empirical likelihood for partially linear errors-in-variables panel data models with fixed effects," Statistical Papers, Springer, vol. 61(6), pages 2351-2381, December.
    38. Pei, Youquan & Huang, Tao & You, Jinhong, 2018. "Nonparametric fixed effects model for panel data with locally stationary regressors," Journal of Econometrics, Elsevier, vol. 202(2), pages 286-305.
    39. Yashar Tarverdi, 2018. "Aspects of Governance and $$\hbox {CO}_2$$ CO 2 Emissions: A Non-linear Panel Data Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 167-194, January.
    40. Nadine McCloud & Michael S. Delgado, 2022. "Domestic interest rate, foreign direct investment, and corruption," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(2), pages 467-491, May.
    41. Jia Chen & Jiti Gao & Degui Li, 2010. "Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions," School of Economics and Public Policy Working Papers 2010-09, University of Adelaide, School of Economics and Public Policy.
    42. Sun, Yiguo, 2016. "Functional-coefficient spatial autoregressive models with nonparametric spatial weights," Journal of Econometrics, Elsevier, vol. 195(1), pages 134-153.
    43. He, Bang-Qiang & Hong, Xing-Jian & Fan, Guo-Liang, 2017. "Block empirical likelihood for partially linear panel data models with fixed effects," Statistics & Probability Letters, Elsevier, vol. 123(C), pages 128-138.
    44. Bravo, Francesco, 2023. "Local polynomial estimation of nonparametric general estimating equations," Statistics & Probability Letters, Elsevier, vol. 197(C).
    45. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
    46. Su, Liangjun & Hoshino, Tadao, 2016. "Sieve instrumental variable quantile regression estimation of functional coefficient models," Journal of Econometrics, Elsevier, vol. 191(1), pages 231-254.
    47. Chuanhua Wei & Lijie Wan, 2015. "Efficient Estimation in Heteroscedastic Varying Coefficient Models," Econometrics, MDPI, vol. 3(3), pages 1-7, July.
    48. Jia Chen & Degui Li & Jiti Gao, 2013. "Non- and Semi-Parametric Panel Data Models: A Selective Review," Monash Econometrics and Business Statistics Working Papers 18/13, Monash University, Department of Econometrics and Business Statistics.
    49. Chen, Jia & Li, Degui & Xia, Yingcun, 2019. "Estimation of a rank-reduced functional-coefficient panel data model with serial correlation," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 456-479.
    50. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    51. Hua Liu & Youquan Pei & Qunfang Xu, 2020. "Estimation for varying coefficient panel data model with cross-sectional dependence," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(3), pages 377-410, April.
    52. Michael S. Delgado & Nadine McCloud, 2017. "Foreign direct investment and the domestic capital stock: the good–bad role of higher institutional quality," Empirical Economics, Springer, vol. 53(4), pages 1587-1637, December.
    53. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.

  5. Juan Pantano & Qi Li, 2013. "The Demographic Consequences of Gender Selection Technology," 2013 Meeting Papers 1161, Society for Economic Dynamics.

    Cited by:

    1. Griffen, Andrew S. & Nakamuro, Makiko & Inui, Tomohiko, 2015. "Fertility and maternal labor supply in Japan: Conflicting policy goals?," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 52-72.

  6. Daniel J. Henderson & Qi Li & Christopher F. Parmeter, 2013. "Gradient Based Smoothing Parameter Selection for Nonparametric Regression Estimation," Working Papers 2014-01, University of Miami, Department of Economics.

    Cited by:

    1. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    2. Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020. "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers 14008, Institute of Labor Economics (IZA).
    3. Geng, Xin & Sun, Kai, 2019. "Gradient estimation of the local-constant semiparametric smooth coefficient model," Economics Letters, Elsevier, vol. 185(C).
    4. Simar, Leopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2017. "Nonparametric Least Squares Methods for Stochastic Frontier Models," LIDAM Reprints ISBA 2017026, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Li, Cong & Wang, Yanfei, 2016. "Gradient-based bandwidth selection for estimating average derivatives," Economics Letters, Elsevier, vol. 140(C), pages 19-22.
    6. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    7. Salim Bouzebda & Mohamed Chaouch & Sultana Didi Biha, 2022. "Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 737-771, August.
    8. Xie, Qichang & Sun, Qiankun, 2019. "Computation and application of robust data-driven bandwidth selection for gradient function estimation," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 274-293.
    9. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.
    10. Wei, Jie & Zhang, Yonghui, 2020. "A time-varying diffusion index forecasting model," Economics Letters, Elsevier, vol. 193(C).

  7. Qi Li & Juan Lin & Jeffrey S. Racine, 2012. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Department of Economics Working Papers 2012-10, McMaster University.

    Cited by:

    1. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    2. Jean-Pierre Florens & Léopold Simar & Ingrid van Keilegom, 2020. "Estimation of the Boundary of a Variable Observed with A Symmetric Error," Post-Print hal-02929524, HAL.
    3. Xiaorong Yang & Jia Chen & Degui Li & Runze Li, 2023. "Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure," Papers 2303.13218, arXiv.org.
    4. Frédérique Fève & Jean-Pierre Florens & Léopold Simar, 2023. "Proportional incremental cost probability functions and their frontiers," Empirical Economics, Springer, vol. 64(6), pages 2721-2756, June.
    5. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    6. Tingting Cheng & Jiti Gao & Xibin Zhang, 2016. "Nonparametric Localized Bandwidth Selection for Kernel Density Estimation," Monash Econometrics and Business Statistics Working Papers 7/16, Monash University, Department of Econometrics and Business Statistics.
    7. Gijbels, Irène & Omelka, Marek & Veraverbeke, Noël, 2021. "Omnibus test for covariate effects in conditional copula models," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    8. David M. Kaplan & Matt Goldman, 2016. "Comparing distributions by multiple testing across quantiles or CDF values," Working Papers 1619, Department of Economics, University of Missouri, revised 22 Feb 2018.
    9. Racine, Jeffrey S. & Li, Kevin, 2017. "Nonparametric conditional quantile estimation: A locally weighted quantile kernel approach," Journal of Econometrics, Elsevier, vol. 201(1), pages 72-94.
    10. Badin, Luiza & Daraio, Cinzia & Simar, Leopold, 2018. "A Bootstrap Approach for Bandwidth Selection in Estimating Conditional Efficiency Measures," LIDAM Discussion Papers ISBA 2018007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    11. Cinzia Daraio & Leopold Simar & Paul W. Wilson, 2016. "Nonparametric Estimation of Efficiency in the Presence of Environmental Variables," DIAG Technical Reports 2016-02, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    12. Mehmet Balcilar & Shinhye Chang & Rangan Gupta & Stephen M. Miller, 2018. "The relationship between the inflation rate and inequality across U.S. states: a semiparametric approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2413-2425, September.
    13. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    14. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "The Growth-Inflation Nexus for the US over 1801-2013: A Semiparametric Approach," Working Papers 201447, University of Pretoria, Department of Economics.
    15. David M. Kaplan, 2013. "IDEAL Inference on Conditional Quantiles via Interpolated Duals of Exact Analytic L-statistics," Working Papers 1316, Department of Economics, University of Missouri.
    16. Wilson Calmon & Eduardo Ferioli & Davi Lettieri & Johann Soares & Adrian Pizzinga, 2021. "An Extensive Comparison of Some Well‐Established Value at Risk Methods," International Statistical Review, International Statistical Institute, vol. 89(1), pages 148-166, April.
    17. Kraus, Daniel & Czado, Claudia, 2017. "D-vine copula based quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 1-18.
    18. Mastromarco, Camilla & Simar, Leopold, 2017. "Cross-Section Dependence and Latent Heterogeneity to Evaluate the Impact of Human Capital on Country Performance," LIDAM Discussion Papers ISBA 2017030, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    19. Mastromarco, Camilla & Simar, Léopold, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," LIDAM Reprints ISBA 2021009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    20. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2015. "Testing the "Separability" Condition in Two-Stage Nonparametric Models of Production," LIDAM Discussion Papers ISBA 2015018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    21. Sonali Das & Jeffrey S. Racine, 2016. "Nonparametric Analysis of Complex Nonlinear Systems," Department of Economics Working Papers 2016-07, McMaster University.
    22. Belalia, Mohamed & Bouezmarni, Taoufik & Leblanc, Alexandre, 2017. "Smooth conditional distribution estimators using Bernstein polynomials," Computational Statistics & Data Analysis, Elsevier, vol. 111(C), pages 166-182.
    23. Daraio, Cinzia & Simar, Léopold & Wilson, Paul W., 2021. "Quality as a latent heterogeneity factor in the efficiency of universities," Economic Modelling, Elsevier, vol. 99(C).
    24. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2019. "Quality and its impact on efficiency," LIDAM Discussion Papers ISBA 2019004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    25. Mastromarco, Camilla & Simar, Léopold & Van Keilegom, Ingrid, 2022. "Estimating Nonparametric Conditional Frontiers and Efficiencies: A New Approach," LIDAM Discussion Papers ISBA 2022035, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    26. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    27. Daraio, Cinzia & Simar, Leopold & Wilson, Paul W., 2019. "Fast and efficient computation of directional distance estimators," LIDAM Reprints ISBA 2019022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    28. Mehmet Balcilar & Rangan Gupta & Wei Ma & Philton Makena, 2018. "Income Inequality and Economic Growth: A Re-Examination of Theory and Evidence," Working Papers 201844, University of Pretoria, Department of Economics.
    29. Qiao Guangshun & Lu Yulin, 2024. "Operating Efficiency in the Capital-Intensive Semiconductor Industry: A Nonparametric Frontier Approach," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-17, January.
    30. Simar, Léopold & Wilson, Paul, 2022. "Modern Tools for Evaluating the Performance of Health-Care Providers," LIDAM Discussion Papers ISBA 2022006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    31. Daouia, Abdelaati & Laurent, Thibault & Noh, Hohsuk, 2017. "npbr: A Package for Nonparametric Boundary Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i09).
    32. Guangshun Qiao & Zhan-ao Wang, 2021. "Vertical integration vs. specialization: a nonparametric conditional efficiency estimate for the global semiconductor industry," Journal of Productivity Analysis, Springer, vol. 56(2), pages 139-150, December.
    33. Hong Chen & Maik Döring & Uwe Jensen, 2018. "Test for model selection using Cramér–von Mises distance in a fixed design regression setting," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(4), pages 505-535, October.
    34. Mickaël De Backer & Anouar El Ghouch & Ingrid Van Keilegom, 2020. "Linear censored quantile regression: A novel minimum‐distance approach," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1275-1306, December.
    35. Pianpool Kamoljitprapa & Fazil M. Baksh & Andrea De Gaetano & Orathai Polsen & Piyachat Leelasilapasart, 2023. "Statistical Study Design for Analyzing Multiple Gene Loci Correlation in DNA Sequences," Mathematics, MDPI, vol. 11(23), pages 1-14, November.
    36. Dovern, Jonas & Manner, Hans, 2016. "Order Invariant Evaluation of Multivariate Density Forecasts," Working Papers 0608, University of Heidelberg, Department of Economics.
    37. Jeffrey Racine, 2015. "Mixed data kernel copulas," Empirical Economics, Springer, vol. 48(1), pages 37-59, February.
    38. Tepegjozova Marija & Zhou Jing & Claeskens Gerda & Czado Claudia, 2022. "Nonparametric C- and D-vine-based quantile regression," Dependence Modeling, De Gruyter, vol. 10(1), pages 1-21, January.
    39. Wolski, Marcin, 2018. "Sovereign risk and corporate cost of borrowing: Evidence from a counterfactual study," EIB Working Papers 2018/05, European Investment Bank (EIB).
    40. Shih-Kang Chao & Katharina Proksch & Holger Dette & Wolfgang Härdle, 2014. "Confidence Corridors for Multivariate Generalized Quantile Regression," SFB 649 Discussion Papers SFB649DP2014-028, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    41. Patilea, Valentin & Van Keilegom, Ingrid, 2017. "A general approach for cure models in survival analysis," LIDAM Discussion Papers ISBA 2017008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    42. Karen X. Yan & Qi Li, 2018. "Nonparametric Estimation of a Conditional Quantile Function in a Fixed Effects Panel Data Model," JRFM, MDPI, vol. 11(3), pages 1-10, August.
    43. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    44. Das, Sonali & Racine, Jeffrey S., 2018. "Interactive nonparametric analysis of nonlinear systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 290-301.
    45. Ana López-Cheda & Yingwei Peng & María Amalia Jácome, 2023. "Nonparametric estimation in mixture cure models with covariates," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 467-495, June.
    46. Kellner, Ralf & Nagl, Maximilian & Rösch, Daniel, 2022. "Opening the black box – Quantile neural networks for loss given default prediction," Journal of Banking & Finance, Elsevier, vol. 134(C).
    47. Chen, Xirong & Li, Degui & Li, Qi & Li, Zheng, 2019. "Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates," Journal of Econometrics, Elsevier, vol. 212(2), pages 433-450.
    48. Long, Wei & Ouyang, Min & Shang, Ying, 2013. "Efficient estimation of partially linear varying coefficient models," Economics Letters, Elsevier, vol. 121(1), pages 79-81.

  8. Li, Qi & Walsh, Patrick Paul & Whelan, Ciara, 2007. "Jobless Growth through Creative Destruction: Ireland’s Industrial Development Path 1972–2003," IZA Discussion Papers 3211, Institute of Labor Economics (IZA).

    Cited by:

    1. Qi Li & Patrick Paul Walsh, 2009. "The Firm Size Distribution in a Small Open Economy: Theory and Evidence," Working Papers 200920, Geary Institute, University College Dublin.

  9. Cheng Hsiao & Qi Li & Jeff Racine, 2006. "A Consistent Model Specification Test with Mixed Discrete and Continuous Data," IEPR Working Papers 06.47, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Ashby, M. & Linton, O. B., 2022. "Do Consumption-based Asset Pricing Models Explain Own-history Predictability in Stock Market Returns?," Janeway Institute Working Papers 2226, Faculty of Economics, University of Cambridge.
    2. Spyridon Boikos & Alberto Bucci & Thanasis Stengos, 2012. "Non-Monotonicity of Fertility in Human Capital Accumulation and Economic Growth," Working Papers 1213, University of Guelph, Department of Economics and Finance.
    3. Karimu, Amin & Brännlund, Runar, 2013. "Functional form and aggregate energy demand elasticities: A nonparametric panel approach for 17 OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 19-27.
    4. Spyridon Boikos, 2016. "Corruption, Public Expenditure and Human Capital Accumulation," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 8(1), pages 17-45, June.
    5. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    6. Galina Besstremyannaya & Jaak Simm, 2014. "Multi-payer health insurance systems in Central and Eastern Europe: lessons from the Czech Republic, Slovakia, and Russia," Working Papers w0203, Center for Economic and Financial Research (CEFIR).
    7. Shahbaz, Muhammad & Shafiullah, Muhammad & Khalid, Usman & Song, Malin, 2020. "A nonparametric analysis of energy environmental Kuznets Curve in Chinese Provinces," Energy Economics, Elsevier, vol. 89(C).
    8. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    9. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).
    10. Justin Dang & Aman Ullah, 2022. "Generalized Kernel Regularized Least Squares Estimator with Parametric Error Covariance," Working Papers 202303, University of California at Riverside, Department of Economics, revised Mar 2023.
    11. Andrea Vaona, 2008. "The sensitivity of nonparametric misspecification tests to disturbance autocorrelation," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 0803, USI Università della Svizzera italiana.
    12. Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 219-232, July.
    13. Pérez García Francisco & Tortosa-Ausina Emili & Arribas Fernández Iván, 2009. "The Determinants of International Financial Integration Revisited: The Role of Networks and Geographic Neutrality," Working Papers 201049, Fundacion BBVA / BBVA Foundation.
    14. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.
    15. C. Ordás Criado & S. Valente & T. Stengos, 2011. "Growth and Pollution Convergence: Theory and Evidence," Working Paper series 33_11, Rimini Centre for Economic Analysis.
    16. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    17. Chuku, Chuku & Onye, Kenneth & Ajah, Hycent, 2015. "Structural and institutional determinants of investment activity in Africa," MPRA Paper 68163, University Library of Munich, Germany.
    18. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    19. Mingming Jiang, 2014. "Saving–investment Association and Regional Capital Mobility in China: A Nonparametric Panel Approach," Pacific Economic Review, Wiley Blackwell, vol. 19(2), pages 184-200, May.
    20. Georg Man, 2015. "Bank Competition, Economic Growth, and Nonlinearity: A Nonparametric Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(3), pages 310-324, July.
    21. Kwabena Gyimah-Brempong & Jeffrey S. Racine, 2014. "Aid and Economic Growth: A Robust Approach," Department of Economics Working Papers 2014-03, McMaster University.
    22. Galina Besstremyannaya & Jaak Simm, 2012. "The impact of private health insurers on the quality of Russian regional health systems," Working Papers w0177, Center for Economic and Financial Research (CEFIR).
    23. Sofi, Arfat Ahmad & Bhat, Mohammad Younus & Ahmad, Laraib & Aara, Ruhi Refath & Aswani, RS, 2022. "Renewable energy and transitioning towards sustainable tourism: Inferences from kernel density and nonparametric approach," Renewable Energy, Elsevier, vol. 193(C), pages 963-975.
    24. Haupt, Harry & Schnurbus, Joachim & Tschernig, Rolf, 2008. "On Nonparametric Estimation of a Hedonic Price Function," University of Regensburg Working Papers in Business, Economics and Management Information Systems 429, University of Regensburg, Department of Economics.
    25. Pandit, Mahesh & Paudel, Krishna P. & Hinson, Roger A., 2013. "Market Channel Analysis of Ornamental Plants using Clustering Procedures," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143067, Southern Agricultural Economics Association.
    26. Wang, Luya, 2022. "Adaptive testing using data-driven method selecting smoothing parameters," Economics Letters, Elsevier, vol. 215(C).
    27. Daniel J. Henderson, 2009. "A Non‐parametric Examination of Capital–Skill Complementarity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 519-538, August.
    28. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    29. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    30. Hafner, Christian & Walders, Fabian, 2017. "Heterogeneous Liquidity Effects in Corporate Bond Spreads," LIDAM Reprints ISBA 2017037, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    31. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    32. Thomas Triebs & Subal C. Kumbhakar, 2012. "Management Practice in Production," ifo Working Paper Series 129, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    33. Ashby, M. & Linton, O. B., 2022. "Do Consumption-based Asset Pricing Models Explain Own-history Predictability in Stock Market Returns?," Cambridge Working Papers in Economics 2259, Faculty of Economics, University of Cambridge.
    34. Haupt, Harry & Meier, Verena, 2016. "Dealing with heterogeneity, nonlinearity and club misclassification in growth convergence: A nonparametric two-step approach," Center for Mathematical Economics Working Papers 455, Center for Mathematical Economics, Bielefeld University.
    35. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    36. Guido Candela & Massimiliano Castellani & Pierpaolo Pattitoni, 2011. "Tribal Art Market. Signs and Signals," Working Paper series 02_11, Rimini Centre for Economic Analysis, revised Feb 2012.
    37. Célestin C. Kokonendji & Sobom M. Somé & Youssef Esstafa & Marcelo Bourguignon, 2023. "On Underdispersed Count Kernels for Smoothing Probability Mass Functions," Stats, MDPI, vol. 6(4), pages 1-15, November.
    38. Samuele Centorrino & Jean-Pierre Florens, 2014. "Nonparametric Instrumental Variable Estimation of Binary Response Models," Department of Economics Working Papers 14-07, Stony Brook University, Department of Economics.
    39. Besstremyannaya, Galina, 2015. "Measuring the effect of health insurance companies on the quality of healthcare systems with kernel and parametric regressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 3-20.
    40. Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
    41. Rafael Boix‐Domenech & Jesús Peiró‐Palomino & Pau Rausell‐Köster, 2021. "Creative industries and productivity in the European regions. Is there a Mediterranean effect?," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1546-1564, October.
    42. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.
    43. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.
    44. Pecoraro, Brandon, 2014. "Inequality in democracies: Testing the classic democratic theory of redistribution," Economics Letters, Elsevier, vol. 123(3), pages 398-401.
    45. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    46. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    47. Cassandro Mendes & Olugbenga Adesida, 2013. "Income inequality and economic development: evidence from sub-Saharan African countries," Economics Bulletin, AccessEcon, vol. 33(2), pages 1565-1574.
    48. Lawrence Dacuycuy, 2006. "The effects of bandwidth changes on model validity: an empirical study," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 629-633.
    49. Shafiullah, Muhammad & Miah, Mohammad Dulal & Alam, Md Samsul & Atif, Muhammad, 2021. "Does economic policy uncertainty affect renewable energy consumption?," Renewable Energy, Elsevier, vol. 179(C), pages 1500-1521.
    50. Galina Besstremyannaya, 2014. "Urban inequity in the performance of social health insurance system: evidence from Russian regions," Working Papers w0204, Center for Economic and Financial Research (CEFIR).
    51. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.
    52. Julien Daubanes & Lisa Leinert, 2012. "Optimum Tariffs and Exhaustible Resources: Theory and Evidence for Gasoline," CER-ETH Economics working paper series 12/163, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    53. Ordás Criado, Carlos & Valente, Simone & Stengos, Thanasis, 2009. "Growth and the pollution convergence hypothesis: A nonparametric approach," MPRA Paper 17492, University Library of Munich, Germany.
    54. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    55. Huynh, Kim P. & Jacho-Chávez, David T., 2009. "Growth and governance: A nonparametric analysis," Journal of Comparative Economics, Elsevier, vol. 37(1), pages 121-143, March.
    56. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    57. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    58. Wang, Le, 2012. "Estimating Returns to Education when the IV Sample is Selective," IZA Discussion Papers 7103, Institute of Labor Economics (IZA).
    59. Porter, Jack & Yu, Ping, 2015. "Regression discontinuity designs with unknown discontinuity points: Testing and estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 132-147.
    60. Gregg, Daniel & Rolfe, John, 2014. "The value of environmental health in agricultural production across nonparametric efficiency quantiles," 2014 Conference, August 28-29, 2014, Nelson, New Zealand 187499, New Zealand Agricultural and Resource Economics Society.
    61. Muhammad Shahbaz & Muhammad Shafiullah & Mantu K. Mahalik, 2019. "The dynamics of financial development, globalisation, economic growth and life expectancy in sub‐Saharan Africa," Australian Economic Papers, Wiley Blackwell, vol. 58(4), pages 444-479, December.
    62. Thomas P. Triebs & Subal C. Kumbhakar, 2018. "Management in production: from unobserved to observed," Journal of Productivity Analysis, Springer, vol. 49(2), pages 111-121, June.
    63. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    64. Lien, Donald & Hu, Yue & Liu, Long, 2017. "A note on using ratio variables in regression analysis," Economics Letters, Elsevier, vol. 150(C), pages 114-117.
    65. Man, Georg, 2014. "Political competition and economic growth: A nonlinear relationship?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 287-302.
    66. Lawrence Dacuycuy, 2005. "On distribution approximation: a simple comparative study on procedural variations of the Zheng test," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-10.
    67. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
    68. Wenceslao González-Manteiga & Rosa Crujeiras, 2013. "An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 361-411, September.
    69. Jibonayan Raychaudhuri & Ada Wossink, 2018. "Ecolabels and The Economic Recession," Economics Discussion Paper Series 1807, Economics, The University of Manchester.
    70. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    71. Pandit, Mahesh & Paudel, Krishna P. & Mishra, Ashok K., 2013. "Do Agricultural Subsidies Affect the Labor Allocation Decision? Comparing Parametric and Semiparametric Methods," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-18, April.
    72. Galina Besstremyannaya & Jaak Simm, 2014. "Multi-payer health insurance systems in Central and Eastern Europe: lessons from the Czech Republic, Slovakia, and Russia," Working Papers w0203, New Economic School (NES).
    73. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    74. Simone Gitto & Paolo Mancuso, 2015. "The contribution of physical and human capital accumulation to Italian regional growth: a nonparametric perspective," Journal of Productivity Analysis, Springer, vol. 43(1), pages 1-12, February.
    75. Rong Zhu, 2014. "The impact of major-job mismatch on college graduates' early career earnings: evidence from China," Education Economics, Taylor & Francis Journals, vol. 22(5), pages 511-528, October.
    76. Escanciano, Juan Carlos & Song, Kyungchul, 2010. "Testing single-index restrictions with a focus on average derivatives," Journal of Econometrics, Elsevier, vol. 156(2), pages 377-391, June.
    77. Paudel, Krishna P. & Park, Timothy A. & Pandit, Mahesh, 2017. "U.S. Farmers' Decision to Choose Direct Sales Channel: A Fractional Seemingly Unrelated Semiparametric Model," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258370, Agricultural and Applied Economics Association.
    78. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    79. Galina Besstremyannaya, 2014. "Urban inequity in the performance of social health insurance system: evidence from Russian regions," Working Papers w0204, New Economic School (NES).
    80. Henderson, Daniel J. & Polachek, Solomon & Wang, Le, 2011. "Heterogeneity in Schooling Rates of Return," IZA Discussion Papers 5662, Institute of Labor Economics (IZA).
    81. Thanasis Stengos & Brennan S. Thompson & Ximing Wu, 2009. "The Evolution of the Conditional Joint Distribution of Life Expectancy and Per Capita Income Growth," Working Papers 0901, University of Guelph, Department of Economics and Finance.
    82. Ping Yu & Qin Liao & Peter C.B. Phillips, 2019. "Inference and Specification Testing in Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 2209, Cowles Foundation for Research in Economics, Yale University.
    83. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2017. "External imbalances and growth," Working Papers 2017/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    84. Dependra Bhatta & Krishna P. Paudel & Kai Liu, 2023. "Factors influencing water conservation practices adoptions by Nepali farmers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10879-10901, October.
    85. Liu, Liyi & McManus, Doug & Yannopoulos, Elias, 2022. "Geographic and temporal variation in housing filtering rates," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    86. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    87. Liangjun Su & Yundong Tu & Aman Ullah, 2015. "Testing Additive Separability of Error Term in Nonparametric Structural Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1057-1088, December.
    88. Hayat, Aziz & Mishra, Sagarika, 2010. "Federal reserve monetary policy and the non-linearity of the Taylor rule," Economic Modelling, Elsevier, vol. 27(5), pages 1292-1301, September.
    89. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    90. Mishra, Sagarika & Narayan, Paresh Kumar, 2015. "A nonparametric model of financial system and economic growth," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 175-191.
    91. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
    92. Geraldine Henningsen & Arne Henningsen & Christian Henning, 2015. "Transaction costs and social networks in productivity measurement," Empirical Economics, Springer, vol. 48(1), pages 493-515, February.
    93. Amin Mugera & Michael Langemeier & Allen Featherstone, 2012. "Labor productivity convergence in the Kansas farm sector: a three-stage procedure using data envelopment analysis and semiparametric regression analysis," Journal of Productivity Analysis, Springer, vol. 38(1), pages 63-79, August.
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  10. Jian Yang & Cheng Hsiao & Qi Li & Zijun Wang, 2005. "The Emerging Market Crisis and Stock Market Linkages: Further Evidence," IEPR Working Papers 05.27, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Refk Selmi & Jamal Bouoiyour & Amal Miftah, 2019. "China's “New normal”: Will China's growth slowdown derail the BRICS stock markets?," International Economics, CEPII research center, issue 159, pages 121-139.
    2. Balli, Faruk & Balli, Hatice O. & Jean Louis, Rosmy & Vo, Tuan Kiet, 2015. "The transmission of market shocks and bilateral linkages: Evidence from emerging economies," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 349-357.
    3. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    4. Viorica Chirilă & Ciprian Chirilă, 2020. "Asymmetric Return and Volatility Transmission in Euro Zone and Baltic Countries Stock Markets," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 2-11, December.
    5. Payal Jain & Sanjay Sehgal, 2019. "An examination of return and volatility spillovers between mature equity markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 180-210, January.
    6. Jan F. Kiviet & Zhenxi Chen, 2018. "A Critical Appraisal of Studies Analyzing Co-movement of International Stock Markets," Annals of Economics and Finance, Society for AEF, vol. 19(1), pages 151-196, May.
    7. Kunlin Hsieh & Yuching Hsieh & Shigeyuki Hamori, 2010. "The Interdependence of Taiwanese and Japanese Stock Prices," Economics Bulletin, AccessEcon, vol. 30(1), pages 879-892.
    8. Yang, Jian & Yu, Ziliang & Ma, Jun, 2019. "China's financial network with international spillovers: A first look," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    9. Shailesh Rastogi, 2013. "Long-term Association of Stock Markets of Different Nations: An Empirical Study," Vision, , vol. 17(4), pages 303-313, December.
    10. Florin Aliu & Besnik Krasniqi & Adriana Knapkova & Fisnik Aliu, 2019. "Interdependence and Risk Comparison of Slovak, Hungarian and Polish Stock Markets: Policy and Managerial Implications," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 69(2), pages 273-287, June.
    11. John Beirne & Guglielmo Maria Caporale & Marianne Schulze-Ghattas & Nicola Spagnolo, 2009. "Global and Regional Spillovers in Emerging Stock Markets: A Multivariate GARCH-in-mean Analysis," CESifo Working Paper Series 2794, CESifo.
    12. Numan Ülkü, 2011. "Modeling Comovement among Emerging Stock Markets: The Case of Budapest and Istanbul," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(3), pages 277-304, July.
    13. Guidi, Francesco & Gupta, Rakesh, 2010. "Cointegration and conditional correlations among German and Eastern Europe equity markets," MPRA Paper 21732, University Library of Munich, Germany.
    14. Jan F. Kiviet, 2016. "Discriminating between (in)valid external instruments and (in)valid exclusion restrictions," Economic Growth Centre Working Paper Series 1508, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    15. Nistor, Costel & Stefanescu, Razvan & Dumitriu, Ramona, 2009. "The impact of the US stock market on the Romanian stock market in the context of the financial crisis," MPRA Paper 36862, University Library of Munich, Germany, revised 22 Feb 2012.
    16. Rousova, Linda, 2009. "Are the Central European Stock Markets Still Different? A Cointegration Analysis," Discussion Papers in Economics 10993, University of Munich, Department of Economics.
    17. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    18. Jamal Bouoiyour & Refk Selmi, 2016. "The responses of BRICS Equities to China's Slowdown: A Multi-Scale Causality Analysis," Working papers of CATT hal-01880323, HAL.
    19. Ziliang Yu & Jian Yang & Robert I. Webb, 2023. "Price discovery in China's crude oil futures markets: An emerging Asian benchmark?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(3), pages 297-324, March.
    20. Neharika Sobti, 2018. "Domestic intermarket linkages: measuring dynamic return and volatility connectedness among Indian financial markets," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(4), pages 325-344, December.
    21. Petmezas, Dimitris & Santamaria, Daniel, 2014. "Investor induced contagion during the banking and European sovereign debt crisis of 2007–2012: Wealth effect or portfolio rebalancing?," Journal of International Money and Finance, Elsevier, vol. 49(PB), pages 401-424.
    22. Hui, Eddie C.M. & Chen, Jia, 2012. "Investigating the change of causality in emerging property markets during the financial tsunami," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(15), pages 3951-3962.
    23. Balli, Faruk & Hajhoj, Hassan Rafdan & Basher, Syed Abul & Ghassan, Hassan Belkacem, 2015. "An analysis of returns and volatility spillovers and their determinants in emerging Asian and Middle Eastern countries," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 311-325.
    24. Ibhagui, Oyakhilome, 2018. "Interrelations among cross-currency basis swap spreads: Pre-and post-crisis analysis," MPRA Paper 89024, University Library of Munich, Germany.
    25. Sanjay Sehgal & Payal Jain & Florent Deisting, 2018. "Information Transmission between Mature and Emerging Equity Markets During Normal and Crisis Periods: An Empirical Examination," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(1), pages 185-225, March.
    26. Calice, Giovanni, 2014. "CDX and iTraxx and their relation to the systemically important financial institutions: Evidence from the 2008–2009 financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 20-37.
    27. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    28. Jiadong Tong & Zijun Wang & Jian Yang, 2016. "Information Flow Between Forward and Spot Markets: Evidence From the Chinese Renminbi," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(7), pages 695-718, July.
    29. Grabowski, Wojciech & Welfe, Aleksander, 2020. "The Tobit cointegrated vector autoregressive model: An application to the currency market," Economic Modelling, Elsevier, vol. 89(C), pages 88-100.
    30. Francisca Pérez, 2013. "Are International Market Linkages Stronger? Comparison between 1990s and 2000s," Working Papers Central Bank of Chile 687, Central Bank of Chile.
    31. Jan F. Kiviet & Zhenxi Chen, 2016. "A critical appraisal of studies analyzing co-movement of international stock markets with a focus on East-Asian indices," Economic Growth Centre Working Paper Series 1606, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    32. Rajan Sruthi & Santhakumar Shijin, 2020. "Investigating liquidity constraints as a channel of contagion: a regime switching approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-21, December.
    33. Andreou, Elena & Matsi, Maria & Savvides, Andreas, 2013. "Stock and foreign exchange market linkages in emerging economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 248-268.
    34. Yang, Lixiong & Lee, Chingnun & Shie, Fu Shuen, 2014. "How close a relationship does a capital market have with other markets? A reexamination based on the equal variance test," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 198-226.
    35. Raúl de Jesús Gutiérrez & Edgar Ortiz & Oswaldo García Salgado, 2017. "Los efectos de largo plazo de la asimetría y persistencia en la predicción de la volatilidad: evidencia para mercados accionarios de América Latina," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1063-1080, Octubre-D.
    36. Ajaya Kumar Panda & Swagatika Nanda, 2018. "A GARCH Modelling of Volatility and M-GARCH Approach of Stock Market Linkages of North America," Global Business Review, International Management Institute, vol. 19(6), pages 1538-1553, December.
    37. Prashant Joshi, 2011. "Return and Volatility Spillovers Among Asian Stock Markets," SAGE Open, , vol. 1(1), pages 21582440114, June.
    38. Li, Hong & Majerowska, Ewa, 2008. "Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach," Research in International Business and Finance, Elsevier, vol. 22(3), pages 247-266, September.

  11. Shripad Tuljapurkar & Ronald D. Lee & Qi Li, 2004. "Random Scenario Forecasts Versus Stochastic Forecasts," Working Papers wp073, University of Michigan, Michigan Retirement Research Center.

    Cited by:

    1. Gianni Corsetti & Marco Marsili, 2013. "Previsioni stocastiche della popolazione nell’ottica di un Istituto Nazionale di Statistica," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 5-29.
    2. F. C. Billari & R. Graziani & E. Melilli, 2012. "Stochastic population forecasts based on conditional expert opinions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 491-511, April.
    3. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    4. António Brandão Moniz, 2008. "Assessing scenarios on the future of work," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 4(4), pages 91-106, November.

  12. Li Gan & Qi Li, 2004. "Efficiency of Thin and Thick Markets," NBER Working Papers 10815, National Bureau of Economic Research, Inc.

    Cited by:

    1. FU, Shihe & DONG, Xiaofang & CHAI, Guojun, 2010. "Industry specialization, diversification, churning, and unemployment in Chinese cities," China Economic Review, Elsevier, vol. 21(4), pages 508-520, December.
    2. Su, Yaqin & Hua, Yue & Deng, Lanfang, 2021. "Agglomeration of human capital: Evidence from city choice of online job seekers in China," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    3. Fan, Yanqin & Hou, Lei & Yan, Karen X., 2018. "On the density estimation of air pollution in Beijing," Economics Letters, Elsevier, vol. 163(C), pages 110-113.
    4. Vincent Geloso, 2016. "The Turnover-Reducing Effects of the Minimum Wage may Harm the Economy," Economic Affairs, Wiley Blackwell, vol. 36(3), pages 318-325, October.
    5. Nicole Maestas & Kathleen J. Mullen & David Powell, 2016. "The Effect of Population Aging on Economic Growth, the Labor Force and Productivity," NBER Working Papers 22452, National Bureau of Economic Research, Inc.
    6. Li Gan & Qinghua Zhang, 2006. "The Thick Market Effect on Housing Markets Transactions," NBER Working Papers 12134, National Bureau of Economic Research, Inc.
    7. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    8. Philip J. Cook & Jens Ludwig & Sudhir Venkatesh & Anthony A. Braga, 2005. "Underground Gun Markets," NBER Working Papers 11737, National Bureau of Economic Research, Inc.
    9. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219, February.
    10. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
    11. Pengzhou Wu & Kenji Fukumizu, 2021. "$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap," Papers 2110.05225, arXiv.org.
    12. Eugenia Anatolyevna Kolomak, 2018. "Why Cities Emerge and Grow? Explanations of Theoretical and Empirical Studies," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 134-153.
    13. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.
    14. Xinyi Lyu & Tiaojun Xiao & Jingquan Li, 2024. "Evolution of direct network effects: A perspective of market thickness of an online freight platform," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-16, December.

  13. Li, Q., 1994. "A Consistent Test for Linearity in Partially Linear Regression Models," Working Papers 1994-7, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Huang, Ta-Cheng & Li, Hongjun & Li, Zheng, 2020. "A modified bootstrap for kernel-based specification test with heavy-tailed data," Economics Letters, Elsevier, vol. 189(C).
    2. Li, Q. & Wang, Suojin, 1998. "A simple consistent bootstrap test for a parametric regression function," Journal of Econometrics, Elsevier, vol. 87(1), pages 145-165, August.
    3. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    4. Shaw, Philip & Mauro, Joseph A., 2023. "The macroeconomic implications of corruption in the choice to educate," Economic Systems, Elsevier, vol. 47(2).
    5. Lahaye, Jerome & Shaw, Philip, 2014. "Can we reject linearity in an HAR-RV model for the S&P 500? Insights from a nonparametric HAR-RV," Economics Letters, Elsevier, vol. 125(1), pages 43-46.
    6. König, Anja, 1997. "Schätzen und Testen in semiparametrischen partiell linearen Modellen für die Paneldatenanalyse," Hannover Economic Papers (HEP) dp-208, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  14. Li, Q., 1994. "Estimating a Stochastic Production Frontier when the Adjusted Error is Symmetric," Working Papers 1994-8, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
    2. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    3. Christopher F. Parmeter & Alan T. K. Wan & Xinyu Zhang, 2019. "Model averaging estimators for the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 51(2), pages 91-103, June.
    4. Carree, Martin A., 2002. "Technological inefficiency and the skewness of the error component in stochastic frontier analysis," Economics Letters, Elsevier, vol. 77(1), pages 101-107, September.
    5. Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.
    6. Zhao, Shirong & Parmeter, Christopher F., 2022. "The “wrong skewness” problem: Moment constrained maximum likelihood estimation of the stochastic frontier model," Economics Letters, Elsevier, vol. 221(C).
    7. Jradi, Samah & Parmeter, Christopher F. & Ruggiero, John, 2021. "Quantile estimation of stochastic frontiers with the normal-exponential specification," European Journal of Operational Research, Elsevier, vol. 295(2), pages 475-483.

  15. Li, Q. & Kniesner, T.J., 1994. "Semiparametric Panel Date Models with Hetergeneous Dynamic Adjustment: Theoretical Considerations and an Application to Labor Supply," Working Papers 1994-9, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Qi Li & Aman Ullha, 1998. "Estimating partially linear panel data models with one-way error components," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 145-166.
    2. You, Jinhong & Zhou, Xian, 2006. "Statistical inference in a panel data semiparametric regression model with serially correlated errors," Journal of Multivariate Analysis, Elsevier, vol. 97(4), pages 844-873, April.
    3. Li, Qi & Stengos, Thanasis, 1996. "Semiparametric estimation of partially linear panel data models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 389-397.

  16. Stengos, T. & Li, Q., 1993. "Adaptive Estimation in the Panel Data Error Component Model with Heteroskedasticity of Unknown Form," Working Papers 1993-4, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Thanasis Stengos & Ximing Wu, 2005. "Partially Adaptive Estimation via Maximum Entropy Densities," University of Cyprus Working Papers in Economics 6-2005, University of Cyprus Department of Economics.
    2. Eduardo Fé, 2012. "Instrumental variable estimation of heteroskedasticity adaptive error component models," Statistical Papers, Springer, vol. 53(3), pages 577-615, August.
    3. Juhl, Ted & Sosa-Escudero, Walter, 2014. "Testing for heteroskedasticity in fixed effects models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 484-494.
    4. Bresson G. & Hsiao C. & Pirotte A., 2007. "Assessing the Contribution of R&D to Total Factor Productivity – a Bayesian Approach to Account for Heterogeneity And Heteroscedasticity," Working Papers ERMES 0708, ERMES, University Paris 2.
    5. Yiguo Sun & Thanasis Stengos, 2008. "The absolute health income hypothesis revisited: a semiparametric quantile regression approach," Empirical Economics, Springer, vol. 35(2), pages 395-412, September.
    6. Kouassi, Eugene & Mougoué, Mbodja & Sango, Joel & Bosson Brou, J.M. & Amba, Claude M.O. & Salisu, Afeez Adebare, 2014. "Testing for heteroskedasticity and spatial correlation in a two way random effects model," Computational Statistics & Data Analysis, Elsevier, vol. 70(C), pages 153-171.
    7. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2014. "Firm-level Productivity Spillovers in China's Chemical Industry: A Spatial Hausman-Taylor Approach," Center for Policy Research Working Papers 175, Center for Policy Research, Maxwell School, Syracuse University.
    8. Nilanjana Roy, 2002. "Is Adaptive Estimation Useful For Panel Models With Heteroskedasticity In The Individual Specific Error Component? Some Monte Carlo Evidence," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 189-203.
    9. You, Jinhong & Zhou, Xian & Zhou, Yong, 2010. "Statistical inference for panel data semiparametric partially linear regression models with heteroscedastic errors," Journal of Multivariate Analysis, Elsevier, vol. 101(5), pages 1079-1101, May.
    10. Alain Pirotte & Jean-Loup Madre, 2011. "Determinants of Urban Sprawl in France," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2865-2886, October.
    11. Baltagi B-H. & Bresson G. & Pirotte A., 2004. "Joint LM test for homoskedasticity in a one-way error component model," Working Papers ERMES 0408, ERMES, University Paris 2.
    12. Platoni, Silvia & Barbieri, Laura & Moro, Daniele & Sckokai, Paolo, 2020. "Heteroscedastic stratified two-way EC models of single equations and SUR systems," Econometrics and Statistics, Elsevier, vol. 15(C), pages 46-66.
    13. Badi H. Baltagi & Byoung Cheol Jung & Seuck Heun Song, 2008. "Testing for Heteroskedasticity and Serial Correlation in a Random Effects Panel Data Model," Center for Policy Research Working Papers 111, Center for Policy Research, Maxwell School, Syracuse University.
    14. Eduardo Fé Rodríguez, 2009. "Adaptive Instrumental Variable Estimation of Heteroskedastic Error Component Models," Economics Discussion Paper Series 0921, Economics, The University of Manchester.
    15. Badi H. Baltagi & Seuck Heun Song & Jae Hyeok Kwon, 2008. "Testing for Heteroskedasticity and Spatial Correlation in a Random Effects Panel Data Model," Center for Policy Research Working Papers 108, Center for Policy Research, Maxwell School, Syracuse University.
    16. Platoni, Silvia & Sckokai, Paolo & Moro, Daniele, 2008. "Panel Data Estimation Techniques for Farm-level Data Model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44268, European Association of Agricultural Economists.

  17. Fan, Y. & Li, Q. & Stengos, T., 1992. "Root-Consistent Semiparametric Regression with Conditionally Heteroskedastic Disturbances," Working Papers 1992-17, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. Elena Ketteni & Theofanis P. Mamuneas & Thanasis Stengos, 2007. "Nonlinearities in Economic Growth: A Semiparametric Approach applied to Information Technology data," Working Papers 0701, University of Guelph, Department of Economics and Finance.
    2. Li, Qi, 1996. "On the root-N-consistent semiparametric estimation of partially linear models," Economics Letters, Elsevier, vol. 51(3), pages 277-285, June.
    3. Patrick Saart & Jiti Gao & Nam Hyun Kim, 2014. "Semiparametric methods in nonlinear time series analysis: a selective review," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(1), pages 141-169, March.
    4. Ketteni, Elena & Mamuneas, Theofanis & Stengos, Thanasis, 2011. "The Effect Of Information Technology And Human Capital On Economic Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 15(5), pages 595-615, November.
    5. Kim, Namhyun & W. Saart, Patrick, 2021. "Estimation in partially linear semiparametric models with parametric and/or nonparametric endogeneity," Cardiff Economics Working Papers E2021/9, Cardiff University, Cardiff Business School, Economics Section.
    6. Li, Qi & Stengos, Thanasis, 1996. "Semiparametric estimation of partially linear panel data models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 389-397.
    7. Thanasis Stengos & Andreas Savvides & Theofanis Mamuneas & Elena Ketteni, 2007. "Is the Financial Development and Economic Growth Relationship Nonlinear?," Economics Bulletin, AccessEcon, vol. 15(14), pages 1-12.
    8. Li, Qi & Delgado, Miguel A. & Stengos, Thanasis, 1994. "Non-parametric specification testing of non-nested econometric models," DES - Working Papers. Statistics and Econometrics. WS 3961, Universidad Carlos III de Madrid. Departamento de Estadística.

  18. Li, Q. & Stengos, T., 1992. "Root-N-Consistent Semiparametric Estimation of a Dynamic Panel Data Model," Working Papers 1992-08, University of Guelph, Department of Economics and Finance.

    Cited by:

    1. König, Anja, 1997. "Schätzen und Testen in semiparametrischen partiell linearen Modellen für die Paneldatenanalyse," Hannover Economic Papers (HEP) dp-208, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Li, Qi & Stengos, Thanasis, 1996. "Semiparametric estimation of partially linear panel data models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 389-397.

  19. R Harris & Q Li, "undated". "Exporting, R&D and Absorptive Capacity in UK Establishments: Evidence from the 2001 Community Innovation Survey," Working Papers 2006_19, Business School - Economics, University of Glasgow.

    Cited by:

    1. Richard Harris, 2008. "Models of Regional Growth: Past, Present and Future," SERC Discussion Papers 0002, Centre for Economic Performance, LSE.
    2. Richard Harris & Qian Cher Li, 2007. "Learning-by-Exporting? Firm-Level Evidence for UK Manufacturing and Services Sectors," Working Papers 2007_22, Business School - Economics, University of Glasgow.
    3. Gans Joshua S & King Stephen P, 2003. "The Neutrality of Interchange Fees in Payment Systems," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-18, January.

Articles

  1. Jingping Gu & Qi Li & Jui-Chung Yang, 2015. "Multivariate Local Polynomial Kernel Estimators: Leading Bias and Asymptotic Distribution," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 979-1010, December.

    Cited by:

    1. Aboubacar Amiri & Baba Thiam, 2018. "Regression estimation by local polynomial fitting for multivariate data streams," Statistical Papers, Springer, vol. 59(2), pages 813-843, June.
    2. Andrea Meilán-Vila & Mario Francisco-Fernández & Rosa M. Crujeiras & Agnese Panzera, 2021. "Nonparametric multiple regression estimation for circular response," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 650-672, September.
    3. Maria Grith & Wolfgang K. Härdle & Alois Kneip & Heiko Wagner, 2016. "Functional Principal Component Analysis for Derivatives of Multivariate Curves," SFB 649 Discussion Papers SFB649DP2016-033, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    4. Centorrino, Samuele & Florens, Jean-Pierre, 2021. "Nonparametric Instrumental Variable Estimation of Binary Response Models with Continuous Endogenous Regressors," Econometrics and Statistics, Elsevier, vol. 17(C), pages 35-63.
    5. Shi, Jianhong & Bai, Xiuqin & Song, Weixing, 2020. "Nonparametric regression estimate with Berkson Laplace measurement error," Statistics & Probability Letters, Elsevier, vol. 166(C).
    6. Neumeyer, Natalie & Noh, Hohsuk & Van Keilegom, Ingrid, 2014. "Heteroscedastic semiparametric transformation models: estimation and testing for validity," LIDAM Discussion Papers ISBA 2014047, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Chan Shen, 2019. "Recursive Differencing for Estimating Semiparametric Models," Departmental Working Papers 201903, Rutgers University, Department of Economics.

  2. Henderson, Daniel J. & Li, Qi & Parmeter, Christopher F. & Yao, Shuang, 2015. "Gradient-based smoothing parameter selection for nonparametric regression estimation," Journal of Econometrics, Elsevier, vol. 184(2), pages 233-241.
    See citations under working paper version above.
  3. Chen, Zheng-Ao & Li, Qi & Liu, Lan-Cui & Zhang, Xian & Kuang, Liping & Jia, Li & Liu, Guizhen, 2015. "A large national survey of public perceptions of CCS technology in China," Applied Energy, Elsevier, vol. 158(C), pages 366-377.

    Cited by:

    1. d'Amore, Federico & Mocellin, Paolo & Vianello, Chiara & Maschio, Giuseppe & Bezzo, Fabrizio, 2018. "Economic optimisation of European supply chains for CO2 capture, transport and sequestration, including societal risk analysis and risk mitigation measures," Applied Energy, Elsevier, vol. 223(C), pages 401-415.
    2. Lorraine Whitmarsh & Dimitrios Xenias & Christopher R. Jones, 2019. "Framing effects on public support for carbon capture and storage," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-10, December.
    3. Peter Viebahn & Emile J. L. Chappin, 2018. "Scrutinising the Gap between the Expected and Actual Deployment of Carbon Capture and Storage—A Bibliometric Analysis," Energies, MDPI, vol. 11(9), pages 1-45, September.
    4. Pianta, Silvia & Rinscheid, Adrian & Weber, Elke U., 2021. "Carbon Capture and Storage in the United States: Perceptions, preferences, and lessons for policy," Energy Policy, Elsevier, vol. 151(C).
    5. Zheng, Yawen & Gao, Lin & Li, Sheng & Wang, Dan, 2022. "A comprehensive evaluation model for full-chain CCUS performance based on the analytic hierarchy process method," Energy, Elsevier, vol. 239(PD).
    6. Yang, Lin & Zhang, Xian & McAlinden, Karl J., 2016. "The effect of trust on people's acceptance of CCS (carbon capture and storage) technologies: Evidence from a survey in the People's Republic of China," Energy, Elsevier, vol. 96(C), pages 69-79.
    7. Jiang, Kai & Ashworth, Peta, 2021. "The development of Carbon Capture Utilization and Storage (CCUS) research in China: A bibliometric perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    8. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    9. Qin, Changlei & Yin, Junjun & Feng, Bo & Ran, Jingyu & Zhang, Li & Manovic, Vasilije, 2016. "Modelling of the calcination behaviour of a uniformly-distributed CuO/CaCO3 particle in Ca–Cu chemical looping," Applied Energy, Elsevier, vol. 164(C), pages 400-410.
    10. Bing Bai & Xiaochun Li & Haiqing Wu & Yongsheng Wang & Mingze Liu, 2017. "A methodology for designing maximum allowable wellhead pressure for CO 2 injection: application to the Shenhua CCS demonstration project, China," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(1), pages 158-181, February.
    11. Alexey Cherepovitsyn & Sergey Fedoseev & Pavel Tcvetkov & Ksenia Sidorova & Andrzej Kraslawski, 2018. "Potential of Russian Regions to Implement CO 2 -Enhanced Oil Recovery," Energies, MDPI, vol. 11(6), pages 1-22, June.
    12. Fan, Jing-Li & Shen, Shuo & Wei, Shi-Jie & Xu, Mao & Zhang, Xian, 2020. "Near-term CO2 storage potential for coal-fired power plants in China: A county-level source-sink matching assessment," Applied Energy, Elsevier, vol. 279(C).
    13. Chang Su & Frauke Urban, 2021. "Carbon Neutral China by 2060: The Role of Clean Heating Systems," Energies, MDPI, vol. 14(22), pages 1-16, November.
    14. Jingjing Xie & Yujiao Xian & Guowei Jia, 2023. "An investigation into the public acceptance in China of carbon capture and storage (CCS) technology," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(5), pages 1-22, June.
    15. Errico, Massimiliano & Madeddu, Claudio & Pinna, Daniele & Baratti, Roberto, 2016. "Model calibration for the carbon dioxide-amine absorption system," Applied Energy, Elsevier, vol. 183(C), pages 958-968.
    16. Li, Mingquan & Patiño-Echeverri, Dalia, 2017. "Estimating benefits and costs of policies proposed in the 13th FYP to improve energy efficiency and reduce air emissions of China's electric power sector," Energy Policy, Elsevier, vol. 111(C), pages 222-234.
    17. Carbajo, Ruth & Cabeza, Luisa F., 2022. "Researchers’ perspective within responsible implementation with socio-technical approaches. An example from solar energy research centre in Chile," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    18. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    19. Cioffi, Camille C. & Schweer-Collins, Maria L. & Leve, Leslie D., 2022. "Pregnancy and miscarriage predict suicide attempts but not substance use among dual-systems involved female adolescents," Children and Youth Services Review, Elsevier, vol. 137(C).
    20. Muhammad Ridhuan Tony Lim Abdullah & Saedah Siraj & Zulkipli Ghazali, 2021. "An ISM Approach for Managing Critical Stakeholder Issues Regarding Carbon Capture and Storage (CCS) Deployment in Developing Asian Countries," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    21. Thushara, De Silva M. & Hornberger, George M. & Baroud, Hiba, 2019. "Decision analysis to support the choice of a future power generation pathway for Sri Lanka," Applied Energy, Elsevier, vol. 240(C), pages 680-697.

  4. Yiguo Sun & Cheng Hsiao & Qi Li, 2015. "Volatility Spillover Effect: A Semiparametric Analysis of Non-Cointegrated Process," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 127-145, February.

    Cited by:

    1. Chung Baek, 2020. "Risk Transmissions between Major Foreign Currencies: An Empirical Analysis from the U.S. Perspective," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 19(2), pages 151-168, September.
    2. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.

  5. Fang, Ying & Li, Qi & Wu, Ximing & Zhang, Daiqiang, 2015. "A data-driven smooth test of symmetry," Journal of Econometrics, Elsevier, vol. 188(2), pages 490-501.

    Cited by:

    1. Dai, Xinjie & Niu, Cuizhen & Guo, Xu, 2018. "Testing for central symmetry and inference of the unknown center," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 15-31.
    2. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
    3. Chen, Songnian & Zhou, Yahong & Ji, Yuanyuan, 2018. "Nonparametric identification and estimation of sample selection models under symmetry," Journal of Econometrics, Elsevier, vol. 202(2), pages 148-160.
    4. Delgado, Miguel A. & Song, Xiaojun, 2018. "Nonparametric tests for conditional symmetry," Journal of Econometrics, Elsevier, vol. 206(2), pages 447-471.
    5. Masayuki Hirukawa & Mari Sakudo, 2016. "Testing Symmetry of Unknown Densities via Smoothing with the Generalized Gamma Kernels," Econometrics, MDPI, vol. 4(2), pages 1-27, June.

  6. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.

    Cited by:

    1. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
    2. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    3. Zhe Li & Ping Wang & Tianlong Wu, 2021. "Do foreign institutional investors drive corporate social responsibility? Evidence from listed firms in China," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 338-373, January.
    4. Subal C. Kumbhakar & Kai Sun & Rui Zhang, 2016. "Semiparametric Smooth Coefficient Estimation of a Production System," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 464-482, October.
    5. Zhe Li & Ping Wang, 2023. "Cross‐border mergers and acquisitions and corporate social responsibility: Evidence from Chinese listed firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(1-2), pages 335-376, January.
    6. Chaohua Dong & Jiti Gao & Bin Peng, 2016. "Another Look at Single-Index Models Based on Series Estimation," Monash Econometrics and Business Statistics Working Papers 19/16, Monash University, Department of Econometrics and Business Statistics.
    7. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    8. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    9. Casas Villalba, Maria Isabel & Mao, Xiuping & Lopes Moreira Da Veiga, María Helena, 2020. "Adaptative predictability of stock market returns," DES - Working Papers. Statistics and Econometrics. WS 31648, Universidad Carlos III de Madrid. Departamento de Estadística.
    10. Isabel Casas & Xiuping Mao & Helena Veiga, 2018. "Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium," CREATES Research Papers 2018-10, Department of Economics and Business Economics, Aarhus University.
    11. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Series estimation for single-index models under constraints," Monash Econometrics and Business Statistics Working Papers 5/18, Monash University, Department of Econometrics and Business Statistics.
    12. Cizek, Pavel & Koo, Chao, 2017. "Jump-Preserving Varying-Coefficient Models for Nonlinear Time Series," Other publications TiSEM c849e96f-3ad1-461e-96c6-f, Tilburg University, School of Economics and Management.
    13. Isabel Casas & Eva Ferreira & Susan Orbe, 2017. "Time-varying coefficient estimation in SURE models. Application to portfolio management," CREATES Research Papers 2017-33, Department of Economics and Business Economics, Aarhus University.
    14. Xu, Ke-Li, 2017. "Regression discontinuity with categorical outcomes," Journal of Econometrics, Elsevier, vol. 201(1), pages 1-18.
    15. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    16. Ye Chen & Jian Li & Qiyuan Li, 2023. "Seemingly Unrelated Regression Estimation for VAR Models with Explosive Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 910-937, August.
    17. Li, Hong & Shi, Yanlin, 2021. "A new unique information share measure with applications on cross-listed Chinese banks," Journal of Banking & Finance, Elsevier, vol. 128(C).
    18. Shun Matsuura & Hiroshi Kurata, 2020. "Covariance matrix estimation in a seemingly unrelated regression model under Stein’s loss," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 79-99, March.

  7. Esfandiar Maasoumi & Qi Li, 2015. "The Special Issue in Honor of Aman Ullah: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 653-658, December.

    Cited by:

    1. Tlili, Olfa & Mansilla, Christine & Robinius, Martin & Syranidis, Konstantinos & Reuss, Markus & Linssen, Jochen & André, Jean & Perez, Yannick & Stolten, Detlef, 2019. "Role of electricity interconnections and impact of the geographical scale on the French potential of producing hydrogen via electricity surplus by 2035," Energy, Elsevier, vol. 172(C), pages 977-990.
    2. Dietzenbacher, Erik & Kulionis, Viktoras & Capurro, Filippo, 2020. "Measuring the effects of energy transition: A structural decomposition analysis of the change in renewable energy use between 2000 and 2014," Applied Energy, Elsevier, vol. 258(C).

  8. He, N. & Zhang, D.Z. & Li, Q., 2014. "Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system," International Journal of Production Economics, Elsevier, vol. 149(C), pages 117-130.

    Cited by:

    1. Gansterer, Margaretha, 2015. "Aggregate planning and forecasting in make-to-order production systems," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 521-528.
    2. Surbhi Upadhyay & Suresh Kumar Garg & Rishu Sharma, 2023. "Analyzing the Factors for Implementing Make-to-Order Manufacturing System," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    3. Li, Xingyu & Epureanu, Bogdan I., 2020. "An agent-based approach to optimizing modular vehicle fleet operation," International Journal of Production Economics, Elsevier, vol. 228(C).
    4. Son Duy Dao & Kazem Abhary & Romeo Marian, 2018. "An innovative model for resource scheduling in VCIM systems," Operational Research, Springer, vol. 18(1), pages 33-54, April.
    5. Kucukkoc, Ibrahim & Zhang, David Z., 2014. "Mathematical model and agent based solution approach for the simultaneous balancing and sequencing of mixed-model parallel two-sided assembly lines," International Journal of Production Economics, Elsevier, vol. 158(C), pages 314-333.
    6. Becker, Till & Illigen, Christoph & McKelvey, Bill & Hülsmann, Michael & Windt, Katja, 2016. "Using an agent-based neural-network computational model to improve product routing in a logistics facility," International Journal of Production Economics, Elsevier, vol. 174(C), pages 156-167.
    7. Guo, Daqiang & Li, Mingxing & Lyu, Zhongyuan & Kang, Kai & Wu, Wei & Zhong, Ray Y. & Huang, George Q., 2021. "Synchroperation in industry 4.0 manufacturing," International Journal of Production Economics, Elsevier, vol. 238(C).
    8. Mohd. Shaaban Hussain & Mohammed Ali, 2019. "A Multi-agent Based Dynamic Scheduling of Flexible Manufacturing Systems," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(3), pages 267-290, September.
    9. Amirhosein Gholami & Nasim Nezamoddini & Mohammad T. Khasawneh, 2023. "Customized orders management in connected make-to-order supply chains," Operations Management Research, Springer, vol. 16(3), pages 1428-1443, September.

  9. Song, Shaokun & Dong, Lijie & Zhang, Yang & Chen, Shun & Li, Qi & Guo, Yi & Deng, Sufen & Si, Shuai & Xiong, Chuanxi, 2014. "Lauric acid/intercalated kaolinite as form-stable phase change material for thermal energy storage," Energy, Elsevier, vol. 76(C), pages 385-389.

    Cited by:

    1. Abden, Md Jaynul & Tao, Zhong & Pan, Zhu & George, Laurel & Wuhrer, Richard, 2020. "Inclusion of methyl stearate/diatomite composite in gypsum board ceiling for building energy conservation," Applied Energy, Elsevier, vol. 259(C).
    2. Zhang, Xiaoguang & Yin, Zhaoyu & Meng, Dezhi & Huang, Zhaohui & Wen, Ruilong & Huang, Yaoting & Min, Xin & Liu, Yangai & Fang, Minghao & Wu, Xiaowen, 2017. "Shape-stabilized composite phase change materials with high thermal conductivity based on stearic acid and modified expanded vermiculite," Renewable Energy, Elsevier, vol. 112(C), pages 113-123.
    3. Ibrahim, Nasiru I. & Al-Sulaiman, Fahad A. & Rahman, Saidur & Yilbas, Bekir S. & Sahin, Ahmet Z., 2017. "Heat transfer enhancement of phase change materials for thermal energy storage applications: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 26-50.
    4. Song, Shaokun & Zhao, Tingting & Qiu, Feng & Zhu, Wanting & Chen, Taorui & Guo, Yi & Zhang, Yang & Wang, Yuqi & Feng, Rui & Liu, Yang & Xiong, Chuanxi & Zhou, Jian & Dong, Lijie, 2019. "Natural microtubule encapsulated phase change material with high thermal energy storage capacity," Energy, Elsevier, vol. 172(C), pages 1144-1150.
    5. Kheradmand, Mohammad & Azenha, Miguel & de Aguiar, José L.B. & Castro-Gomes, João, 2016. "Experimental and numerical studies of hybrid PCM embedded in plastering mortar for enhanced thermal behaviour of buildings," Energy, Elsevier, vol. 94(C), pages 250-261.
    6. Umair, Malik Muhammad & Zhang, Yuang & Iqbal, Kashif & Zhang, Shufen & Tang, Bingtao, 2019. "Novel strategies and supporting materials applied to shape-stabilize organic phase change materials for thermal energy storage–A review," Applied Energy, Elsevier, vol. 235(C), pages 846-873.
    7. Mishra, Amit Kumar & Lahiri, B.B. & Philip, John, 2020. "Carbon black nano particle loaded lauric acid-based form-stable phase change material with enhanced thermal conductivity and photo-thermal conversion for thermal energy storage," Energy, Elsevier, vol. 191(C).
    8. Tao, Jialu & Luan, Jingde & Liu, Yue & Qu, Daoyu & Yan, Zheng & Ke, Xin, 2022. "Technology development and application prospects of organic-based phase change materials: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    9. Gu, Xiaobin & Liu, Peng & Bian, Liang & He, Huichao, 2019. "Enhanced thermal conductivity of palmitic acid/mullite phase change composite with graphite powder for thermal energy storage," Renewable Energy, Elsevier, vol. 138(C), pages 833-841.
    10. Sarı, Ahmet & Al-Ahmed, Amir & Bicer, Alper & Al-Sulaiman, Fahad A. & Hekimoğlu, Gökhan, 2019. "Investigation of thermal properties and enhanced energy storage/release performance of silica fume/myristic acid composite doped with carbon nanotubes," Renewable Energy, Elsevier, vol. 140(C), pages 779-788.
    11. Lv, Peizhao & Liu, Chenzhen & Rao, Zhonghao, 2017. "Review on clay mineral-based form-stable phase change materials: Preparation, characterization and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 707-726.
    12. Zuo, Xiaochao & Li, Jianwen & Zhao, Xiaoguang & Yang, Huaming & Chen, Deliang, 2020. "Emerging paraffin/carbon-coated nanoscroll composite phase change material for thermal energy storage," Renewable Energy, Elsevier, vol. 152(C), pages 579-589.

  10. Li, Qi & Hu, Guiping, 2014. "Supply chain design under uncertainty for advanced biofuel production based on bio-oil gasification," Energy, Elsevier, vol. 74(C), pages 576-584.

    Cited by:

    1. Zheng, Ji-Lu & Zhu, Ya-Hong & Su, Hong-Yu & Sun, Guo-Tao & Kang, Fu-Ren & Zhu, Ming-Qiang, 2022. "Life cycle assessment and techno-economic analysis of fuel ethanol production via bio-oil fermentation based on a centralized-distribution model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Fattahi, Mohammad & Govindan, Kannan, 2018. "A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 534-567.
    3. Alizadeh, Reza & Lund, Peter D. & Soltanisehat, Leili, 2020. "Outlook on biofuels in future studies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    5. Zheng, Ji-Lu & Zhu, Ya-Hong & Zhu, Ming-Qiang & Wu, Hai-Tang & Sun, Run-Cang, 2018. "Bio-oil gasification using air - Steam as gasifying agents in an entrained flow gasifier," Energy, Elsevier, vol. 142(C), pages 426-435.
    6. Fu, D.Z. & Zheng, Z.Y. & Shi, H.B. & Xiao, Rui & Huang, G.H. & Li, Y.P., 2017. "A multi-fuel management model for a community-level district heating system under multiple uncertainties," Energy, Elsevier, vol. 128(C), pages 337-356.
    7. Yılmaz Balaman, Şebnem & Wright, Daniel G. & Scott, James & Matopoulos, Aristides, 2018. "Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy," Energy, Elsevier, vol. 143(C), pages 911-933.
    8. Zheng, Ji-Lu & Zhu, Ya-Hong & Dong, Yan-Yan & Chen, Yue & Zhu, Ming-Qiang, 2023. "Techno-economic analysis and life cycle assessment of industrial production of ammonia via bio-oil conversion," Energy, Elsevier, vol. 280(C).
    9. Li, Yuanzhe, 2019. "Modeling Bioenergy Supply Chains: Feedstocks Pretreatment, Integrated System Design Under Uncertainty," Institute of Transportation Studies, Working Paper Series qt1539g5sj, Institute of Transportation Studies, UC Davis.
    10. Debnath, Biswajit & El-Hassani, Rihab & Chattopadhyay, Amit K. & Kumar, T. Krishna & Ghosh, Sadhan K. & Baidya, Rahul, 2022. "Time evolution of a Supply Chain Network: Kinetic modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    11. Zheng, Ji-Lu & Zhu, Ya-Hong & Dong, Yan-Yan & Zhu, Ming-Qiang, 2023. "Life cycle water consumption of bio-oil fermentation for bio-ethanol production based on a distributed-centralized model," Energy, Elsevier, vol. 264(C).

  11. Bai, ChongEn & Li, Qi & Ouyang, Min, 2014. "Property taxes and home prices: A tale of two cities," Journal of Econometrics, Elsevier, vol. 180(1), pages 1-15.

    Cited by:

    1. Wang, Jun & Qin, Yanjun & Zhou, Jingyang, 2021. "Incentive policies for prefabrication implementation of real estate enterprises: An evolutionary game theory-based analysis," Energy Policy, Elsevier, vol. 156(C).
    2. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    3. Carvalho, Carlos & Masini, Ricardo & Medeiros, Marcelo C., 2018. "ArCo: An artificial counterfactual approach for high-dimensional panel time-series data," Journal of Econometrics, Elsevier, vol. 207(2), pages 352-380.
    4. Kailin Kroetz & James N. Sanchirico & Daniel K. Lew, 2015. "Efficiency Costs of Social Objectives in Tradable Permit Programs," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(3), pages 339-366.
    5. Isaiah Hull & Anna Grodecka-Messi, 2022. "Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach," Papers 2203.14751, arXiv.org.
    6. Grodecka, Anna & Hull, Isaiah, 2019. "The Impact of Local Taxes and Public Services on Property Values," Working Paper Series 374, Sveriges Riksbank (Central Bank of Sweden).
    7. Cao, Jing & Hu, Wenhao, 2016. "A microsimulation of property tax policy in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 128-142.
    8. Shangfa Hou & Jiaying Wang & Degui Zhu, 2022. "Has the Newly Imposed Property Tax Controlled Housing Prices? An Analysis of China’s 2009–2020 Interprovincial Panel Data," Sustainability, MDPI, vol. 14(22), pages 1-18, November.
    9. Li, Hongjun & Li, Qi & Shi, Yutang, 2017. "Determining the number of factors when the number of factors can increase with sample size," Journal of Econometrics, Elsevier, vol. 197(1), pages 76-86.
    10. Hongjun Li & Zheng Li & Cheng Hsiao, 2023. "Assessing the impacts of pandemic and the increase in minimum down payment rate on Shanghai housing prices," Empirical Economics, Springer, vol. 64(6), pages 2661-2682, June.
    11. Lozano Navarro, Francisco-Javier & Idrovo Aguirre, Byron, 2023. "Shocks regulatorios al mercado inmobiliario de Chile: ¿Cuánto del IVA a la vivienda se transfiere a precio de venta? [Regulatory shocks to housing market: How much of the Chilean VAT on housing sal," MPRA Paper 120017, University Library of Munich, Germany.
    12. Ge Gao & Jichang Dong & Xiuting Li, 2022. "Local Government Debt, Real Estate Investment and Corporate Investment: Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    13. Muhammad Adil Rauf & Olaf Weber, 2022. "Housing Sustainability: The Effects of Speculation and Property Taxes on House Prices within and beyond the Jurisdiction," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    14. Su, Liangjun & Ju, Gaosheng, 2018. "Identifying latent grouped patterns in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 554-573.
    15. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    16. Tan, Jing & Xu, Hao & Yu, Jingwen, 2022. "The effect of homeownership on migrant household savings: Evidence from the removal of home purchase restrictions in China," Economic Modelling, Elsevier, vol. 106(C).
    17. Gao, Yichen & Long, Wei & Wang, Zhengwei, 2015. "Estimating average treatment effect by model averaging," Economics Letters, Elsevier, vol. 135(C), pages 42-45.
    18. Yuri Camara Batista & Ciro Biderman, 2016. "Property Tax Capitalization In Real Estate Values: Evidences From São Paulo," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 063, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    19. Xiandeng Jiang & Le Chang & Yanlin Shi, 2023. "Housing price diffusions in mainland China: evidence from a spatially penalized graphical VAR model," Empirical Economics, Springer, vol. 64(2), pages 765-795, February.
    20. Du Zaichao & Yin Hua & Zhang Lin, 2013. "The macroeconomic effects of the 35-h workweek regulation in France," The B.E. Journal of Macroeconomics, De Gruyter, vol. 13(1), pages 1-21, June.
    21. Hiroshi Fujiki & Cheng Hsiao, 2013. "Disentangling the Effects of Multiple Treatments - Measuring the Net Economic Impact of the 1995 Great Hanshin-Awaji Earthquake," IMES Discussion Paper Series 13-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
    22. Funke, Michael & Leiva-Leon, Danilo & Tsang, Andrew, 2017. "Mapping China's time-varying house price landscape," BOFIT Discussion Papers 21/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    23. Wang, Shaoping & Cui, Guowei & Li, Kunpeng, 2015. "Factor-augmented regression models with structural change," Economics Letters, Elsevier, vol. 130(C), pages 124-127.
    24. Feng, Qu & Wu, Guiying Laura, 2015. "Bubble or riddle? An asset-pricing approach evaluation on China's housing market," Economic Modelling, Elsevier, vol. 46(C), pages 376-383.
    25. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    26. Kenneth N. Kuttner & Ilhyock Shim, 2013. "Can Non-Interest Rate Policies Stabilize Housing Markets? Evidence from a Panel of 57 Economies," NBER Working Papers 19723, National Bureau of Economic Research, Inc.
    27. Hui An & Qianmiao Zou & Ying Zhang & Rakesh Gupta, 2019. "Property Prices: How Effective is a Property-Purchasing Limitation Policy for Managing Affordability?," International Real Estate Review, Global Social Science Institute, vol. 22(2), pages 197-229.
    28. Tommaso Oliviero & Agnese Sacchi & Annalisa Scognamiglio & Alberto Zazzaro, 2016. "House Prices and Immovable Property Taxes: Evidence from OECD Countries," CSEF Working Papers 444, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 06 Oct 2016.
    29. Harvey, A. & Thiele, S., 2017. "Co-integration and control: assessing the impact of events using time series data," Cambridge Working Papers in Economics 1731, Faculty of Economics, University of Cambridge.
    30. Chen, Yunping & Chen, Huanhuan & Li, Guorong & Jiao, Dongdan & Xu, Xiangyun, 2021. "Time-varying effect of macro-prudential policies on household credit growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 241-254.
    31. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    32. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    33. Shao, Xiaokuai & White, Alexander, 2021. "Outsiders, insiders and interventions in the housing market," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 110-134.
    34. Carvalho, Carlos Viana de & Masini, Ricardo Pereira & Medeiros, Marcelo C., 2017. "The perils of counterfactual analysis with integrated processes," Textos para discussão 455, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    35. Yuefeng Han & Rong Chen & Cun-Hui Zhang, 2020. "Rank Determination in Tensor Factor Model," Papers 2011.07131, arXiv.org, revised May 2022.
    36. Qi Li & Wei Long, 2018. "Do parole abolition and Truth-in-Sentencing deter violent crimes in Virginia?," Empirical Economics, Springer, vol. 55(4), pages 2027-2045, December.
    37. Liberati, Danilo & Loberto, Michele, 2019. "Taxation and housing markets with search frictions," Journal of Housing Economics, Elsevier, vol. 46(C).
    38. Ouyang, Min & Peng, Yulei, 2015. "The treatment-effect estimation: A case study of the 2008 economic stimulus package of China," Journal of Econometrics, Elsevier, vol. 188(2), pages 545-557.
    39. Zhang, Muyang & Chen, Jie, 2018. "Unequal school enrollment rights, rent yields gap, and increased inequality: The case of Shanghai," China Economic Review, Elsevier, vol. 49(C), pages 229-240.
    40. Zhentao Shi & Jingyi Huang, 2019. "Forward-Selected Panel Data Approach for Program Evaluation," Papers 1908.05894, arXiv.org, revised Apr 2021.
    41. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
    42. Lenhle Dlamini & Harold Ngalawa, 2022. "Macroprudential policy and house prices in an estimated Dynamic Stochastic General Equilibrium model for South Africa," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 304-336, June.
    43. Xiao Ke & Cheng Hsiao, 2022. "Economic impact of the most drastic lockdown during COVID‐19 pandemic—The experience of Hubei, China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 187-209, January.
    44. Sayoni Roychowdhury & Indrila Ganguly & Abhik Ghosh, 2021. "Robust Estimation of Average Treatment Effects from Panel Data," Papers 2112.13228, arXiv.org, revised Dec 2022.
    45. Deng, Qiu Shi & Alvarado, Rafael & Cheng, Fang Nan & Cuesta, Lizeth & Wang, Chun Bao & Pinzón, Stefania, 2023. "Long-run mechanism for house price regulation in China: Real estate tax, monetary policy or macro-prudential policy?," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 174-186.
    46. Du, Zaichao & Yin, Hua & Zhang, Lin, 2022. "Foreign buyer taxes and house prices in Canada: A tale of two cities," Journal of Housing Economics, Elsevier, vol. 55(C).
    47. Funke, Michael & Tsang, Andrew & Zhu, Linxu, 2018. "Not all cities are alike: House price heterogeneity and the design of macro-prudential policies in China," BOFIT Discussion Papers 18/2018, Bank of Finland Institute for Emerging Economies (BOFIT).
    48. Tommaso Oliviero & Annalisa Scognamiglio, 2016. "Property Tax and Property Values: Evidence from the 2012 Italian Tax Reform," CSEF Working Papers 439, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 12 Mar 2018.
    49. Bian, Timothy Yang & Gete, Pedro, 2015. "What drives housing dynamics in China? A sign restrictions VAR approach," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 96-112.
    50. Li, Kathleen T. & Bell, David R., 2017. "Estimation of average treatment effects with panel data: Asymptotic theory and implementation," Journal of Econometrics, Elsevier, vol. 197(1), pages 65-75.
    51. Gao, Yichen & Li, Hongjun & Li, Qi, 2022. "The misalignments in Chinese real effective exchange rate from 1994 to 2020: A counterfactual analysis," China Economic Review, Elsevier, vol. 75(C).
    52. Anderson, Heather M. & Gao, Jiti & Turnip, Guido & Vahid, Farshid & Wei, Wei, 2023. "Estimating the effect of an EU-ETS type scheme in Australia using a synthetic treatment approach," Energy Economics, Elsevier, vol. 125(C).
    53. Kai Wu & Yi Liu & Weiyang Feng, 2022. "The Effect of Index Option Trading on Stock Market Volatility in China: An Empirical Investigation," JRFM, MDPI, vol. 15(4), pages 1-19, March.
    54. Zhu, Guozhong & Dale-Johnson, David, 2020. "Transition to the property tax in China: A dynamic general equilibrium analysis," Journal of Urban Economics, Elsevier, vol. 115(C).
    55. Li, Xiao & Qiao, Yuanbo & Shi, Lei, 2019. "Has China's war on pollution slowed the growth of its manufacturing and by how much? Evidence from the Clean Air Action," China Economic Review, Elsevier, vol. 53(C), pages 271-289.
    56. Chengrui Xiao & Bo Zhou, 2023. "Property taxes and rental housing: Evidence from China," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(4), pages 931-958, July.
    57. Rita Yi Man Li & Herru Ching Yu Li, 2018. "Have Housing Prices Gone with the Smelly Wind? Big Data Analysis on Landfill in Hong Kong," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    58. Guo, Shen & Jiang, Zheng, 2021. "The welfare implications of housing-related tax policies in China," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 135-153.
    59. Du, Zaichao & Pei, Pei, 2021. "A simple and robust counterfactual impact evaluation," Economics Letters, Elsevier, vol. 207(C).

  12. Li, Qi & Wei, Ya-Ni & Liu, Guizhen & Lin, Qing, 2014. "Combination of CO2 geological storage with deep saline water recovery in western China: Insights from numerical analyses," Applied Energy, Elsevier, vol. 116(C), pages 101-110.

    Cited by:

    1. Gregory Tarteh Mwenketishi & Hadj Benkreira & Nejat Rahmanian, 2023. "A Comprehensive Review on Carbon Dioxide Sequestration Methods," Energies, MDPI, vol. 16(24), pages 1-42, December.
    2. De Silva, G.P.D. & Ranjith, P.G. & Perera, M.S.A. & Chen, B., 2016. "Effect of bedding planes, their orientation and clay depositions on effective re-injection of produced brine into clay rich deep sandstone formations: Implications for deep earth energy extraction," Applied Energy, Elsevier, vol. 161(C), pages 24-40.
    3. Bing Bai & Xiaochun Li & Haiqing Wu & Yongsheng Wang & Mingze Liu, 2017. "A methodology for designing maximum allowable wellhead pressure for CO 2 injection: application to the Shenhua CCS demonstration project, China," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(1), pages 158-181, February.
    4. Zhang, Lisong & Zhang, Shiyan & Jiang, Weizhai & Wang, Zhiyuan & Li, Jing & Bian, Yinghui, 2018. "A mechanism of fluid exchange associated to CO2 leakage along activated fault during geologic storage," Energy, Elsevier, vol. 165(PB), pages 1178-1190.
    5. Zhang, Kaiqiang & Jia, Na & Liu, Lirong, 2019. "CO2 storage in fractured nanopores underground: Phase behaviour study," Applied Energy, Elsevier, vol. 238(C), pages 911-928.
    6. Zhihua Zhang, 2015. "Techno-Economic Assessment of Carbon Capture and Storage Facilities Coupled to Coal-Fired Power Plants," Energy & Environment, , vol. 26(6-7), pages 1069-1080, November.
    7. Ma, Jianli & Li, Qi & Kühn, Michael & Nakaten, Natalie, 2018. "Power-to-gas based subsurface energy storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 478-496.
    8. Li, Yi & Yu, Hao & Li, Yi & Liu, Yaning & Zhang, Guijin & Tang, Dong & Jiang, Zhongming, 2020. "Numerical study on the hydrodynamic and thermodynamic properties of compressed carbon dioxide energy storage in aquifers," Renewable Energy, Elsevier, vol. 151(C), pages 1318-1338.
    9. Wang, Heng & Kou, Zuhao & Ji, Zemin & Wang, Shouchuan & Li, Yunfei & Jiao, Zunsheng & Johnson, Matthew & McLaughlin, J. Fred, 2023. "Investigation of enhanced CO2 storage in deep saline aquifers by WAG and brine extraction in the Minnelusa sandstone, Wyoming," Energy, Elsevier, vol. 265(C).
    10. Chen, Zheng-Ao & Li, Qi & Liu, Lan-Cui & Zhang, Xian & Kuang, Liping & Jia, Li & Liu, Guizhen, 2015. "A large national survey of public perceptions of CCS technology in China," Applied Energy, Elsevier, vol. 158(C), pages 366-377.

  13. Q. Li & L. Bao & Q. L. Zhang, 2014. "Multi-scale tracking dynamics and optimal index replication," Applied Economics Letters, Taylor & Francis Journals, vol. 21(4), pages 252-256, March.

    Cited by:

    1. Julio Cezar Soares Silva & Adiel Teixeira de Almeida Filho, 2023. "A systematic literature review on solution approaches for the index tracking problem in the last decade," Papers 2306.01660, arXiv.org, revised Jun 2023.

  14. Jiongming Su & Baohong Liu & Qi Li & Hongxu Ma, 2014. "Coevolution of Opinions and Directed Adaptive Networks in a Social Group," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(2), pages 1-4.

    Cited by:

    1. Xi Chen & Shen Zhao & Wei Li, 2019. "Opinion Dynamics Model Based on Cognitive Styles: Field-Dependence and Field-Independence," Complexity, Hindawi, vol. 2019, pages 1-12, February.

  15. Lin, Zhongjian & Li, Qi & Sun, Yiguo, 2014. "A consistent nonparametric test of parametric regression functional form in fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 167-179.

    Cited by:

    1. Lee, Jungyoon & Robinson, Peter, 2015. "Panel nonparametric regression with fixed effects," LSE Research Online Documents on Economics 61431, London School of Economics and Political Science, LSE Library.
    2. Myrto Kasioumi & Thanasis Stengos, 2020. "The Environmental Kuznets Curve with Recycling: A Partially Linear Semiparametric Approach," JRFM, MDPI, vol. 13(11), pages 1-26, November.
    3. Liangjun Su & Sainan Jin & Yonghui Zhang, 2014. "Specification Test for Panel Data Models with Interactive Fixed Effects," Working Papers 08-2014, Singapore Management University, School of Economics.
    4. Jun Wang & Dianpeng Wang & Yubin Tian, 2022. "Multidimensional specification test based on non-stationary time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 348-372, June.
    5. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    6. Zongwu Cai & Ying Fang & Qiuhua Xu, 2020. "Testing Capital Asset Pricing Models using Functional-Coefficient Panel Data Models with Cross-Sectional Dependence," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202009, University of Kansas, Department of Economics, revised Jul 2020.
    7. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    8. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    9. Michael Lechner & Gabriel Okasa, 2019. "Random Forest Estimation of the Ordered Choice Model," Papers 1907.02436, arXiv.org, revised Sep 2022.
    10. Cai, Zongwu & Fang, Ying & Xu, Qiuhua, 2022. "Testing capital asset pricing models using functional-coefficient panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, vol. 227(1), pages 114-133.
    11. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    12. Xu Guo & Tao Wang & Lixing Zhu, 2016. "Model checking for parametric single-index models: a dimension reduction model-adaptive approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 1013-1035, November.
    13. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    14. Ivan Korolev, 2019. "A Consistent LM Type Specification Test for Semiparametric Panel Data Models," Papers 1909.05649, arXiv.org.
    15. Guo, Xu & Li, Gao Rong & Wong, Wing Keung, 2014. "Specification Testing of Production Frontier Function in Stochastic Frontier Model," MPRA Paper 57999, University Library of Munich, Germany.
    16. Youmi Suk & Hyunseung Kang, 2022. "Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 310-343, March.
    17. Hua Liu & Youquan Pei & Qunfang Xu, 2020. "Estimation for varying coefficient panel data model with cross-sectional dependence," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(3), pages 377-410, April.
    18. Lee, Jungyoon & Robinson, Peter M., 2015. "Panel nonparametric regression with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 346-362.
    19. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.
    20. Halder, Shaymal C. & Malikov, Emir, 2020. "Smoothed LSDV estimation of functional-coefficient panel data models with two-way fixed effects," Economics Letters, Elsevier, vol. 192(C).

  16. Qi Li & Wenbin Fei & Xuehao Liu & Xiaochen Wei & Miao Jing & Xiaochun Li, 2014. "Challenging combination of CO 2 geological storage and coal mining in the Ordos basin, China," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 4(4), pages 452-467, August.

    Cited by:

    1. Xin, Yue & Zhang, Yindi & Xue, Peng & Wang, Ke & Adu, Emmanuel & Tontiwachwuthikul, Paitoon, 2021. "The optimization and thermodynamic and economic estimation analysis for CO2 compression-liquefaction process of CCUS system using LNG cold energy," Energy, Elsevier, vol. 236(C).
    2. Fugang Wang & Jing Jing & Tianfu Xu & Yanlin Yang & Guangrong Jin, 2016. "Impacts of stratum dip angle on CO 2 geological storage amount and security," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(5), pages 682-694, October.
    3. Mingze Liu & Bing Bai & Xiaochun Li & Shuai Gao & Shaobin Hu & Lei Wang & Haiqing Wu, 2016. "Assessing the applicability of unsaturated effective stress models to tensile fracturing of sandstone in CO 2 ‐water two‐phase fluids," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(5), pages 670-681, October.

  17. Qi Li & Juan Lin & Jeffrey S. Racine, 2013. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 57-65, January.
    See citations under working paper version above.
  18. Ying Fang & Li Qi & Zhongjian Lin, 2013. "China's Internal Borders," Chinese Economy, Taylor & Francis Journals, vol. 46(3), pages 41-60, May.

    Cited by:

    1. Emanuele Schimmenti & Antonino Galati & Valeria Borsellino, 2014. "The quality of websites and their impact on economic performance: the case of nurseries and gardening companies in the Italian 'Mezzogiorno' regions," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 6(1), pages 72-87.

  19. Penelope B. Prime & Li Qi, 2013. "Determinants of Firm Leverage," Chinese Economy, Taylor & Francis Journals, vol. 46(2), pages 74-106, March.

    Cited by:

    1. Herry Achmad Buchory, 2020. "Anomalies of Banking Intermediation and Profit Growth (Study on the 10 Largest Banks in Indonesia)," GATR Journals jfbr168, Global Academy of Training and Research (GATR) Enterprise.
    2. Fabozzi, Frank J. & Klingler, Sven & Mølgaard, Pia & Nielsen, Mads Stenbo, 2021. "Active loan trading," Journal of Financial Intermediation, Elsevier, vol. 46(C).

  20. QI Li & Desheng Ouyang & Jeffrey S. Racine, 2013. "Categorical semiparametric varying‐coefficient models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 551-579, June.

    Cited by:

    1. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    2. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    3. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    4. Nicholas M. Kiefer & Jeffrey S. Racine, 2013. "The Smooth Colonel and the Reverend Find Common Ground," Department of Economics Working Papers 2013-03, McMaster University.
    5. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. Guohua Feng & Keith R. McLaren & Ou Yang & Xiaohui Zhang & Xueyan Zhao, 2019. "The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries," Melbourne Institute Working Paper Series wp2019n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    7. Shujie Ma & Jeffrey S. Racine, 2012. "Additive Regression Splines With Irrelevant Categorical and Continuous Regressors," Department of Economics Working Papers 2012-07, McMaster University.
    8. Arteaga-Molina, Luis A. & Rodríguez-Poo, Juan M., 2019. "Empirical likelihood based inference for a categorical varying-coefficient panel data model with fixed effects," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 110-124.
    9. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    10. S. Centorrino & J. S. Racine, 2016. "Semiparametric Varying Coefficient Models with Endogenous Covariates," Department of Economics Working Papers 2016-02, McMaster University.
    11. Amin W. Mugera & Michael R. Langemeier & Andrew Ojede, 2016. "Contributions of Productivity and Relative Price Changes to Farm-level Profitability Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 1210-1229.
    12. Offermanns, Christian J., 2014. "On the degree of homogeneity in dynamic heterogeneous panel data models," Discussion Papers 2014/25, Free University Berlin, School of Business & Economics.
    13. Jun Zhang & Nanguang Zhou & Zipeng Sun & Gaorong Li & Zhenghong Wei, 2016. "Statistical inference on restricted partial linear regression models with partial distortion measurement errors," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(4), pages 304-331, November.
    14. Jeffrey S. Racine, 2016. "A Correction to "Generalized Nonparametric Smoothing with Mixed Discrete and Continuous Data" by Li, Simar & Zelenyuk (2014, CSDA)," Department of Economics Working Papers 2016-01, McMaster University.
    15. Jiti Gao & Bin Peng & Zhao Ren & Xiaohui Zhang, 2015. "Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index," Monash Econometrics and Business Statistics Working Papers 21/15, Monash University, Department of Econometrics and Business Statistics.

  21. Liang, Zhongwen & Li, Qi, 2012. "Functional coefficient regression models with time trend," Journal of Econometrics, Elsevier, vol. 170(1), pages 15-31.

    Cited by:

    1. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    2. Xu, Ke-Li, 2016. "Multivariate trend function testing with mixed stationary and integrated disturbances," Journal of Multivariate Analysis, Elsevier, vol. 147(C), pages 38-57.

  22. Ackert, Lucy F. & Kluger, Brian D. & Qi, Li, 2012. "Irrationality and beliefs in a laboratory asset market: Is it me or is it you?," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 278-291.

    Cited by:

    1. Cueva, Carlos & Rustichini, Aldo, 2015. "Is financial instability male-driven? Gender and cognitive skills in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 330-344.
    2. Chmura, Thorsten & Le, Hang & Nguyen, Kim, 2022. "Herding with leading traders: Evidence from a laboratory social trading platform," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 93-106.
    3. Stefan Palan, 2014. "A Software for Asset Market Experiments," Working Paper Series, Social and Economic Sciences 2014-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    4. Stefan Palan, 2013. "A Review of Research into Smith, Suchanek and Williams Markets," Working Paper Series, Social and Economic Sciences 2013-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.

  23. Sha, Long & Liu, Hui & Xu, Lianfei & Cao, Qingxi & Li, Qi & Wu, Shaohua, 2012. "Research on the elliptic aerodynamic field in a 1000 MW dual circle tangential firing single furnace ultra supercritical boiler," Energy, Elsevier, vol. 46(1), pages 364-373.

    Cited by:

    1. Badur, Janusz & Ziółkowski, Paweł & Sławiński, Daniel & Kornet, Sebastian, 2015. "An approach for estimation of water wall degradation within pulverized-coal boilers," Energy, Elsevier, vol. 92(P1), pages 142-152.
    2. Li, Zixiang & Qiao, Xinqi & Miao, Zhengqing, 2021. "Low load performance of tangentially-fired boiler with annularly combined multiple airflows," Energy, Elsevier, vol. 224(C).
    3. Yang, D.L. & Tang, G.H. & Fan, Y.H. & Li, X.L. & Wang, S.Q., 2020. "Arrangement and three-dimensional analysis of cooling wall in 1000 MW S–CO2 coal-fired boiler," Energy, Elsevier, vol. 197(C).
    4. Wu, Xiaofeng & Fan, Weidong & Liu, Yacheng & Bian, Bao, 2019. "Numerical simulation research on the unique thermal deviation in a 1000 MW tower type boiler," Energy, Elsevier, vol. 173(C), pages 1006-1020.
    5. Zhao, Zhigang & Su, Sheng & Si, Ningning & Hu, Song & Wang, Yi & Xu, Jun & Jiang, Long & Chen, Gang & Xiang, Jun, 2017. "Exergy analysis of the turbine system in a 1000 MW double reheat ultra-supercritical power plant," Energy, Elsevier, vol. 119(C), pages 540-548.

  24. Li, Qi & Flamant, Gilles & Yuan, Xigang & Neveu, Pierre & Luo, Lingai, 2011. "Compact heat exchangers: A review and future applications for a new generation of high temperature solar receivers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4855-4875.

    Cited by:

    1. Jafari, Davoud & Wits, Wessel W., 2018. "The utilization of selective laser melting technology on heat transfer devices for thermal energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 420-442.
    2. Wang, Meihong & Joel, Atuman S. & Ramshaw, Colin & Eimer, Dag & Musa, Nuhu M., 2015. "Process intensification for post-combustion CO2 capture with chemical absorption: A critical review," Applied Energy, Elsevier, vol. 158(C), pages 275-291.
    3. Wang, Zhe & Li, Yanzhong, 2016. "Layer pattern thermal design and optimization for multistream plate-fin heat exchangers—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 500-514.
    4. Fu, Qianmei & Ding, Jing & Lao, Jiewei & Wang, Weilong & Lu, Jianfeng, 2019. "Thermal-hydraulic performance of printed circuit heat exchanger with supercritical carbon dioxide airfoil fin passage and molten salt straight passage," Applied Energy, Elsevier, vol. 247(C), pages 594-604.
    5. Muñoz, Marta & Rovira, Antonio & Sánchez, Consuelo & Montes, María José, 2017. "Off-design analysis of a Hybrid Rankine-Brayton cycle used as the power block of a solar thermal power plant," Energy, Elsevier, vol. 134(C), pages 369-381.
    6. Singh, Sanjay Kumar & Mishra, Manish & Jha, P.K., 2014. "Nonuniformities in compact heat exchangers—scope for better energy utilization: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 583-596.
    7. Osorio, Julian D. & Hovsapian, Rob & Ordonez, Juan C., 2016. "Effect of multi-tank thermal energy storage, recuperator effectiveness, and solar receiver conductance on the performance of a concentrated solar supercritical CO2-based power plant operating under di," Energy, Elsevier, vol. 115(P1), pages 353-368.
    8. Li, Qiyuan & Shirazi, Ali & Zheng, Cheng & Rosengarten, Gary & Scott, Jason A. & Taylor, Robert A., 2016. "Energy concentration limits in solar thermal heating applications," Energy, Elsevier, vol. 96(C), pages 253-267.
    9. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    10. Cui, Xinying & Guo, Jiangfeng & Huai, Xiulan & Zhang, Haiyan & Cheng, Keyong & Zhou, Jingzhi, 2019. "Numerical investigations on serpentine channel for supercritical CO2 recuperator," Energy, Elsevier, vol. 172(C), pages 517-530.
    11. Moudakkar, Touria & El Hallaoui, Z. & Vaudreuil, S. & Bounahmidi, T., 2019. "Modeling and performance analysis of a PTC for industrial phosphate flash drying," Energy, Elsevier, vol. 166(C), pages 1134-1148.
    12. Koide, Hiroaki & Kurniawan, Ade & Takahashi, Tatsuya & Kawaguchi, Takahiro & Sakai, Hiroki & Sato, Yusuke & Chiu, Justin NW. & Nomura, Takahiro, 2022. "Performance analysis of packed bed latent heat storage system for high-temperature thermal energy storage using pellets composed of micro-encapsulated phase change material," Energy, Elsevier, vol. 238(PC).
    13. Wei, Min & Fan, Yilin & Luo, Lingai & Flamant, Gilles, 2015. "Fluid flow distribution optimization for minimizing the peak temperature of a tubular solar receiver," Energy, Elsevier, vol. 91(C), pages 663-677.
    14. Wegener, Moritz & Malmquist, Anders & Isalgué, Antonio & Martin, Andrew, 2018. "Biomass-fired combined cooling, heating and power for small scale applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 392-410.
    15. Haneklaus, Nils & Schröders, Sarah & Zheng, Yanhua & Allelein, Hans-Josef, 2017. "Economic evaluation of flameless phosphate rock calcination with concentrated solar power and high temperature reactors," Energy, Elsevier, vol. 140(P1), pages 1148-1157.
    16. Krzysztof Dutkowski & Marcin Kruzel & Jacek Fiuk & Krzysztof Rokosz & Iwona Michalska-Pożoga & Marcin Szczepanek, 2023. "Experimental Studies on the Influence of Spatial Orientation of a Passive Air Solar Collector on Its Efficiency," Energies, MDPI, vol. 16(10), pages 1-13, May.
    17. Hannes Fugmann & Eric Laurenz & Lena Schnabel, 2019. "Multi-Dimensional Performance Evaluation of Heat Exchanger Surface Enhancements," Energies, MDPI, vol. 12(7), pages 1-22, April.
    18. Ma, Yuan & Xie, Gongnan & Hooman, Kamel, 2022. "Review of printed circuit heat exchangers and its applications in solar thermal energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    19. Liang, Ting & Vecchi, Andrea & Knobloch, Kai & Sciacovelli, Adriano & Engelbrecht, Kurt & Li, Yongliang & Ding, Yulong, 2022. "Key components for Carnot Battery: Technology review, technical barriers and selection criteria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    20. Olumayegun, Olumide & Wang, Meihong & Kelsall, Greg, 2017. "Thermodynamic analysis and preliminary design of closed Brayton cycle using nitrogen as working fluid and coupled to small modular Sodium-cooled fast reactor (SM-SFR)," Applied Energy, Elsevier, vol. 191(C), pages 436-453.
    21. Benoit, H. & Spreafico, L. & Gauthier, D. & Flamant, G., 2016. "Review of heat transfer fluids in tube-receivers used in concentrating solar thermal systems: Properties and heat transfer coefficients," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 298-315.
    22. Roldán, M.I. & Fernández-Reche, J. & Ballestrín, J., 2016. "Computational fluid dynamics evaluation of the operating conditions for a volumetric receiver installed in a solar tower," Energy, Elsevier, vol. 94(C), pages 844-856.
    23. Pandey, V. & Kumar, P. & Dutta, P., 2020. "Thermo-hydraulic analysis of compact heat exchanger for a simple recuperated sCO2 Brayton cycle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    24. Sylwia Hożejowska & Magdalena Piasecka, 2020. "Numerical Solution of Axisymmetric Inverse Heat Conduction Problem by the Trefftz Method," Energies, MDPI, vol. 13(3), pages 1-14, February.
    25. Liu, Guangxu & Huang, Yanping & Wang, Junfeng & Liu, Ruilong, 2020. "A review on the thermal-hydraulic performance and optimization of printed circuit heat exchangers for supercritical CO2 in advanced nuclear power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    26. Saghafifar, Mohammad & Gadalla, Mohamed, 2015. "Innovative inlet air cooling technology for gas turbine power plants using integrated solid desiccant and Maisotsenko cooler," Energy, Elsevier, vol. 87(C), pages 663-677.
    27. Jiang, Dianqiang & Zhang, Dalin & Li, Xinyu & Wang, Shibao & Wang, Chenglong & Qin, Hao & Guo, Yanwen & Tian, Wenxi & Su, G.H. & Qiu, Suizheng, 2022. "Fluoride-salt-cooled high-temperature reactors: Review of historical milestones, research status, challenges, and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    28. Jiang, Yuan & Liese, Eric & Zitney, Stephen E. & Bhattacharyya, Debangsu, 2018. "Design and dynamic modeling of printed circuit heat exchangers for supercritical carbon dioxide Brayton power cycles," Applied Energy, Elsevier, vol. 231(C), pages 1019-1032.

  25. Yu Zhang & Jingping Gu & Qi Li, 2011. "Nonparametric panel estimation of online auction price processes," Empirical Economics, Springer, vol. 40(1), pages 51-68, February.

    Cited by:

    1. Qiaolong Huang & Yu Yvette Zhang & Qin Chen & Manxiu Ning, 2021. "Does Air Pollution Decrease Labor Supply of the Rural Middle-Aged and Elderly?," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
    2. Dong Li & Luya Wang & Ximing Wu, 2021. "Bayesian estimation of bidding process and bidder’s preference under shape restrictions," Empirical Economics, Springer, vol. 60(1), pages 157-176, January.
    3. Simon Stevenson & James Young, 2015. "The Role of Undisclosed Reserves in English Open Outcry Auctions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 375-402, June.
    4. Zhang, Yu Yvette, 2017. "A shape constrained estimator of bidding function of first-price sealed-bid auctions," Economics Letters, Elsevier, vol. 150(C), pages 67-72.
    5. Wenchuan Liu & Yu Zhang & Qi Li, 2015. "A semiparametric varying coefficient model of monotone auction bidding processes," Empirical Economics, Springer, vol. 48(1), pages 313-335, February.

  26. Sun, Yiguo & Li, Qi, 2011. "Data-Driven Bandwidth Selection for Nonstationary Semiparametric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(4), pages 541-551.

    Cited by:

    1. Zhongwen Liang & Zhongjian Lin & Cheng Hsiao, 2015. "Local Linear Estimation of a Nonparametric Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 882-906, December.
    2. Hongjun Li & Zhongjian Lin & Cheng Hsiao, 2015. "Testing purchasing power parity hypothesis: a semiparametric varying coefficient approach," Empirical Economics, Springer, vol. 48(1), pages 427-438, February.
    3. Suzanna-Maria Paleologou, 2016. "The long-run tendency of government expenditure: a semi-parametric modelling approach," Empirical Economics, Springer, vol. 50(3), pages 753-776, May.
    4. Kunpeng Li & Degui Li & Zhongwen Lian & Cheng Hsiao, 2013. "Semiparametric Profile Likelihood Estimation of Varying Coefficient Models with Nonstationary Regressors," Monash Econometrics and Business Statistics Working Papers 2/13, Monash University, Department of Econometrics and Business Statistics.
    5. Gu, Jingping & Liang, Zhongwen, 2014. "Testing cointegration relationship in a semiparametric varying coefficient model," Journal of Econometrics, Elsevier, vol. 178(P1), pages 57-70.
    6. Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.
    7. Chen, Xirong & Huang, Ta-Cheng & Li, Qi, 2017. "An alternative bandwidth selection method for estimating functional coefficient models," Economics Letters, Elsevier, vol. 156(C), pages 27-31.
    8. Kunpeng Li & Degui Li & Zhongwen Liang & Cheng Hsiao, 2017. "Estimation of semi-varying coefficient models with nonstationary regressors," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 354-369, March.

  27. Sun, Yiguo & Hsiao, Cheng & Li, Qi, 2011. "Measuring correlations of integrated but not cointegrated variables: A semiparametric approach," Journal of Econometrics, Elsevier, vol. 164(2), pages 252-267, October.

    Cited by:

    1. Peter C.B. Phillips & Ying Wang, 2020. "When Bias Contributes to Variance: True Limit Theory in Functional Coefficient Cointegrating Regression," Cowles Foundation Discussion Papers 2250, Cowles Foundation for Research in Economics, Yale University.
    2. Gan, Li & Hsiao, Cheng & Xu, Shu, 2014. "Model specification test with correlated but not cointegrated variables," Journal of Econometrics, Elsevier, vol. 178(P1), pages 80-85.
    3. Gu, Jingping & Liang, Zhongwen, 2014. "Testing cointegration relationship in a semiparametric varying coefficient model," Journal of Econometrics, Elsevier, vol. 178(P1), pages 57-70.
    4. Robinson Kruse & Daniel Ventosa-Santaulària & Antonio E. Noriega, 2013. "Changes in persistence, spurious regressions and the Fisher hypothesis," CREATES Research Papers 2013-11, Department of Economics and Business Economics, Aarhus University.
    5. Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.

  28. Li, Dong & Li, Qi, 2010. "Nonparametric/semiparametric estimation and testing of econometric models with data dependent smoothing parameters," Journal of Econometrics, Elsevier, vol. 157(1), pages 179-190, July.

    Cited by:

    1. Racine, Jeffrey S. & Li, Kevin, 2017. "Nonparametric conditional quantile estimation: A locally weighted quantile kernel approach," Journal of Econometrics, Elsevier, vol. 201(1), pages 72-94.
    2. Rafael Weißbach & Wladislaw Poniatowski & Walter Krämer, 2013. "Nearest neighbor hazard estimation with left-truncated duration data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(1), pages 33-47, January.
    3. Jingping Gu & Qi Li & Jui-Chung Yang, 2015. "Multivariate Local Polynomial Kernel Estimators: Leading Bias and Asymptotic Distribution," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 979-1010, December.
    4. Liang, Zhongwen & Li, Qi, 2012. "Functional coefficient regression models with time trend," Journal of Econometrics, Elsevier, vol. 170(1), pages 15-31.
    5. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.
    6. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
    7. Juan Carlos Escanciano & Lin Zhu, 2015. "A Simple Data-Driven Estimator for the Semiparametric Sample Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 734-762, December.
    8. Li, Cong & Wang, Yanfei, 2016. "Gradient-based bandwidth selection for estimating average derivatives," Economics Letters, Elsevier, vol. 140(C), pages 19-22.
    9. Xu, Ke-Li, 2013. "Powerful tests for structural changes in volatility," Journal of Econometrics, Elsevier, vol. 173(1), pages 126-142.
    10. Berndt Jesenko & Christian Schlögl, 2021. "The effect of web of science subject categories on clustering: the case of data-driven methods in business and economic sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6785-6801, August.
    11. Qi Gao & Long Liu & Jeffrey S. Racine, 2015. "A Partially Linear Kernel Estimator for Categorical Data," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 959-978, December.
    12. Li, Xiaofeng & Shang, Ying & Su, Zhi, 2015. "Semiparametric estimation of default probability: Evidence from the Prosper online credit market," Economics Letters, Elsevier, vol. 127(C), pages 54-57.
    13. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.
    14. Chen, Xirong & Li, Degui & Li, Qi & Li, Zheng, 2019. "Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates," Journal of Econometrics, Elsevier, vol. 212(2), pages 433-450.
    15. Lin, Zhongjian & Li, Qi & Sun, Yiguo, 2014. "A consistent nonparametric test of parametric regression functional form in fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 167-179.

  29. Li, Qi & Racine, Jeffrey S., 2010. "Smooth Varying-Coefficient Estimation And Inference For Qualitative And Quantitative Data," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1607-1637, December.

    Cited by:

    1. Asaftei, Gabriel & Parmeter, Christopher F., 2010. "Market power, EU integration and privatization: The case of Romania," Journal of Comparative Economics, Elsevier, vol. 38(3), pages 340-356, September.
    2. Diego Restrepo-Tobón & Subal Kumbhakar & Kai Sun, 2015. "Obelix vs. Asterix: Size of US commercial banks and its regulatory challenge," Journal of Regulatory Economics, Springer, vol. 48(2), pages 125-168, October.
    3. Schmalz, Martin & Zhuk, Sergey, 2018. "Revealing Downturns," CEPR Discussion Papers 12597, C.E.P.R. Discussion Papers.
    4. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    5. Qiu, Guo & Xu, Wangtu (Ato) & Li, Ling, 2018. "Key factors to annual investment in public transportation sector: The case of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 1-19.
    6. Subal C. Kumbhakar & Kai Sun & Rui Zhang, 2016. "Semiparametric Smooth Coefficient Estimation of a Production System," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 464-482, October.
    7. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    8. Yan-Yong Zhao & Jin-Guan Lin & Hong-Xia Wang & Xing-Fang Huang, 2017. "Jump-detection-based estimation in time-varying coefficient models and empirical applications," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 26(3), pages 574-599, September.
    9. Michael Delgado, 2013. "A smooth coefficient model of carbon emissions," Empirical Economics, Springer, vol. 45(3), pages 1049-1071, December.
    10. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    11. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    12. Tracey, Marlon R. & Polachek, Solomon, 2018. "Heterogeneous Layoff Effects of the US Short-Time Compensation Program," IZA Discussion Papers 11746, Institute of Labor Economics (IZA).
    13. Sun, Kai & Kumbhakar, Subal C., 2013. "Semiparametric smooth-coefficient stochastic frontier model," Economics Letters, Elsevier, vol. 120(2), pages 305-309.
    14. Bhaumik, Sumon K. & Dimova, Ralitza & Kumbhakar, Subal C. & Sun, Kai, 2014. "More Is Better! What Can Firm-Specific Estimates of the Impact of Institutional Quality on Performance Tell Us?," IZA Discussion Papers 7886, Institute of Labor Economics (IZA).
    15. Thomas Triebs & Subal C. Kumbhakar, 2012. "Management Practice in Production," ifo Working Paper Series 129, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    16. Guohua Feng & Keith R. McLaren & Ou Yang & Xiaohui Zhang & Xueyan Zhao, 2019. "The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries," Melbourne Institute Working Paper Series wp2019n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    17. Fan Zhang & Joshua Hall & Feng Yao, 2017. "Does Economic Freedom Affect The Production Frontier? A Semiparametric Approach With Panel Data," Working Papers 17-27, Department of Economics, West Virginia University.
    18. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    19. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    20. Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023. "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1189-1199.
    21. Zhang, Wenyang & Li, Degui & Xia, Yingcun, 2015. "Estimation in generalised varying-coefficient models with unspecified link functions," Journal of Econometrics, Elsevier, vol. 187(1), pages 238-255.
    22. Xuejun Ma & Yue Du & Jingli Wang, 2022. "Model detection and variable selection for mode varying coefficient model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(2), pages 321-341, June.
    23. Peng, Bin, 2016. "Inference on modelling cross-sectional dependence for a varying-coefficient model," Economics Letters, Elsevier, vol. 145(C), pages 1-5.
    24. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    25. Price, Sarah & Zhang, Xiaohui & Spencer, Anne, 2020. "Measuring the impact of national guidelines: What methods can be used to uncover time-varying effects for healthcare evaluations?," Social Science & Medicine, Elsevier, vol. 258(C).
    26. Thomas P. Triebs & Subal C. Kumbhakar, 2018. "Management in production: from unobserved to observed," Journal of Productivity Analysis, Springer, vol. 49(2), pages 111-121, June.
    27. Асатуров К.Г., 2015. "Динамические Модели Систематического Риска: Сравнение На Примере Индийского Фондового Рынка," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 51(4), pages 59-75, октябрь.
    28. Benjamin David, 2014. "Contribution of ICT on Labor Market Polarization: an Evolutionary Approach," EconomiX Working Papers 2014-25, University of Paris Nanterre, EconomiX.
    29. Heshmati, Almas & Kumbhakar, Subal C. & Sun, Kai, 2013. "Estimation of Productivity in Korean Electric Power Plants: A Semiparametric Smooth Coefficient Model," IZA Discussion Papers 7277, Institute of Labor Economics (IZA).
    30. Sun, Kai & Kumbhakar, Subal C. & Tveterås, Ragnar, 2015. "Productivity and efficiency estimation: A semiparametric stochastic cost frontier approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 194-202.
    31. Kai Sun & Ruhul Salim, 2020. "A semiparametric stochastic input distance frontier model with application to the Indonesian banking industry," Journal of Productivity Analysis, Springer, vol. 54(2), pages 139-156, December.
    32. Bram Gootjes & Jakob Haan & Richard Jong-A-Pin, 2021. "Do fiscal rules constrain political budget cycles?," Public Choice, Springer, vol. 188(1), pages 1-30, July.
    33. Zhang, Rui & Sun, Kai & Delgado, Michael S. & Kumbhakar, Subal C., 2012. "Productivity in China's high technology industry: Regional heterogeneity and R&D," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 127-141.
    34. Ye Chen & Liangjun Su & Aman Ullah, 2009. "Functional Coefficient Estimation with Both Categorical and Continuous Data," Working Papers 200909, University of California at Riverside, Department of Economics, revised Jun 2009.
    35. Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    36. Diego A. Restrepo-Tobón & Subal C. Kumbhakar & Kai Sun, 2013. "Are U.S. Commercial Banks Too Big?," Documentos de Trabajo de Valor Público 10943, Universidad EAFIT.
    37. Bhaumik, Sumon K. & Dimova, Ralitza & Kumbhakar, Subal C. & Sun, Kai, 2012. "Does Institutional Quality Affect Firm Performance? Insights from a Semiparametric Approach," IZA Discussion Papers 6351, Institute of Labor Economics (IZA).
    38. Wang, Banban & Wei, Jie & Tan, Xiujie & Su, Bin, 2021. "The sectorally heterogeneous and time-varying price elasticities of energy demand in China," Energy Economics, Elsevier, vol. 102(C).
    39. Andersson, Fredrik N.G., 2023. "Income inequality and carbon emissions in the United States 1929–2019," Ecological Economics, Elsevier, vol. 204(PA).
    40. Wikstrom, Daniel & Peeters, Ludo & Surry, Yves R., 2011. "Semiparametric Cost Allocation Estimation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115742, European Association of Agricultural Economists.
    41. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
    42. Kim, Young-Ju, 2013. "A partial spline approach for semiparametric estimation of varying-coefficient partially linear models," Computational Statistics & Data Analysis, Elsevier, vol. 62(C), pages 181-187.
    43. Han, Xiaoyi & Peng, Bin & Yang, Yanrong & Zhu, Huanjun, 2021. "Shrinkage estimation of the varying-coefficient model with continuous and categorical covariates," Economics Letters, Elsevier, vol. 202(C).
    44. Zhao, Yan-Yong & Lin, Jin-Guan, 2019. "Estimation and test of jump discontinuities in varying coefficient models with empirical applications," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 145-163.
    45. Lien, Gudbrand & Kumbhakar, Subal C. & Mishra, Ashok K. & Hardaker, J. Brian, 2022. "Does risk management affect productivity of organic rice farmers in India? Evidence from a semiparametric production model," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1392-1402.
    46. Das, Sonali & Racine, Jeffrey S., 2018. "Interactive nonparametric analysis of nonlinear systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 290-301.
    47. Jeffrey S. Racine, 2016. "A Correction to "Generalized Nonparametric Smoothing with Mixed Discrete and Continuous Data" by Li, Simar & Zelenyuk (2014, CSDA)," Department of Economics Working Papers 2016-01, McMaster University.
    48. Jiti Gao & Bin Peng & Zhao Ren & Xiaohui Zhang, 2015. "Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index," Monash Econometrics and Business Statistics Working Papers 21/15, Monash University, Department of Econometrics and Business Statistics.

  30. Li Qi, 2010. "Capital flows and domestic market integration in China," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 8(1), pages 67-94.

    Cited by:

    1. Saileshsingh Gunessee & Cheng Zhang, 2022. "The economics of domestic market integration," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1069-1095, September.
    2. Ellwood, Sheila & Greenwood, Margaret, 2016. "Accounting for heritage assets: Does measuring economic value ‘kill the cat’?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 38(C), pages 1-13.

  31. Qi, Li & Prime, Penelope B., 2009. "Market reforms and consumption puzzles in China," China Economic Review, Elsevier, vol. 20(3), pages 388-401, September.

    Cited by:

    1. Chance Mwabutwa & Manoel Bittencourt & Nicola Viegi, 2012. "Financial Reforms and Consumption Behaviour in Malawi," Working Papers 306, Economic Research Southern Africa.
    2. Bonatti, Luigi & Fracasso, Andrea, 2013. "Regime switches in the Sino-American co-dependency: Growth and structural change in China," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 1-32.
    3. Shenglong Liu & Angang Hu, 2013. "Household Saving in China: The Keynesian Hypothesis, Life-Cycle Hypothesis, and Precautionary Saving Theory," The Developing Economies, Institute of Developing Economies, vol. 51(4), pages 360-387, December.
    4. Rohman, Ibrahim Kholilul & Bohlin, Erik, 2014. "Decomposition analysis of the telecommunications sector in Indonesia: What does the cellular era shed light on?," Telecommunications Policy, Elsevier, vol. 38(3), pages 248-263.
    5. Shaojie Zhou & Junsen Zhang, 2016. "Chinese Saving Rates from 1953 to 2012: Trends, Compositions and Prospects," Pacific Economic Review, Wiley Blackwell, vol. 21(2), pages 227-252, May.
    6. Rajat Deb & Prasenjit Deb & Sujit Majumder & Sourav Chakraborty & Kiran Sankar Chakraborty, 2019. "Answering Savings Puzzle About Small Saving Schemes and Mutual Funds: Evidence from Tripura," Metamorphosis: A Journal of Management Research, , vol. 18(1), pages 7-19, June.
    7. van Treeck, Till. & Sturn, Simon., 2012. "Income inequality as a cause of the Great Recession? : A survey of current debates," ILO Working Papers 994709343402676, International Labour Organization.
    8. Fernando Alexandre & Carmen Mendes, 2011. "Growth, Competition and Political Stability in China," NIPE Working Papers 28/2011, NIPE - Universidade do Minho.

  32. Ouyang, Desheng & Li, Qi & Racine, Jeffrey S., 2009. "Nonparametric Estimation Of Regression Functions With Discrete Regressors," Econometric Theory, Cambridge University Press, vol. 25(1), pages 1-42, February.

    Cited by:

    1. Phillip Heiler & Jana Mareckova, 2019. "Shrinkage for Categorical Regressors," Papers 1901.01898, arXiv.org.
    2. Kiefer, Nicholas M. & Racine, Jeffrey S., 2008. "The Smooth Colonel Meets the Reverend," Working Papers 08-01, Cornell University, Center for Analytic Economics.
    3. Nadine McCloud & Christopher F. Parmeter, 2017. "Calculating Degrees of Freedom in Multivariate Local Polynomial Regression," Working Papers 2017-14, University of Miami, Department of Economics.
    4. Daniel Wikström, 2015. "A finite sample improvement of the fixed effects estimator applied to technical inefficiency," Journal of Productivity Analysis, Springer, vol. 43(1), pages 29-46, February.
    5. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    7. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    8. Müller, Ursula U. & Schick, Anton & Wefelmeyer, Wolfgang, 2015. "Estimators in step regression models," Statistics & Probability Letters, Elsevier, vol. 100(C), pages 124-129.
    9. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    10. Lien, Donald & Hu, Yue & Liu, Long, 2017. "A note on using ratio variables in regression analysis," Economics Letters, Elsevier, vol. 150(C), pages 114-117.
    11. Alessandro Bonanno & Francesco Bimbo & Marco Costanigro & Alfons Oude Lansink & Rosaria Viscecchia, 2019. "Credence attributes and the quest for a higher price – a hedonic stochastic frontier approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(2), pages 163-192.
    12. Heiler, Phillip & Mareckova, Jana, 2021. "Shrinkage for categorical regressors," Journal of Econometrics, Elsevier, vol. 223(1), pages 161-189.
    13. Phillip Heiler, 2020. "Efficient Covariate Balancing for the Local Average Treatment Effect," Papers 2007.04346, arXiv.org.

  33. Li, Qi & Racine, Jeffrey S. & Wooldridge, Jeffrey M., 2009. "Efficient Estimation of Average Treatment Effects with Mixed Categorical and Continuous Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 206-223.

    Cited by:

    1. Persson, Emma & Häggström, Jenny & Waernbaum, Ingeborg & de Luna, Xavier, 2017. "Data-driven algorithms for dimension reduction in causal inference," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 280-292.
    2. Lv, Xiaofeng & Li, Rui & Fang, Zheng, 2017. "Efficient semiparametric estimation for Gini inequality treatment effects," Economics Letters, Elsevier, vol. 154(C), pages 96-100.
    3. Tang, Shengfang & Huang, Zhilin, 2022. "Empirical likelihood confidence interval for difference-in-differences estimator with panel data," Economics Letters, Elsevier, vol. 216(C).
    4. Kyoo il Kim, 2019. "Efficiency of Average Treatment Effect Estimation When the True Propensity Is Parametric," Econometrics, MDPI, vol. 7(2), pages 1-13, May.
    5. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    6. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Daniel Wikström, 2015. "A finite sample improvement of the fixed effects estimator applied to technical inefficiency," Journal of Productivity Analysis, Springer, vol. 43(1), pages 29-46, February.
    8. Alejo, Javier & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2018. "Quantile continuous treatment effects," Econometrics and Statistics, Elsevier, vol. 8(C), pages 13-36.
    9. Jay Bhattacharya & Azeem Shaikh & Edward Vytlacil, 2005. "Treatment Effect Bounds: An Application to Swan-Ganz Catheterization," NBER Working Papers 11263, National Bureau of Economic Research, Inc.
    10. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
    11. Gabriel Montes-Rojas & Vera Chiodi, 2021. "MENTORING AS A DOSE TREATMENT: FREQUENCY MATTERS: Evidence from a French mentoring program," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET) 2021-65, Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET).
    12. Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019. "Specification tests for the propensity score," Journal of Econometrics, Elsevier, vol. 210(2), pages 379-404.
    13. Francesco Bravo & David Jacho-Chavez, 2011. "Empirical Likelihood for Efficient Semiparametric Average Treatment Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(1), pages 1-24.
    14. Dehejia Rajeev, 2015. "Experimental and Non-Experimental Methods in Development Economics: A Porous Dialectic," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 47-69, June.
    15. White, Halbert, 2006. "Time-series estimation of the effects of natural experiments," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 527-566.
    16. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    17. Giovanni Cerulli, 2013. "treatrew: A user-written Stata routine for estimating average treatment effects by reweighting on propensity score," United Kingdom Stata Users' Group Meetings 2013 02, Stata Users Group.
    18. Wikstrom, Daniel & Peeters, Ludo & Surry, Yves R., 2011. "Semiparametric Cost Allocation Estimation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115742, European Association of Agricultural Economists.
    19. Phillip Heiler, 2020. "Efficient Covariate Balancing for the Local Average Treatment Effect," Papers 2007.04346, arXiv.org.
    20. Kim P. Huynh & David T. Jacho-Chávez & James K. Self, 2015. "The Distributional Efficacy of Collaborative Learning on Student Outcomes," The American Economist, Sage Publications, vol. 60(2), pages 98-119, September.

  34. Cai, Zongwu & Li, Qi & Park, Joon Y., 2009. "Functional-coefficient models for nonstationary time series data," Journal of Econometrics, Elsevier, vol. 148(2), pages 101-113, February.

    Cited by:

    1. Dong, Chaohua & Linton, Oliver, 2018. "Additive nonparametric models with time variable and both stationary and nonstationary regressors," Journal of Econometrics, Elsevier, vol. 207(1), pages 212-236.
    2. Qi Gao & Jingping Gu & Paula Hernandez-Verme, 2012. "A Semiparametric Time Trend Varying Coefficients Model: With An Application to Evaluate Credit Rationing in U.S. Credit Market," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 189-210, May.
    3. Phillips, Peter C.B. & Wang, Ying, 2022. "Functional coefficient panel modeling with communal smoothing covariates," Journal of Econometrics, Elsevier, vol. 227(2), pages 371-407.
    4. Oliver Linton & Qiying Wang, 2013. "Non-parametric transformation regression with non-stationary data," CeMMAP working papers CWP16/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Haiqiang Chen, "undated". "Robust Estimation and Inference for Threshold Models with Integrated Regressors," Working Papers 2013-12-02, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    7. Jiti Gao & Degui Li & Dag Tjøstheim, 2011. "Uniform Consistency for Nonparametric Estimators in Null Recurrent Time Series," Monash Econometrics and Business Statistics Working Papers 13/11, Monash University, Department of Econometrics and Business Statistics.
    8. Phillips, Peter C.B. & Li, Degui & Gao, Jiti, 2017. "Estimating smooth structural change in cointegration models," Journal of Econometrics, Elsevier, vol. 196(1), pages 180-195.
    9. Zhongwen Liang & Zhongjian Lin & Cheng Hsiao, 2015. "Local Linear Estimation of a Nonparametric Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 882-906, December.
    10. Rodriguez-Poo, Juan M. & Soberón, Alexandra, 2015. "Nonparametric estimation of fixed effects panel data varying coefficient models," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 95-122.
    11. Peter C.B. Phillips & Ying Wang, 2020. "When Bias Contributes to Variance: True Limit Theory in Functional Coefficient Cointegrating Regression," Cowles Foundation Discussion Papers 2250, Cowles Foundation for Research in Economics, Yale University.
    12. Peng, Zhen & Dong, Chaohua, 2022. "Augmented cointegrating linear models with possibly strongly correlated stationary and nonstationary regressors," Finance Research Letters, Elsevier, vol. 47(PB).
    13. Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020. "Estimation for double-nonlinear cointegration," LSE Research Online Documents on Economics 103830, London School of Economics and Political Science, LSE Library.
    14. Hongjun Li & Zhongjian Lin & Cheng Hsiao, 2015. "Testing purchasing power parity hypothesis: a semiparametric varying coefficient approach," Empirical Economics, Springer, vol. 48(1), pages 427-438, February.
    15. Jiti Gao & Dag Tjøstheim & Jiying Yin, 2011. "Estimation in threshold autoregressive models with a stationary and a unit root regime," Monash Econometrics and Business Statistics Working Papers 21/11, Monash University, Department of Econometrics and Business Statistics.
    16. Jiti Gao & Dag Tjøstheim & Jiying Yin, 2012. "Model Specification between Parametric and Nonparametric Cointegration," Monash Econometrics and Business Statistics Working Papers 18/12, Monash University, Department of Econometrics and Business Statistics.
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    2. Halkos, George & Tzeremes, Nickolaos, 2012. "Public sector transparency and countries’ environmental performance: A nonparametric analysis," MPRA Paper 39553, University Library of Munich, Germany.
    3. Nguyen, Trang Thi Thuy & Pham, Binh Thai & Prior, Diego & van Hemmen, Stefan, 2022. "Performance of tax simplification around the world: A panel frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    4. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne, 2020. "Plant capacity notions in a non-parametric framework: a brief review and new graph or non-oriented plant capacities," Annals of Operations Research, Springer, vol. 288(2), pages 837-860, May.
    5. Kerstens, Kristiaan & Mazza, Paolo & Ren, Tiantian & Van de Woestyne, Ignace, 2022. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Omega, Elsevier, vol. 113(C).
    6. S. Akin & Val Lambson & Grant McQueen & Brennan Platt & Barrett Slade & Justin Wood, 2013. "Rushing to Overpay: Modeling and Measuring the REIT Premium," The Journal of Real Estate Finance and Economics, Springer, vol. 47(3), pages 506-537, October.
    7. Frederic Ang & Pieter Jan Kerstens, 2018. "Superlative approximation of the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," IFRO Working Paper 2018/10, University of Copenhagen, Department of Food and Resource Economics.
    8. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    9. Silvia Saravia-Matus & T. S. Amjath-Babu & Sreejith Aravindakshan & Stefan Sieber & Jimmy A. Saravia & Sergio Gomez y Paloma, 2021. "Can Enhancing Efficiency Promote the Economic Viability of Smallholder Farmers? A Case of Sierra Leone," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    10. Xiaoqing Chen & Kristiaan Kerstens & Qingyuan Zhu, 2021. "Exploring Horizontal Mergers in Swedish District Courts Using Convex and Nonconvex Technologies: Usefulness of a Conservative Approach," Working Papers 2021-EQM-05, IESEG School of Management.
    11. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    12. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    13. Abhiman Das & Subal C. Kumbhakar, 2016. "Markup and efficiency of Indian banks: an input distance function approach," Empirical Economics, Springer, vol. 51(4), pages 1689-1719, December.
    14. Martin Huber, 2011. "Testing for covariate balance using quantile regression and resampling methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(12), pages 2881-2899, February.
    15. ARAUJO ENCISO Sergio Rene & PIERALLI SIMONE & PEREZ DOMINGUEZ Ignacio, 2017. "Partial Stochastic Analysis with the Aglink-Cosimo Model: A Methodological Overview," JRC Research Reports JRC108837, Joint Research Centre.
    16. Halkos, George & Tzeremes, Nickolaos, 2012. "Measuring seaports’ productivity: A Malmquist productivity index decomposition approach," MPRA Paper 40174, University Library of Munich, Germany.
    17. Malikov, Emir, 2016. "Dynamic responses to oil price shocks: Conditional vs unconditional (a)symmetry," Economics Letters, Elsevier, vol. 139(C), pages 31-35.
    18. Daraio, Cinzia & Simar, Léopold & Wilson, Paul W., 2021. "Quality as a latent heterogeneity factor in the efficiency of universities," Economic Modelling, Elsevier, vol. 99(C).
    19. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2023. "Estimating the degree of firms’ input market power via data envelopment analysis: Evidence from the global biotechnology and pharmaceutical industry," European Journal of Operational Research, Elsevier, vol. 305(2), pages 946-960.
    20. Fujii, Hidemichi & Cao, Jing & Managi, Shunsuke, 2014. "Decomposition of productivity considering multi-environmental pollutants in Chinese industrial sector," MPRA Paper 57997, University Library of Munich, Germany.
    21. Taoufik Bouezmarni & Jeroen V.K. Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," Cahiers de recherche 0927, CIRPEE.
    22. McCloud, Nadine & Delgado, Michael S. & Holmes, Chanit'a, 2018. "Does a stronger system of law and order constrain the effects of foreign direct investment on government size?," European Journal of Political Economy, Elsevier, vol. 55(C), pages 258-283.
    23. Tomas Baležentis & Irena Kriščiukaitienė & Alvydas Baležentis, 2014. "A nonparametric analysis of the determinants of family farm efficiency dynamics in Lithuania," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 589-599, September.
    24. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    25. Ananda, Jayanath & Hampf, Benjamin, 2015. "Measuring environmentally sensitive productivity growth: An application to the urban water sector," Ecological Economics, Elsevier, vol. 116(C), pages 211-219.
    26. S. C. West & A. W. Mugera & R. S. Kingwell, 2022. "The choice of efficiency benchmarking metric in evaluating firm productivity and viability," Journal of Productivity Analysis, Springer, vol. 57(2), pages 193-211, April.
    27. Qianying Jin & Kristiaan Kerstens & Ignace van de Woestyne, 2020. "Metafrontier productivity indices: Questioning the common convexification strategy," Post-Print hal-02496997, HAL.
    28. Jin, Qianying & Basso, Antonella & Funari, Stefania & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2024. "Evaluating different groups of mutual funds using a metafrontier approach: Ethical vs. non-ethical funds," European Journal of Operational Research, Elsevier, vol. 312(3), pages 1134-1145.
    29. Bayudan-Dacuycuy, Connie & Dacuucuy, Lawrence, 2022. "Harnessing the Potential of Online Marketplaces in the Philippines: Insights from the National Information and Communications Technology Household Survey," ADBI Working Papers 1341, Asian Development Bank Institute.
    30. Camillo, Furio & D'Attoma, Ida, 2012. "%GI: A SAS Macro for Measuring and Testing Global Imbalance of Covariates within Subgroups," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 51(c01).
    31. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    32. Hiranya Nath & Kiril Tochkov, 2013. "Relative inflation dynamics in the new EU member countries of Central and Eastern Europe," Empirical Economics, Springer, vol. 45(1), pages 1-22, August.
    33. Cherchye, Laurens & De Rock, Bram & Kerstens, Pieter Jan, 2018. "Production with storable and durable inputs: Nonparametric analysis of intertemporal efficiency," European Journal of Operational Research, Elsevier, vol. 270(2), pages 498-513.
    34. Xiaoqing Chen & Kristiaan Kerstens & Mike Tsionas, 2023. "Does Productivity Change at All in Swedish District Courts? Empirical Analysis Focusing on Horizontal Mergers," Working Papers 2023-EQM-03, IESEG School of Management.
    35. Kristína Kočišová & Peter Šugerek, 2021. "Revenue efficiency: a distributional analysis in the European banking," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 14(1), pages 3-22.
    36. Marcos Sanso-Navarro & Maria Vera-Cabello, 2015. "The effects of knowledge and innovation on regional growth: Nonparametric evidence," ERSA conference papers ersa15p949, European Regional Science Association.
    37. Kerstens, Kristiaan & Sadeghi, Jafar & Van de Woestyne, Ignace, 2019. "Convex and nonconvex input-oriented technical and economic capacity measures: An empirical comparison," European Journal of Operational Research, Elsevier, vol. 276(2), pages 699-709.
    38. Sloboba, Brian W. & Yao, Vincent W., 2005. "An Analysis of Gender Differences in Vehicles Miles Traveled (VMT) Using Nonparametric Methods," 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005 208165, Transportation Research Forum.
    39. Xiaoqing Chen & Kristiaan Kerstens, 2022. "Evaluating horizontal mergers in Swedish district courts using plant capacity concepts: with a focus on nonconvexity," Post-Print halshs-03924994, HAL.
    40. Ndiweni, Zinzile Lorna & Bonga-Bonga, Lumengo, 2022. "Contagion or decoupling? Evidence from emerging stock markets," MPRA Paper 115170, University Library of Munich, Germany.
    41. Ang, Frederic & Kerstens, Pieter Jan, 2020. "A superlative indicator for the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1161-1173.
    42. Jorge Bonilla & Jessica Coria & Thomas Sterner, 2018. "Technical Synergies and Trade-Offs Between Abatement of Global and Local Air Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 191-221, May.
    43. Carlos Barros & Hidemichi Fujii & Shunsuke Managi, 2015. "How scale and ownership are related to financial performance? A productivity analysis of the Chinese banking sector," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-14, December.
    44. Bonilla, Jorge & Coria, Jessica & Sterner, Thomas, 2012. "Synergies and Trade-offs between Climate and Local Air Pollution: Policies in Sweden," Working Papers in Economics 529, University of Gothenburg, Department of Economics.
    45. Juan Piedra-Peña & Diego Prior, 2023. "Analyzing the effect of health reforms on the efficiency of Ecuadorian public hospitals," International Journal of Health Economics and Management, Springer, vol. 23(3), pages 361-392, September.
    46. Kerstens, Kristiaan & O’Donnell, Christopher & Van de Woestyne, Ignace, 2019. "Metatechnology frontier and convexity: A restatement," European Journal of Operational Research, Elsevier, vol. 275(2), pages 780-792.
    47. Pieralli, Simone, 2012. "Sources of measured agricultural yield difference," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124771, Agricultural and Applied Economics Association.
    48. Nadine McCloud & Michael S. Delgado, 2022. "Domestic interest rate, foreign direct investment, and corruption," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(2), pages 467-491, May.
    49. Simone Gitto & Paolo Mancuso, 2015. "The contribution of physical and human capital accumulation to Italian regional growth: a nonparametric perspective," Journal of Productivity Analysis, Springer, vol. 43(1), pages 1-12, February.
    50. Sreejith Aravindakshan & Frederick Rossi & T. S. Amjath-Babu & Prakashan Chellattan Veettil & Timothy J. Krupnik, 2018. "Application of a bias-corrected meta-frontier approach and an endogenous switching regression to analyze the technical efficiency of conservation tillage for wheat in South Asia," Journal of Productivity Analysis, Springer, vol. 49(2), pages 153-171, June.
    51. Rong Zhu, 2014. "The impact of major-job mismatch on college graduates' early career earnings: evidence from China," Education Economics, Taylor & Francis Journals, vol. 22(5), pages 511-528, October.
    52. Maria Teresa Balaguer-Coll & Diego Prior & Emili Tortosa-Ausina, 2010. "Devolution Dynamics of Spanish Local Government," Environment and Planning A, , vol. 42(6), pages 1476-1495, June.
    53. Marie-Hélène Felt, 2018. "A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions," Staff Working Papers 18-29, Bank of Canada.
    54. Bontemps, Christophe & Nauges, Celine & Requillart, Vincent & Simioni, Michel, 2011. "Technical Change vs Efficiency Change: How do Food Industries Evolve Over Time?," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114262, European Association of Agricultural Economists.
    55. Panagiotis Ravanos & Giannis Karagiannis, 2021. "A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 27-46, May.
    56. Emil Exenberger & Michaela Kav?áková, 2020. "Evaluation of financial health of companies through data envelopment analysis: Selection of variables for the DEA model in R," Proceedings of Economics and Finance Conferences 10913067, International Institute of Social and Economic Sciences.
    57. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
    58. Maasoumi, Esfandiar & Zaman, Asad & Ahmed, Mumtaz, 2010. "Tests for structural change, aggregation, and homogeneity," Economic Modelling, Elsevier, vol. 27(6), pages 1382-1391, November.
    59. Robert G. Chambers & Simone Pieralli, 2020. "The Sources of Measured US Agricultural Productivity Growth: Weather, Technological Change, and Adaptation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1198-1226, August.
    60. Ananda, Jayanath & Gitto, Simone & Mancuso, Paolo, 2013. "Ownership, Productivity Change in the Australian Urban Water Sector: a Bootstrap Malmquist indices approach," MPRA Paper 50384, University Library of Munich, Germany.
    61. George E. Halkos & Christina Bampatsou, 2019. "Economic growth and environmental degradation: a conditional nonparametric frontier analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 325-347, April.
    62. Wanke, Peter & Pestana Barros, Carlos & Chen, Zhongfei, 2015. "An analysis of Asian airlines efficiency with two-stage TOPSIS and MCMC generalized linear mixed models," International Journal of Production Economics, Elsevier, vol. 169(C), pages 110-126.
    63. Gounopoulos, Dimitrios & Kallias, Konstantinos & Newton, David & Tzeremes, Nickolaos, 2016. "Political connections and IPO underpricing: An efficiency problem," MPRA Paper 69427, University Library of Munich, Germany.
    64. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    65. López-Herrera, Carmen & Cordero, José M. & Pedraja-Chaparro, Francisco & Polo, Cristina, 2023. "Fiscal rules and their influence on public sector efficiency," MPRA Paper 119018, University Library of Munich, Germany.
    66. Chellattan Veettil, Prakashan & Krishna, Vijesh V. & Qaim, Matin, 2014. "Bt Cotton and Ecosystem Impacts of Pesticide Reductions," GlobalFood Discussion Papers 180977, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.

  36. Meng, Wei & Zhang, Daqun & Qi, Li & Liu, Wenbin, 2008. "Two-level DEA approaches in research evaluation," Omega, Elsevier, vol. 36(6), pages 950-957, December.

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    2. Mad Ithnin Salleh & Nurul Fadly Habidin & Abdul Halim Masnan & Nordin Mamat, 2017. "Estimating Technical Efficiency and Bootstrapping Malmquist Indices: Analysis of Malaysian Preschool Sector," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(3), pages 440-457, March.
    3. Liu, W.B. & Zhang, D.Q. & Meng, W. & Li, X.X. & Xu, F., 2011. "A study of DEA models without explicit inputs," Omega, Elsevier, vol. 39(5), pages 472-480, October.
    4. Anastasia Salnikova & Yuri Chepurko & Nadezhda Starkova & Hi?n Nguy?n Ho ng, 2019. "External Effects of Renewable Energy Projects: Life Cycle Analysis-based Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 256-262.
    5. Mehdi Rhaiem, 2017. "Measurement and determinants of academic research efficiency: a systematic review of the evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 581-615, February.
    6. Lee, Seonghee & Lee, Hakyeon, 2015. "Measuring and comparing the R&D performance of government research institutes: A bottom-up data envelopment analysis approach," Journal of Informetrics, Elsevier, vol. 9(4), pages 942-953.
    7. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2011. "A field-standardized application of DEA to national-scale research assessment of universities," Journal of Informetrics, Elsevier, vol. 5(4), pages 618-628.
    8. Zhang, Daqun & Banker, Rajiv D. & Li, Xiaoxuan & Liu, Wenbin, 2011. "Performance impact of research policy at the Chinese Academy of Sciences," Research Policy, Elsevier, vol. 40(6), pages 875-885, July.
    9. Samira El Gibari & Trinidad Gómez & Francisco Ruiz, 2022. "Combining reference point based composite indicators with data envelopment analysis: application to the assessment of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4363-4395, August.
    10. Ramanathan, Ramakrishnan & Ramanathan, Usha, 2010. "A qualitative perspective to deriving weights from pairwise comparison matrices," Omega, Elsevier, vol. 38(3-4), pages 228-232, June.
    11. Jaehun Park & Joonyoung Kim & Si-Il Sung, 2017. "Performance Evaluation of Research and Business Development: A Case Study of Korean Public Organizations," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    12. Kong, Wei-Hsin & Fu, Tsu-Tan, 2012. "Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators," Omega, Elsevier, vol. 40(5), pages 541-549.
    13. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    14. Giménez, Víctor & Ayvar-Campos, Francisco Javier & Navarro-Chávez, José César Lenin, 2017. "Efficiency in the generation of social welfare in Mexico: A proposal in the presence of bad outputs," Omega, Elsevier, vol. 69(C), pages 43-52.
    15. Bao Jiang & Wenxue Feng & Jian Li, 2022. "Uncertain random data envelopment analysis for technical efficiency," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 1-20, March.
    16. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "Estimating the multi-period efficiency of high-tech research institutes of the Chinese Academy of Sciences: A dynamic slacks-based measure," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    17. Teodoro Galache Laza & Trinidad Gómez & Fátima Pérez García & Carlos Rivas & Cristobal José Ruiz & José Sánchez Maldonado & Ángel Torrico González & Rafael Caballero Fernandez, 2010. "Análisis de la eficiencia de los grupos de investigación por ramas de conocimiento," Investigaciones de Economía de la Educación volume 5, in: María Jesús Mancebón-Torrubia & Domingo P. Ximénez-de-Embún & José María Gómez-Sancho & Gregorio Gim (ed.), Investigaciones de Economía de la Educación 5, edition 1, volume 5, chapter 37, pages 733-744, Asociación de Economía de la Educación.
    18. Siriopoulos, Costas & Tziogkidis, Panagiotis, 2010. "How do Greek banking institutions react after significant events?--A DEA approach," Omega, Elsevier, vol. 38(5), pages 294-308, October.
    19. Amir Arjomandi & Mad Ithnin Salleh & Abbas Mohammadzadeh, 2015. "Measuring productivity change in higher education: an application of Hicks–Moorsteen total factor productivity index to Malaysian public universities," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 20(4), pages 630-643, October.
    20. Shahari, Mohd Ridzwan & See, Kok Fong & Mohammed, Noor Syahireen & Yu, Ming-Miin, 2023. "Constructing the performance index of Malaysia’s district health centers using effectiveness-based hierarchical data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    21. Marcel Clermont & Alexander Dirksen & Harald Dyckhoff, 2015. "Returns to scale of Business Administration research in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 583-614, May.
    22. Huang, Chao & Dai, Chong & Guo, Miao, 2015. "A hybrid approach using two-level DEA for financial failure prediction and integrated SE-DEA and GCA for indicators selection," Applied Mathematics and Computation, Elsevier, vol. 251(C), pages 431-441.
    23. Kremantzis, Marios Dominikos & Beullens, Patrick & Kyrgiakos, Leonidas Sotirios & Klein, Jonathan, 2022. "Measurement and evaluation of multi-function parallel network hierarchical DEA systems," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    24. Liu, Wenbin & Zhou, Zhongbao & Liu, Debin & Xiao, Helu, 2015. "Estimation of portfolio efficiency via DEA," Omega, Elsevier, vol. 52(C), pages 107-118.
    25. Genave, Anna & Blancard, Stéphane & Garabedian, Sabine, 2020. "An assessment of energy vulnerability in Small Island Developing States," Ecological Economics, Elsevier, vol. 171(C).
    26. Charles, Vincent & Aparicio, Juan & Zhu, Joe, 2019. "The curse of dimensionality of decision-making units: A simple approach to increase the discriminatory power of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 279(3), pages 929-940.
    27. Chen, Po-Chi & Yu, Ming-Miin & Shih, Jou-Chen & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2019. "A reassessment of the Global Food Security Index by using a hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 272(2), pages 687-698.
    28. Demirbag, Mehmet & Tatoglu, Ekrem & Glaister, Keith W. & Zaim, Selim, 2010. "Measuring strategic decision making efficiency in different country contexts: A comparison of British and Turkish firms," Omega, Elsevier, vol. 38(1-2), pages 95-104, February.
    29. See, Kok Fong & Ng, Ying Chu & Yu, Ming-Miin, 2022. "An alternative assessment approach to national higher education system evaluation," Evaluation and Program Planning, Elsevier, vol. 94(C).
    30. Xi Xiong & Guo-liang Yang & Kai-di Liu & De-qun Zhou, 2022. "A proposed fixed-sum carryovers reallocation DEA approach for social scientific resources of Chinese public universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4097-4121, July.

  37. Qi Li & Jeffrey S. Racine & Jeffrey M. Wooldridge, 2008. "Estimating Average Treatment Effects with Continuous and Discrete Covariates: The Case of Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 357-362, May.

    Cited by:

    1. Daniel J. Henderson & Christopher F. Parmeter, 2009. "Imposing economic constraints in nonparametric regression: survey, implementation, and extension," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 433-469, Emerald Group Publishing Limited.
    2. Lv, Xiaofeng & Li, Rui & Fang, Zheng, 2017. "Efficient semiparametric estimation for Gini inequality treatment effects," Economics Letters, Elsevier, vol. 154(C), pages 96-100.
    3. Steven F. Koch & Jeffrey S. Racine, 2013. "Health Care Facility Choice and User Fee Abolition: Regression Discontinuity in a Multinomial Choice Setting," Working Papers 201353, University of Pretoria, Department of Economics.
    4. Bravo, Francesco & Escanciano, Juan Carlos & Van Keilegom, Ingrid, 2015. "Wilks' Phenomenon in Two-Step Semiparametric Empirical Likelihood Inference," LIDAM Discussion Papers ISBA 2015016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Jay Bhattacharya & Azeem Shaikh & Edward Vytlacil, 2005. "Treatment Effect Bounds: An Application to Swan-Ganz Catheterization," NBER Working Papers 11263, National Bureau of Economic Research, Inc.
    6. Marc Henry & Ismael Mourifié, 2012. "Sharp Bounds in the Binary Roy Model," CIRANO Working Papers 2012s-06, CIRANO.
    7. Francesco Bravo & David Jacho-Chavez, 2011. "Empirical Likelihood for Efficient Semiparametric Average Treatment Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(1), pages 1-24.
    8. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2008. "Using Selection on Observed Variables to Assess Bias from Unobservables When Evaluating Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 345-350, May.
    9. Arteaga, Irma & Humpage, Sarah & Reynolds, Arthur J. & Temple, Judy A., 2014. "One year of preschool or two: Is it important for adult outcomes?," Economics of Education Review, Elsevier, vol. 40(C), pages 221-237.

  38. Lance Bachmeier & Qi Li & Dandan Liu, 2008. "Should Oil Prices Receive So Much Attention? An Evaluation Of The Predictive Power Of Oil Prices For The U.S. Economy," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 528-539, October.

    Cited by:

    1. Fan, Qinbin & Jahan-Parvar, Mohammad R., 2012. "U.S. industry-level returns and oil prices," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 112-128.
    2. Yang, Lu & Cai, Xiao Jing & Hamori, Shigeyuki, 2018. "What determines the long-term correlation between oil prices and exchange rates?," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 140-152.
    3. Narjess Bouslama, 2023. "Interdependence between the BRICS Stock Markets and the Oil Price since the Onset of Financial and Economic Crises," JRFM, MDPI, vol. 16(7), pages 1-22, June.
    4. Marc Joëts & Valérie Mignon & Tovonony Razafindrabe, 2015. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Working Papers 2015-02, CEPII research center.
    5. Francesco Ravazzolo & Philip Rothman, 2011. "Oil and US GDP: A Real-Time out-of Sample Examination," Working Papers No 2/2011, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    6. Lu Yang & Lei Yang & Kung-Cheng Ho & Shigeyuki Hamori, 2019. "Determinants of the Long-Term Correlation between Crude Oil and Stock Markets," Energies, MDPI, vol. 12(21), pages 1-15, October.
    7. Pal, Debdatta & Mitra, Subrata Kumar, 2019. "Asymmetric oil price transmission to the purchasing power of the U.S. dollar: A multiple threshold NARDL modelling approach," Resources Policy, Elsevier, vol. 64(C).
    8. Nonejad, Nima, 2020. "Crude oil price volatility and short-term predictability of the real U.S. GDP growth rate," Economics Letters, Elsevier, vol. 186(C).
    9. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    10. Ziesemer, Thomas, 2009. "Growth with imported resources: On the sustainability of U.S. growth and foreign debt," MERIT Working Papers 2009-028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Kilian, Lutz & Vigfusson, Robert J., 2012. "Do Oil Prices Help Forecast U.S. Real GDP? The Role of Nonlinearities and Asymmetries," CEPR Discussion Papers 8980, C.E.P.R. Discussion Papers.
    12. Nima Nonejad, 2022. "New Findings Regarding the Out-of-Sample Predictive Impact of the Price of Crude Oil on the United States Industrial Production," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 1-35, March.
    13. Ron Alquist & Lutz Kilian & Robert Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
    14. Funk, Christoph, 2018. "Forecasting the real price of oil - Time-variation and forecast combination," Energy Economics, Elsevier, vol. 76(C), pages 288-302.
    15. Nonejad, Nima, 2020. "Crude oil price volatility and equity return predictability: A comparative out-of-sample study," International Review of Financial Analysis, Elsevier, vol. 71(C).
    16. Nima Nonejad, 2021. "Should crude oil price volatility receive more attention than the price of crude oil? An empirical investigation via a large‐scale out‐of‐sample forecast evaluation of US macroeconomic data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 769-791, August.
    17. Jacint Balaguer & Manuel Cantavella-Jordá, 2014. "The Effect of Economic Growth and Oil Price Variations on CO2 Emissions: Evidence from Spain (1874-2011)," Working Papers 2014/22, Economics Department, Universitat Jaume I, Castellón (Spain).
    18. Kilian, Lutz & Vigfusson, Robert J., 2011. "Nonlinearities In The Oil Price–Output Relationship," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 337-363, November.
    19. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    20. Atems, Bebonchu & Kapper, Devin & Lam, Eddery, 2015. "Do exchange rates respond asymmetrically to shocks in the crude oil market?," Energy Economics, Elsevier, vol. 49(C), pages 227-238.
    21. Mensi, Walid & Rehman, Mobeen Ur & Maitra, Debasish & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2021. "Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain," Resources Policy, Elsevier, vol. 72(C).
    22. Pan, Zhiyuan & Wang, Qing & Wang, Yudong & Yang, Li, 2018. "Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model," Energy Economics, Elsevier, vol. 72(C), pages 177-187.
    23. Akdoğan, Kurmaş, 2020. "Fundamentals versus speculation in oil market: The role of asymmetries in price adjustment?," Resources Policy, Elsevier, vol. 67(C).
    24. Nonejad, Nima, 2020. "Crude oil price changes and the United Kingdom real gross domestic product growth rate: An out-of-sample investigation," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    25. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    26. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    27. Francesco Ravazzolo & Philip Rothman, 2015. "Oil-Price Density Forecasts of U.S. GDP," Working Papers No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    28. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).

  39. Jansen, Dennis W. & Li, Qi & Wang, Zijun & Yang, Jian, 2008. "Fiscal policy and asset markets: A semiparametric analysis," Journal of Econometrics, Elsevier, vol. 147(1), pages 141-150, November.

    Cited by:

    1. Qi Gao & Jingping Gu & Paula Hernandez-Verme, 2012. "A Semiparametric Time Trend Varying Coefficients Model: With An Application to Evaluate Credit Rationing in U.S. Credit Market," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 189-210, May.
    2. Hassan Dargahi & Mehdi Hadian, 2022. "Oil shocks, financial stability and implementing macroeconomics and macro‐prudential policies in an oil‐exporting economy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2481-2496, April.
    3. Stoian, Andreea & Iorgulescu, Filip, 2020. "Fiscal policy and stock market efficiency: An ARDL Bounds Testing approach," Economic Modelling, Elsevier, vol. 90(C), pages 406-416.
    4. Luca Agnello & Davide Furceri & Ricardo M. Sousa, 2011. "Fiscal Policy Discretion, Private Spending, and Crisis Episodes," NIPE Working Papers 31/2011, NIPE - Universidade do Minho.
    5. Luca Agnello & Vítor Castro & Ricardo M. Sousa, 2012. "Are there change-points in the likelihood of a fiscal consolidation ending?," NIPE Working Papers 18/2012, NIPE - Universidade do Minho.
    6. Gabriela-Victoria Anghelache & Stela Jakova & Dumitru-Cristian Oanea, 2016. "Fiscal Policy and Capital Market Performance: Evidence from EU Countries from Central and Eastern Europe," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(2), pages 34-43, April.
    7. Eichler, Stefan & Plaga, Timo, 2020. "The economic record of the government and sovereign bond and stock returns around national elections," Journal of Banking & Finance, Elsevier, vol. 118(C).
    8. Pasquale Foresti & Oreste Napolitano, 2016. "On the Stock Markets’ Reactions to Taxation and Public Expenditure," LEQS – LSE 'Europe in Question' Discussion Paper Series 115, European Institute, LSE.
    9. Luca Agnello & Davide Furceri & Ricardo Sousa, 2013. "Discretionary Government Consumption, Private Domestic Demand, and Crisis Episodes," Open Economies Review, Springer, vol. 24(1), pages 79-100, February.
    10. Rossanto Dwi HANDOYO & Mansor JUSOH & Mohd. Azlan SHAH ZAIDI, 2015. "Impact of Monetary Policy and Fiscal Policy on Indonesian Stock Market," Expert Journal of Economics, Sprint Investify, vol. 3(2), pages 113-126.
    11. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2018. "Liquidity and macroeconomic management in emerging markets," Emerging Markets Review, Elsevier, vol. 34(C), pages 1-24.
    12. Boniface Yemba & Yi Duan & Nabaneeta Biswas, 2023. "Government spending news and stock price index," Economics Bulletin, AccessEcon, vol. 43(4), pages 1816-1841.
    13. Bai, Zhidong & Li, Hua & Wong, Wing-Keung, 2013. "The best estimation for high-dimensional Markowitz mean-variance optimization," MPRA Paper 43862, University Library of Munich, Germany.
    14. Stoian, Andreea & Iorgulescu, Filip, 2016. "Do Investors Listen to Fiscal Policy? – Study case Bucharest Stock Exchange," MPRA Paper 72458, University Library of Munich, Germany.
    15. Muhammad Ali Nasir & Milton Yago & Alaa M. Soliman & Junjie Wu, 2016. "Financial stability, wealth effects and optimal macroeconomic policy combination in the United Kingdom: A new-Keynesian dynamic stochastic general equilibrium framework," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1136098-113, December.
    16. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
    17. Gu, Jingping & Li, Qi & Yang, Jian, 2013. "Fiscal deficits and mean reversion in real exchange rates," Economics Letters, Elsevier, vol. 118(2), pages 300-303.
    18. Muhammad Ali Nasir & Alaa M. Soliman, 2014. "Aspects of Macroeconomic Policy Combinations and Their Effects on Financial Markets," Economic Issues Journal Articles, Economic Issues, vol. 19(1), pages 95-118, March.
    19. Muhammad Ali Nasir & Junjie Wu & Milton Yago & Alaa M. Soliman, 2016. "Macroeconomic policy interaction: State dependency and implications for financial stability in UK: A systemic review," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1154283-115, December.
    20. Dandan Liu & Rui Li & Zijun Wang, 2011. "Testing for structural breaks in panel varying coefficient models: with an application to OECD health expenditure," Empirical Economics, Springer, vol. 40(1), pages 95-118, February.
    21. Yuying Sun & Shaoxin Hong & Zongwu Cai, 2023. "Optimal Local Model Averaging for Divergent-Dimensional Functional-Coefficient Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202309, University of Kansas, Department of Economics, revised Sep 2023.
    22. Muhammad Ali Nasir & Alaa M. Soliman & Milton Yago & Junjie Wu, 2016. "Macroeconomic Policies Interaction & the Symmetry of Financial Markets’ Responses," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 5(1), pages 53-69.
    23. Muhammad Ali Nasir & Alaa M. Soliman & Muhammad Shahbaz, 2021. "Operational aspect of the policy coordination for financial stability: role of Jeffreys–Lindley’s paradox in operations research," Annals of Operations Research, Springer, vol. 306(1), pages 57-81, November.
    24. Chatziantoniou, Ioannis & Duffy, David & Filis, George, 2013. "Stock market response to monetary and fiscal policy shocks: Multi-country evidence," Economic Modelling, Elsevier, vol. 30(C), pages 754-769.
    25. Huang, Wanling & Mollick, André Varella & Nguyen, Khoa Huu, 2016. "U.S. stock markets and the role of real interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 231-242.
    26. Haryo Kuncoro, 2018. "A feasibility study of establishing fiscal council in Indonesia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 10(2), pages 137-147, Oktober.
    27. Leung, Pui-Lam & Ng, Hon-Yip & Wong, Wing-Keung, 2012. "An improved estimation to make Markowitz’s portfolio optimization theory users friendly and estimation accurate with application on the US stock market investment," European Journal of Operational Research, Elsevier, vol. 222(1), pages 85-95.

  40. Cai, Zongwu & Li, Qi, 2008. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1321-1342, October.
    See citations under working paper version above.
  41. Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.

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    1. Li, Kui-Wai & Zhou, Xianbo, 2010. "Openness, domestic performance and growth," Economics Letters, Elsevier, vol. 107(1), pages 13-16, April.
    2. Roberto Martino & Phu Nguyen-Van, 2016. "Environmental Kuznets curve and environmental convergence: A unified empirical framework for CO2 emissions," Working Papers of BETA 2016-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Su, Liangjun, 2012. "Semiparametric GMM estimation of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 167(2), pages 543-560.
    4. Hamadi, Malika & Heinen, Andréas, 2015. "Firm performance when ownership is very concentrated: Evidence from a semiparametric panel," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 172-194.
    5. Marcelin, Isaac & Egbendewe, Aklesso Y.G. & Oloufade, Djoulassi K. & Sun, Wei, 2022. "Financial inclusion, bank ownership, and economy performance: Evidence from developing countries," Finance Research Letters, Elsevier, vol. 46(PA).
    6. Bruna, Maria Giuseppina & Đặng, Rey & Houanti, L'hocine & Sahut, Jean-Michel & Simioni, Michel, 2022. "By what way women on corporate boards influence corporate social performance? Evidence from a semiparametric panel model," Finance Research Letters, Elsevier, vol. 49(C).
    7. Benjamin Owusu & Bettina Bökemeier & Alfred Greiner, 2023. "Assessing nonlinearities and heterogeneity in debt sustainability analysis: a panel spline approach," Empirical Economics, Springer, vol. 64(3), pages 1315-1346, March.
    8. Jia Chen & Jiti Gao, 2014. "Semiparametric Model Selection in Panel Data Models with Deterministic Trends and Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 15/14, Monash University, Department of Econometrics and Business Statistics.
    9. Lee, Jungyoon & Robinson, Peter, 2015. "Panel nonparametric regression with fixed effects," LSE Research Online Documents on Economics 61431, London School of Economics and Political Science, LSE Library.
    10. Myrto Kasioumi & Thanasis Stengos, 2020. "The Environmental Kuznets Curve with Recycling: A Partially Linear Semiparametric Approach," JRFM, MDPI, vol. 13(11), pages 1-26, November.
    11. Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
    12. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).
    13. Laté Ayao Lawson & Roberto Martino & Phu Nguyen-Van, 2020. "Environmental convergence and environmental Kuznets curve : A unified empirical framework," Post-Print hal-03098130, HAL.
    14. Ruiqi Liu & Ben Boukai & Zuofeng Shang, 2019. "Statistical Inference on Partially Linear Panel Model under Unobserved Linearity," Papers 1911.08830, arXiv.org.
    15. Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Saha, Bidyut Baran, 2023. "Energy subsidies and energy technology innovation: Policies for polygeneration systems diffusion," Energy, Elsevier, vol. 267(C).
    16. Michael Vogt & Oliver Linton, 2015. "Classification of nonparametric regression functions in heterogeneous panels," CeMMAP working papers 06/15, Institute for Fiscal Studies.
    17. Hu, Xuemei, 2017. "Semi-parametric inference for semi-varying coefficient panel data model with individual effects," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 262-281.
    18. Rodriguez-Poo, Juan M. & Soberón, Alexandra, 2015. "Nonparametric estimation of fixed effects panel data varying coefficient models," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 95-122.
    19. Antonio Musolesi & Massimiliano Mazzanti, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries," Post-Print hal-01123027, HAL.
    20. Shahbaz, Muhammad & Shafiullah, Muhammad & Papavassiliou, Vassilios & Hammoudeh, Shawkat, 2017. "The CO2-Growth nexus revisited: A nonparametric analysis for G7 economies over nearly two centuries," MPRA Paper 79019, University Library of Munich, Germany, revised 07 May 2017.
    21. Yaozhi Xu & Liling Xu, 2023. "The Convergence between Digital Industrialization and Industrial Digitalization and Export Technology Complexity: Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-18, June.
    22. Jungyoon Lee & Peter M Robinson, 2013. "Panel Nonparametric Regression with Fixed Effects," STICERD - Econometrics Paper Series 569, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    23. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    24. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
    25. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    26. Yichen Gao & Kunpeng Li, 2013. "Nonparametric estimation of fixed effects panel data models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(3), pages 679-693, September.
    27. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    28. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    29. Boneva, Lena & Linton, Oliver & Vogt, Michael, 2015. "A semiparametric model for heterogeneous panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 327-345.
    30. Daniel J. Henderson & John A. List & Daniel L. Millimet & Christopher F. Parmeter & Michael K. Price, 2011. "Empirical Implementation of Nonparametric First-Price Auction Models," NBER Working Papers 17095, National Bureau of Economic Research, Inc.
    31. Cheung, Adrian Wai-kong, 2010. "Managerial ownership and performance: A commentary essay," Journal of Business Research, Elsevier, vol. 63(3), pages 292-293, March.
    32. Jia Chen & Jiti Gao & Degui Li, 2011. "Estimation in Partially Linear Single-Index Panel Data Models with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 14/11, Monash University, Department of Econometrics and Business Statistics.
    33. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    34. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
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    58. Eriksen, Michael D. & Kniesner, Thomas J. & Rohlfs, Chris & Sullivan, Ryan, 2016. "Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 54-62.
    59. De Witte, Kristof & Mika, Kortelainen, 2009. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete exogenous variables," MPRA Paper 14034, University Library of Munich, Germany.
    60. Mickaël De Backer & Anouar El Ghouch & Ingrid Van Keilegom, 2020. "Linear censored quantile regression: A novel minimum‐distance approach," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1275-1306, December.
    61. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Working Papers 2020-13, Becker Friedman Institute for Research In Economics.
    62. Zonglin He & Jean D. Opsomer, 2015. "Local polynomial regression with an ordinal covariate," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(4), pages 516-531, December.
    63. Cordero, Jose Manuel & Polo, Cristina & Simancas, Rosa, 2022. "Assessing the efficiency of secondary schools: Evidence from OECD countries participating in PISA 2015," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    64. Jeffrey Racine, 2015. "Mixed data kernel copulas," Empirical Economics, Springer, vol. 48(1), pages 37-59, February.
    65. Norets, Andriy & Pelenis, Justinas, 2022. "Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity," Journal of Econometrics, Elsevier, vol. 230(1), pages 62-82.
    66. Arulampalam, Wiji & Corradi, Valentina & Gutknecht, Daniel, 2021. "Intercept Estimation in Nonlinear Selection Models," IZA Discussion Papers 14364, Institute of Labor Economics (IZA).
    67. Otneim, Håkon & Jullum, Martin & Tjøstheim, Dag, 2020. "Pairwise local Fisher and naive Bayes: Improving two standard discriminants," Journal of Econometrics, Elsevier, vol. 216(1), pages 284-304.
    68. Li, Genyuan & Rabitz, Herschel, 2017. "Relationship between sensitivity indices defined by variance- and covariance-based methods," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 136-157.
    69. Fritz Schiltz & Kristof Witte & Deni Mazrekaj, 2020. "Managerial efficiency and efficiency differentials in adult education: a conditional and bias-corrected efficiency analysis," Annals of Operations Research, Springer, vol. 288(2), pages 529-546, May.
    70. Wolski, Marcin, 2018. "Sovereign risk and corporate cost of borrowing: Evidence from a counterfactual study," EIB Working Papers 2018/05, European Investment Bank (EIB).
    71. Bjørndal, Endre & Bjørndal, Mette & Cullmann, Astrid & Nieswand, Maria, 2018. "Finding the right yardstick: Regulation of electricity networks under heterogeneous environments," European Journal of Operational Research, Elsevier, vol. 265(2), pages 710-722.
    72. Hu, Yanan & Yang, Yaqi & Wang, Chunyu & Tian, Maozai, 2017. "Imputation in nonparametric quantile regression with complex data," Statistics & Probability Letters, Elsevier, vol. 127(C), pages 120-130.
    73. Agasisti, Tommaso & Egorov, Aleksei & Serebrennikov, Pavel, 2023. "Universities’ efficiency and the socioeconomic characteristics of their environment — Evidence from an empirical analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    74. Ye Chen & Liangjun Su & Aman Ullah, 2009. "Functional Coefficient Estimation with Both Categorical and Continuous Data," Working Papers 200909, University of California at Riverside, Department of Economics, revised Jun 2009.
    75. Maasoumi, Esfandiar & Wang, Le, 2017. "What can we learn about the racial gap in the presence of sample selection?," Journal of Econometrics, Elsevier, vol. 199(2), pages 117-130.
    76. Yanqin Fan & Ruixuan Liu, 2015. "Symmetrized Multivariate k -NN Estimators," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 828-848, December.
    77. Mathieu David & Joaquín Alonso-Montesinos & Josselin Le Gal La Salle & Philippe Lauret, 2023. "Probabilistic Solar Forecasts as a Binary Event Using a Sky Camera," Energies, MDPI, vol. 16(20), pages 1-18, October.
    78. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    79. Camilla Mastromarco & Lenka Stastna & Jana Votapkova, 2019. "Efficiency of hospitals in the Czech Republic: Conditional efficiency approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 73-89, February.
    80. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," NBER Working Papers 26795, National Bureau of Economic Research, Inc.
    81. George E. Halkos & Shunsuke Managi, 2017. "Measuring the Effect of Economic Growth on Countries’ Environmental Efficiency: A Conditional Directional Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 753-775, November.
    82. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    83. Nuno Baetas da Silva & João Sousa Andrade, 2016. "The relationship between social transfers and poverty reduction: A nonparametric approach for the EU-27," GEMF Working Papers 2016-09, GEMF, Faculty of Economics, University of Coimbra.
    84. Mammen, Enno & Van Keilegom, Ingrid & Yu, Kyusang, 2013. "Expansion for Moments of Regression Quantiles with Applications to Nonparametric Testing," LIDAM Discussion Papers ISBA 2013027, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    85. Das, Sonali & Racine, Jeffrey S., 2018. "Interactive nonparametric analysis of nonlinear systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 290-301.
    86. Ong C. & Witte K. de, 2013. "Ethnic segregation and heterogeneous preferences of homeowners for housing and neighbourhood characteristics : evidence from the Netherlands," MERIT Working Papers 2013-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    87. Liangjun Su & Xi Qu, 2017. "Specification Test for Spatial Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 572-584, October.
    88. Emmanuel Guerre & Camille Sabbah, 2009. "Uniform Bias Study and Bahadur Representation for Local Polynomial Estimators of the Conditional Quantile Function," Working Papers 648, Queen Mary University of London, School of Economics and Finance.
    89. Jean-Pierre Dubé & Ali Hortaçsu & Joonhwi Joo, 2021. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Marketing Science, INFORMS, vol. 40(4), pages 637-660, July.
    90. Kellner, Ralf & Nagl, Maximilian & Rösch, Daniel, 2022. "Opening the black box – Quantile neural networks for loss given default prediction," Journal of Banking & Finance, Elsevier, vol. 134(C).
    91. Christopher Bruffaerts & Bram De Rock & Catherine Dehon, 2013. "The Research Efficiency of US Universities: a Nonparametric Frontier Modelling Approach," Working Papers ECARES ECARES 2013-31, ULB -- Universite Libre de Bruxelles.
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  43. Wang, Zijun & Yang, Jian & Li, Qi, 2007. "Interest rate linkages in the Eurocurrency market: Contemporaneous and out-of-sample Granger causality tests," Journal of International Money and Finance, Elsevier, vol. 26(1), pages 86-103, February.

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    1. Xiaojie Xu, 2017. "The rolling causal structure between the Chinese stock index and futures," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(4), pages 491-509, November.
    2. Zijun Wang & Andrew J. Rettenmaier, 2008. "Deficits, Explicit Debt, Implicit Debt, and Interest Rates: Some Empirical Evidence," Southern Economic Journal, John Wiley & Sons, vol. 75(1), pages 208-222, July.
    3. Xiaojie Xu, 2019. "Price dynamics in corn cash and futures markets: cointegration, causality, and forecasting through a rolling window approach," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 155-181, June.
    4. Arouri, Mohamed & Jawadi, Fredj & Nguyen, Duc Khuong, 2013. "What can we tell about monetary policy synchronization and interdependence over the 2007–2009 global financial crisis?," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 175-187.
    5. Andrew Rettenmaier & Zijun Wang, 2013. "What determines health: a causal analysis using county level data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(5), pages 821-834, October.
    6. Xiaojie Xu, 2019. "Contemporaneous Causal Orderings of CSI300 and Futures Prices through Directed Acyclic Graphs," Economics Bulletin, AccessEcon, vol. 39(3), pages 2052-2077.
    7. Michael KUEHL, 2008. "Strong Comovements of Exchange Rates: Theoretical and Empirical Cases when Currencies Become the Same Asset," EcoMod2008 23800071, EcoMod.
    8. Ciner, Cetin, 2011. "Eurocurrency interest rate linkages: A frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 498-505, October.
    9. Stelios Bekiros & Massimiliano Marcellino, 2011. "The Multiscale Causal Dynamics of Foreign Exchange Markets," Economics Working Papers ECO2011/23, European University Institute.
    10. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The nonlinear dynamic relationship of exchange rates: Parametric and nonparametric causality testing," Journal of Macroeconomics, Elsevier, vol. 30(4), pages 1641-1650, December.
    11. Yang, Zihui & Zhou, Yinggang, 2018. "Systemic Risk in Global Volatility Spillover Networks: Evidence from Option-implied Volatility Indices," IRTG 1792 Discussion Papers 2018-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    12. Wang, Zijun, 2012. "The causal structure of bond yields," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 93-102.
    13. Pan, Xiongfeng & Uddin, Md. Kamal & Han, Cuicui & Pan, Xianyou, 2019. "Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh," Energy, Elsevier, vol. 171(C), pages 456-464.
    14. Xiaojie Xu, 2018. "Causal structure among US corn futures and regional cash prices in the time and frequency domain," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(13), pages 2455-2480, October.
    15. Nikolaou, Kleopatra & Modugno, Michele, 2009. "The forecasting power of internal yield curve linkages," Working Paper Series 1044, European Central Bank.
    16. Bruce G. Resnick & Gary L. Shoesmith, 2011. "Information Transmission in the World Money Markets," European Financial Management, European Financial Management Association, vol. 17(1), pages 183-200, January.
    17. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
    18. Arouri, Mohamed El Hedi & Lahiani, Amine & Nguyen, Duc Khuong, 2011. "Return and volatility transmission between world oil prices and stock markets of the GCC countries," Economic Modelling, Elsevier, vol. 28(4), pages 1815-1825, July.
    19. Amelie Charles & Olivier Darne, 2009. "Testing for Random Walk Behavior in Euro Exchange Rates," Economie Internationale, CEPII research center, issue 119, pages 25-45.
    20. Yang, Zihui & Zhao, Yongliang, 2014. "Energy consumption, carbon emissions, and economic growth in India: Evidence from directed acyclic graphs," Economic Modelling, Elsevier, vol. 38(C), pages 533-540.
    21. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Uncertainty matters in US financial information spillovers: Evidence from a directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 229-242.
    22. Wang, Zijun, 2010. "Dynamics and causality in industry-specific volatility," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1688-1699, July.
    23. Xiaojie Xu, 2018. "Cointegration and price discovery in US corn cash and futures markets," Empirical Economics, Springer, vol. 55(4), pages 1889-1923, December.
    24. Yang, Jian & Su, Xiaojing & Kolari, James W., 2008. "Do Euro exchange rates follow a martingale? Some out-of-sample evidence," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 729-740, May.

  44. Peter Hall & Qi Li & Jeffrey S. Racine, 2007. "Nonparametric Estimation of Regression Functions in the Presence of Irrelevant Regressors," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 784-789, November.

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    1. Phillip Heiler & Jana Mareckova, 2019. "Shrinkage for Categorical Regressors," Papers 1901.01898, arXiv.org.
    2. Persson, Emma & Häggström, Jenny & Waernbaum, Ingeborg & de Luna, Xavier, 2017. "Data-driven algorithms for dimension reduction in causal inference," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 280-292.
    3. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    4. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    5. Tingting Cheng & Jiti Gao & Xibin Zhang, 2016. "Nonparametric Localized Bandwidth Selection for Kernel Density Estimation," Monash Econometrics and Business Statistics Working Papers 7/16, Monash University, Department of Econometrics and Business Statistics.
    6. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
    7. Cheng Hsiao & Qi Li & Jeff Racine, 2006. "A Consistent Model Specification Test with Mixed Discrete and Continuous Data," IEPR Working Papers 06.47, Institute of Economic Policy Research (IEPR).
    8. Jean Pierre Huiban & Camille Mastromarco & Antonio Musolesi & Michel Simioni, 2016. "The impact of pollution abatement investments on production technology: new insights from frontier analysis," Working Papers hal-01512154, HAL.
    9. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    10. Racine, Jeffrey S. & Li, Kevin, 2017. "Nonparametric conditional quantile estimation: A locally weighted quantile kernel approach," Journal of Econometrics, Elsevier, vol. 201(1), pages 72-94.
    11. Jean Pierre Huiban & Camilla Mastromarco & Antonio Musolesi & Michel Simioni, 2018. "Reconciling the Porter hypothesis with the traditional paradigm about environmental regulation: a nonparametric approach," Post-Print hal-02623725, HAL.
    12. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    13. Sharma, Abhijit & Bailey, Alastair & Fraser, Iain, 2009. "Technology Adoption And Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models," MPRA Paper 15805, University Library of Munich, Germany.
    14. Pérez García Francisco & Tortosa-Ausina Emili & Arribas Fernández Iván, 2009. "The Determinants of International Financial Integration Revisited: The Role of Networks and Geographic Neutrality," Working Papers 201049, Fundacion BBVA / BBVA Foundation.
    15. Daiqiang Zhang, 2021. "Testing Passive Versus Symmetric Beliefs In Contracting With Externalities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 723-767, May.
    16. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2016. "Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors," Econometrics, MDPI, vol. 4(2), pages 1-27, April.
    17. Nadine McCloud & Christopher F. Parmeter, 2017. "Calculating Degrees of Freedom in Multivariate Local Polynomial Regression," Working Papers 2017-14, University of Miami, Department of Economics.
    18. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    19. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    20. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    21. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    22. Leonie Selk & Jan Gertheiss, 2023. "Nonparametric regression and classification with functional, categorical, and mixed covariates," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 519-543, June.
    23. James Bugden & Iain Fraser & Jeffrey S. Racine & Robert Waschik, 2014. "Parametric and Nonparametric Analysis of Tax Changes," Department of Economics Working Papers 2014-02, McMaster University.
    24. Qi Li & Juan Lin & Jeffrey S. Racine, 2012. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Department of Economics Working Papers 2012-10, McMaster University.
    25. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.
    26. Tracey, Marlon R. & Polachek, Solomon, 2018. "Heterogeneous Layoff Effects of the US Short-Time Compensation Program," IZA Discussion Papers 11746, Institute of Labor Economics (IZA).
    27. Han Lin Shang, 2014. "Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 599-615, September.
    28. Paul Koster & Hans Koster, 2013. "Commuters' Preferences for Fast and Reliable Travel," Tinbergen Institute Discussion Papers 13-075/VIII, Tinbergen Institute, revised 30 Apr 2015.
    29. Marijn Verschelde & Marijke D’Haese & Glenn Rayp & Ellen Vandamme, 2013. "Challenging Small-Scale Farming: A Non-Parametric Analysis of the (Inverse) Relationship Between Farm Productivity and Farm Size in Burundi," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 319-342, June.
    30. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    31. Zheng Li & Roderick M. Rejesus & Xiaoyong Zheng, 2021. "Nonparametric Estimation and Inference of Production Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1857-1877, October.
    32. Henderson, Daniel J. & Li, Qi & Parmeter, Christopher F. & Yao, Shuang, 2015. "Gradient-based smoothing parameter selection for nonparametric regression estimation," Journal of Econometrics, Elsevier, vol. 184(2), pages 233-241.
    33. Daniel J. Henderson, 2009. "A Non‐parametric Examination of Capital–Skill Complementarity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 519-538, August.
    34. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    35. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    36. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    37. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2017. "Nonparametric estimation of dynamic discrete choice models for time series data," Computational Statistics & Data Analysis, Elsevier, vol. 108(C), pages 97-120.
    38. Ke-Li Xu & Jui-Chung Yang, 2015. "Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non-stationary Volatility," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 63-86, March.
    39. Henderson, Daniel & Simar, Leopold & Wang, Le, 2013. "Schooling inputs, property tax caps and effciency scores in public schools," LIDAM Discussion Papers ISBA 2013013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    40. Shujie Ma & Jeffrey S. Racine, 2012. "Additive Regression Splines With Irrelevant Categorical and Continuous Regressors," Department of Economics Working Papers 2012-07, McMaster University.
    41. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Varying-coefficient panel data models with partially observed factor structure," Monash Econometrics and Business Statistics Working Papers 1/18, Monash University, Department of Econometrics and Business Statistics.
    42. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    43. Nicolas Gavoille & Marijn Verschelde, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," Post-Print hal-01745350, HAL.
    44. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    45. Guerino Ardizzi & Federico Crudu & Carmelo Petraglia, 2019. "Innovation and Cost Efficiency in the Banking Industry: The Role of Electronic Payments," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(1), February.
    46. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.
    47. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    48. Henderson, Daniel J. & Houtenville, Andrew & Wang, Le, 2017. "The Distribution of Returns to Education for People with Disabilities," IZA Discussion Papers 10747, Institute of Labor Economics (IZA).
    49. Miller, Steve, 2020. "Causal forest estimation of heterogeneous and time-varying environmental policy effects," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    50. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    51. Byeong Park & Léopold Simar & Valentin Zelenyuk, 2015. "Categorical data in local maximum likelihood: theory and applications to productivity analysis," Journal of Productivity Analysis, Springer, vol. 43(2), pages 199-214, April.
    52. Cinzia Daraio & Leopold Simar, 2014. "Efficiency and benchmarking with directional distances. A data driven approach," DIAG Technical Reports 2014-07, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    53. Paul Koster & Hans Koster, 2013. "Analysing Heterogeneity in the Value of Travel Time and Reliability: A Semiparametric Estimation Approach," ERSA conference papers ersa13p1032, European Regional Science Association.
    54. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    55. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    56. Wang, Le, 2012. "Estimating Returns to Education when the IV Sample is Selective," IZA Discussion Papers 7103, Institute of Labor Economics (IZA).
    57. Marcos Sanso-Navarro & Maria Vera-Cabello, 2015. "The effects of knowledge and innovation on regional growth: Nonparametric evidence," ERSA conference papers ersa15p949, European Regional Science Association.
    58. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    59. Johnson, Paul & Papageorgiou, Chris, 2018. "What Remains of Cross-Country Convergence?," MPRA Paper 89355, University Library of Munich, Germany.
    60. Nolwenn Roudaut & Anne Vanhems, 2012. "Explaining firms efficiency in the Ivorian manufacturing sector: a robust nonparametric approach," Journal of Productivity Analysis, Springer, vol. 37(2), pages 155-169, April.
    61. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    62. Lahaye, Jerome & Shaw, Philip, 2014. "Can we reject linearity in an HAR-RV model for the S&P 500? Insights from a nonparametric HAR-RV," Economics Letters, Elsevier, vol. 125(1), pages 43-46.
    63. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
    64. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
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    73. Jeffrey S. Racine & Qi Li & Karen X. Yan, 2017. "Kernel Smoothed Probability Mass Functions for Ordered Datatypes," Department of Economics Working Papers 2017-14, McMaster University.
    74. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
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    79. Shujie Ma & Jeffrey S. Racine & Aman Ullah, 2015. "Nonparametric Regression-Spline Random Effects Models," Department of Economics Working Papers 2015-10, McMaster University.
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    82. Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2008. "Hedonic Price Functions: Guidance On Empirical Specification," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6555, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    83. Pian Chen & Aaron Smith, 2013. "The nonlinear multidimensional relationship between stock returns and the macroeconomy," Applied Economics, Taylor & Francis Journals, vol. 45(35), pages 4985-4999, December.
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    88. Lee, Chi-Chuan & Lee, Chien-Chiang & Chiou, Yan-Yu, 2017. "Insurance activities, globalization, and economic growth: New methods, new evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 155-170.
    89. Bing Xu & Lili Li & Yan Liang & Mohib Ur Rahman, 2019. "Measuring Risk Allocation of Tax Burden for Small and Micro Enterprises," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    90. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    91. Michael S. Delgado & Nadine McCloud, 2017. "Foreign direct investment and the domestic capital stock: the good–bad role of higher institutional quality," Empirical Economics, Springer, vol. 53(4), pages 1587-1637, December.
    92. Ong C. & Witte K. de, 2013. "Ethnic segregation and heterogeneous preferences of homeowners for housing and neighbourhood characteristics : evidence from the Netherlands," MERIT Working Papers 2013-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    93. Liangjun Su & Xi Qu, 2017. "Specification Test for Spatial Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 572-584, October.
    94. Li, Degui & Linton, Oliver & Lu, Zudi, 2015. "A flexible semiparametric forecasting model for time series," Journal of Econometrics, Elsevier, vol. 187(1), pages 345-357.
    95. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.
    96. Chen, Xirong & Li, Degui & Li, Qi & Li, Zheng, 2019. "Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates," Journal of Econometrics, Elsevier, vol. 212(2), pages 433-450.
    97. Li, Dong & Li, Qi, 2010. "Nonparametric/semiparametric estimation and testing of econometric models with data dependent smoothing parameters," Journal of Econometrics, Elsevier, vol. 157(1), pages 179-190, July.
    98. Emir Malikov & Jingfang Zhang & Shunan Zhao & Subal C. Kumbhakar, 2023. "Accounting for Cross-Location Technological Heterogeneity in the Measurement of Operations Efficiency and Productivity," Papers 2302.13430, arXiv.org.

  45. Bachmeier, Lance & Leelahanon, Sittisak & Li, Qi, 2007. "Money Growth And Inflation In The United States," Macroeconomic Dynamics, Cambridge University Press, vol. 11(1), pages 113-127, February.

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    1. Stockhammar, Pär & Österholm, Pär, 2016. "Do Inflation Expectations Granger Cause Inflation?," Working Papers 145, National Institute of Economic Research.
    2. Berger, Helge & Österholm, Pär, 2008. "Does money matter for U.S. inflation? Evidence from Bayesian VARs," Discussion Papers 2008/9, Free University Berlin, School of Business & Economics.
    3. Robert F. Mulligan, 2015. "Roger W. Garrison and the Integration of Austrian and Mainstream Macroeconomics," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 30(Winter 20), pages 59-79.
    4. Berger, Helge & Österholm, Pär, 2007. "Does Money Growth Granger-Cause Inflation in the Euro Area? Evidence from Out-of-Sample Forecasts Using Bayesian VARs," Working Paper Series 2007:30, Uppsala University, Department of Economics.
    5. Estrella, Arturo, 2015. "The Price Puzzle And Var Identification," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1880-1887, December.
    6. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    7. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    8. Mossfeldt, Marcus & Stockhammar, Pär, 2016. "Forecasting Goods and Services Inflation in Sweden," Working Papers 146, National Institute of Economic Research.
    9. Chauvet, Marcelle & Tierney, Heather L. R., 2007. "Real Time Changes in Monetary Policy," MPRA Paper 16199, University Library of Munich, Germany, revised Apr 2009.
    10. Kulaksizoglu, Tamer & Kulaksizoglu, Sebnem, 2009. "The U.S. Excess Money Growth and Inflation Relation in the Long-Run: A Nonlinear Analysis," MPRA Paper 23780, University Library of Munich, Germany.
    11. Berger, Helge & Österholm, Pär, 2008. "Does money growth granger-cause inflation in the Euro Area? Evidence from output-of-sample forecasts using Bayesian VARs," Discussion Papers 2008/10, Free University Berlin, School of Business & Economics.
    12. Binner, J.M. & Tino, P. & Tepper, J. & Anderson, R. & Jones, B. & Kendall, G., 2010. "Does money matter in inflation forecasting?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4793-4808.
    13. Edvinsson, Rodney & Karlsson, Sune & Österholm, Pär, 2023. "Does Money Growth Predict Inflation? Evidence from Vector Autoregressions Using Four Centuries of Data," Working Papers 2023:3, Örebro University, School of Business.

  46. Hsiao, Cheng & Li, Qi & Racine, Jeffrey S., 2007. "A consistent model specification test with mixed discrete and continuous data," Journal of Econometrics, Elsevier, vol. 140(2), pages 802-826, October.
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  47. Desheng Ouyang & Dong Li & Qi Li, 2006. "Cross-validation and non-parametric k nearest-neighbour estimation," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 448-471, November.

    Cited by:

    1. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    2. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," PSE-Ecole d'économie de Paris (Postprint) halshs-00511979, HAL.
    3. Dominique Guegan & Patrick Rakotomarolahy, 2009. "The Multivariate k-Nearest Neighbor Model for Dependent Variables : One-Sided Estimation and Forecasting," Post-Print halshs-00423871, HAL.
    4. David Jacho-Chávez, 2008. "k nearest-neighbor estimation of inverse density weighted expectations," Economics Bulletin, AccessEcon, vol. 3(48), pages 1-6.
    5. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00511979, HAL.
    6. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.
    7. Dominique Guegan & Patrick Rakotomarolahy, 2010. "Alternative methods for forecasting GDP," Post-Print halshs-00505165, HAL.
    8. Emir Malikov & Jingfang Zhang & Shunan Zhao & Subal C. Kumbhakar, 2023. "Accounting for Cross-Location Technological Heterogeneity in the Measurement of Operations Efficiency and Productivity," Papers 2302.13430, arXiv.org.

  48. Fan, Yanqin & Li, Qi & Min, Insik, 2006. "A Nonparametric Bootstrap Test Of Conditional Distributions," Econometric Theory, Cambridge University Press, vol. 22(4), pages 587-613, August.

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    1. Huang, Ta-Cheng & Li, Hongjun & Li, Zheng, 2020. "A modified bootstrap for kernel-based specification test with heavy-tailed data," Economics Letters, Elsevier, vol. 189(C).
    2. Obbey Elamin & Len Gill & Martyn Andrews, 2020. "Insights from kernel conditional-probability estimates into female labour force participation decision in the UK," Empirical Economics, Springer, vol. 58(6), pages 2981-3006, June.
    3. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    4. Chen, Bin & Hong, Yongmiao, 2012. "Testing For The Markov Property In Time Series," Econometric Theory, Cambridge University Press, vol. 28(1), pages 130-178, February.
    5. Chauvet, Marcelle & Tierney, Heather L. R., 2007. "Real Time Changes in Monetary Policy," MPRA Paper 16199, University Library of Munich, Germany, revised Apr 2009.
    6. Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.
    7. Chen, Bin & Hong, Yongmiao, 2014. "A unified approach to validating univariate and multivariate conditional distribution models in time series," Journal of Econometrics, Elsevier, vol. 178(P1), pages 22-44.

  49. Jeffery Racine & Jeffrey Hart & Qi Li, 2006. "Testing the Significance of Categorical Predictor Variables in Nonparametric Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 523-544.

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    1. Wedimu, Mengistu A. & Henningsen, Arne & Czekaj, Tomasz G., 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211900, International Association of Agricultural Economists.
    2. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    3. Myrto Kasioumi & Thanasis Stengos, 2020. "The Environmental Kuznets Curve with Recycling: A Partially Linear Semiparametric Approach," JRFM, MDPI, vol. 13(11), pages 1-26, November.
    4. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    5. Issa J. Dahabreh & Sarah E. Robertson & Lucia C. Petito & Miguel A. Hernán & Jon A. Steingrimsson, 2023. "Efficient and robust methods for causally interpretable meta‐analysis: Transporting inferences from multiple randomized trials to a target population," Biometrics, The International Biometric Society, vol. 79(2), pages 1057-1072, June.
    6. Roberto Duncan, 2015. "Does the US Current Account Show a Symmetric Behavior over the Business Cycle?," Working Papers 51, Peruvian Economic Association.
    7. Roman Matousek & Nickolaos G. Tzeremes, 2021. "The asymmetric impact of human capital on economic growth," Empirical Economics, Springer, vol. 60(3), pages 1309-1334, March.
    8. Pérez García Francisco & Tortosa-Ausina Emili & Arribas Fernández Iván, 2009. "The Determinants of International Financial Integration Revisited: The Role of Networks and Geographic Neutrality," Working Papers 201049, Fundacion BBVA / BBVA Foundation.
    9. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Chuku, Chuku & Onye, Kenneth & Ajah, Hycent, 2015. "Structural and institutional determinants of investment activity in Africa," MPRA Paper 68163, University Library of Munich, Germany.
    11. Hans R. A. Koster & Piet Rietveld & Jos Van Ommeren, 2013. "Historic Amenities, Income and Sorting of Households," SERC Discussion Papers 0124, Centre for Economic Performance, LSE.
    12. Cui, Xia & Lu, Ying & Peng, Heng, 2017. "Estimation of partially linear regression models under the partial consistency property," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 103-121.
    13. Lavergne, Pascal & Maistre, Samuel & Patilea, Valentin, 2014. "A Significance Test for Covariates in Nonparametric Regression," TSE Working Papers 14-502, Toulouse School of Economics (TSE).
    14. Leonie Selk & Jan Gertheiss, 2023. "Nonparametric regression and classification with functional, categorical, and mixed covariates," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 519-543, June.
    15. James Bugden & Iain Fraser & Jeffrey S. Racine & Robert Waschik, 2014. "Parametric and Nonparametric Analysis of Tax Changes," Department of Economics Working Papers 2014-02, McMaster University.
    16. Kwabena Gyimah-Brempong & Jeffrey S. Racine, 2014. "Aid and Economic Growth: A Robust Approach," Department of Economics Working Papers 2014-03, McMaster University.
    17. Halkos, George & Tzeremes, Nickolaos, 2012. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from the UK regions," MPRA Paper 38147, University Library of Munich, Germany.
    18. Halkos, George & Sundström, Aksel & Tzeremes, Nickolaos, 2013. "Environmental performance and quality of governance: A non-parametric analysis of the NUTS 1-regions in France, Germany and the UK," MPRA Paper 48890, University Library of Munich, Germany.
    19. Heidenreich, Anja & Grovermann, Christian & Kadzere, Irene & Egyir, Irene S. & Muriuki, Anne & Bandanaa, Joseph & Clottey, Joseph & Ndungu, John & Blockeel, Johan & Muller, Adrian & Stolze, Matthias &, 2022. "Sustainable intensification pathways in Sub-Saharan Africa: Assessing eco-efficiency of smallholder perennial cash crop production," Agricultural Systems, Elsevier, vol. 195(C).
    20. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    21. Manuel Hernandez & Maximo Torero, 2014. "Parametric versus nonparametric methods in risk scoring: an application to microcredit," Empirical Economics, Springer, vol. 46(3), pages 1057-1079, May.
    22. Marta Degl'Innocenti & Roman Matousek & Nickolaos G Tzeremes, 2018. "Financial centres' competitiveness and economic convergence: Evidence from the European Union regions," Environment and Planning A, , vol. 50(1), pages 133-156, February.
    23. Meng-Shiuh CHANG & Wen WANG & Chih-Chun KUNG, 2015. "Economic effects of the biochar application on rice supply in Taiwan," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(6), pages 284-295.
    24. George Halkos & Nickolaos Tzeremes, 2013. "National culture and eco-efficiency: an application of conditional partial nonparametric frontiers," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(4), pages 423-441, October.
    25. Carl Gaigné & Hans R A Koster & Fabien Moizeau & Jacques-François Thisse, 2022. "Who Lives Where in the City? Amenities, Commuting and Income Sorting," Post-Print halshs-03379541, HAL.
    26. José Manuel Cordero & Daniel Santín & Rosa Simancas, 2017. "Assessing European primary school performance through a conditional nonparametric model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 364-376, April.
    27. Koster, Hans R.A. & Pasidis, Ilias & van Ommeren, Jos, 2019. "Shopping externalities and retail concentration: Evidence from dutch shopping streets," Journal of Urban Economics, Elsevier, vol. 114(C).
    28. Halkos, George & Tzeremes, Nickolaos, 2013. "The effect of electricity consumption from renewable sources on countries’ economic growth levels: Evidence from advanced, emerging and developing economies," MPRA Paper 50630, University Library of Munich, Germany.
    29. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    30. Cassandro Mendes & Olugbenga Adesida, 2013. "Income inequality and economic development: evidence from sub-Saharan African countries," Economics Bulletin, AccessEcon, vol. 33(2), pages 1565-1574.
    31. Tomasz Gerard Czekaj, 2013. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Parametric and Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," IFRO Working Paper 2013/21, University of Copenhagen, Department of Food and Resource Economics.
    32. Abdul Qayyum & Khalid Riaz, 2018. "Incorporating Credit Quality in Bank Efficiency Measurements: A Directional Distance Function Approach," JRFM, MDPI, vol. 11(4), pages 1-19, November.
    33. Ansgar Belke & Clemens Domnick & Daniel Gros, 2016. "Business cycle synchronization in the EMU: Core vs. periphery," ROME Working Papers 201608, ROME Network.
    34. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    35. Byeong Park & Léopold Simar & Valentin Zelenyuk, 2015. "Categorical data in local maximum likelihood: theory and applications to productivity analysis," Journal of Productivity Analysis, Springer, vol. 43(2), pages 199-214, April.
    36. Valeva, Silviya & Hewitt, Mike & Thomas, Barrett W. & Brown, Kenneth G., 2017. "Balancing flexibility and inventory in workforce planning with learning," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 194-207.
    37. Eduardo de Carvalho Andrade & Márcio Laurini, 2010. "New Evidence on the Role of Cognitive Skill in Economic Development," IBMEC RJ Economics Discussion Papers 2010-01, Economics Research Group, IBMEC Business School - Rio de Janeiro.
    38. Áureo de Paula & Xun Tang, 2020. "Testable implications of multiple equilibria in discrete games with correlated types," CeMMAP working papers CWP56/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. Kourtesi, Sofia & De Witte, Kristof & Polymeros, Apostolos, 2016. "Technical Efficiency in the Agricultural Sector - Evidence from a Conditional Quantile-Based Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    40. De Witte, K. & Rogge, N., 2010. "To publish or not to publish? On the aggregation and drivers of research performance," Working Papers 33, Top Institute for Evidence Based Education Research.
    41. Cordero, José Manuel & Alonso-Morán, Edurne & Nuño-Solinis, Roberto & Orueta, Juan F. & Arce, Regina Sauto, 2015. "Efficiency assessment of primary care providers: A conditional nonparametric approach," European Journal of Operational Research, Elsevier, vol. 240(1), pages 235-244.
    42. Huynh, Kim P. & Jacho-Chávez, David T., 2009. "Growth and governance: A nonparametric analysis," Journal of Comparative Economics, Elsevier, vol. 37(1), pages 121-143, March.
    43. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    44. López-Torres, Laura & Johnes, Jill & Elliott, Caroline & Polo, Cristina, 2021. "The effects of competition and collaboration on efficiency in the UK independent school sector," Economic Modelling, Elsevier, vol. 96(C), pages 40-53.
    45. Halkos, George & Tzeremes, Nickolaos, 2012. "Regional economic growth and environmental efficiency in greenhouse emissions: A conditional directional distance function approach," MPRA Paper 40015, University Library of Munich, Germany.
    46. Halkos, George & Tzeremes, Nickolaos, 2012. "Carbon dioxide emissions and governance: A nonparametric analysis for the G-20," MPRA Paper 40387, University Library of Munich, Germany.
    47. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    48. Zouhair Aït Benhamou, 2016. "Fluctuations in emerging economies: regional and global factors," Working Papers hal-04141608, HAL.
    49. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.
    50. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
    51. De Witte, Kristof & Mika, Kortelainen, 2009. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete exogenous variables," MPRA Paper 14034, University Library of Munich, Germany.
    52. Julián Ramajo & José Manuel Cordero & Miguel Ángel Márquez, 2017. "European regional efficiency and geographical externalities: a spatial nonparametric frontier analysis," Journal of Geographical Systems, Springer, vol. 19(4), pages 319-348, October.
    53. Zouhair Aït Benhamou, 2016. "Fluctuations in Emerging Economies: Regional and Global Factors," Research papers & Policy papers 1601, Policy Center for the New South.
    54. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    55. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    56. Hans R. A. Koster & Jos Ommeren & Piet Rietveld, 2014. "Agglomeration Economies and Productivity: A Structural Estimation Approach Using Commercial Rents," Economica, London School of Economics and Political Science, vol. 81(321), pages 63-85, January.
    57. Rong Zhu, 2014. "The impact of major-job mismatch on college graduates' early career earnings: evidence from China," Education Economics, Taylor & Francis Journals, vol. 22(5), pages 511-528, October.
    58. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    59. Bontemps, Christophe & Couture, Stéphane, 2015. "The effects of extreme climatic events on dairy farmers' risk preferences : A nonparametric approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205701, Agricultural and Applied Economics Association.
    60. Henningsen, Geraldine & Henningsen, Arne & Henning, Christian H.C.A., 2011. "Measuring the Influence of Information Networks on Transaction Costs Using a Non-parametric Regression Technique," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114547, European Association of Agricultural Economists.
    61. Dependra Bhatta & Krishna P. Paudel & Kai Liu, 2023. "Factors influencing water conservation practices adoptions by Nepali farmers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10879-10901, October.
    62. Liu, Kai & Zhu, Wenjue & Luo, Mingzhong, 2022. "Land integration and titling policy in China: Institutional barriers and countermeasures," Land Use Policy, Elsevier, vol. 112(C).
    63. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier approach for investigating the Averch-Johnson effect," MPRA Paper 35491, University Library of Munich, Germany.
    64. Czekaj, Tomasz G., 2015. "Measuring the Technical Efficiency of Farms Producing Environmental Output: Semiparametric Estimation of Multi-output Stochastic Ray Production Frontiers," 2015 Conference, August 9-14, 2015, Milan, Italy 211555, International Association of Agricultural Economists.
    65. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
    66. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    67. Thijs Dekker & Paul Koster & Roy Brouwer, 2013. "Changing with the Tide: Semi-Parametric Estimation of Preference Dynamics," Tinbergen Institute Discussion Papers 13-074/VIII, Tinbergen Institute.
    68. Cordero, Jose M. & Salinas-Jiménez, Javier & Salinas-Jiménez, Mª Mar, 2014. "Assessing the level of happiness across countries: A robust frontier approach," MPRA Paper 57784, University Library of Munich, Germany.
    69. Meng-Shiuh Chang & Chih-Chun Kung, 2018. "The greenhouse gas impact of bioenergy in developing economies: Evidence from Taiwan," Energy & Environment, , vol. 29(3), pages 315-332, May.
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    2. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    3. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.

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    3. Thomas Hemmelgarn & Gaëtan Nicodème, 2010. "The 2008 Financial Crisis and Taxation Policy," Working Papers CEB 10-006.RS, ULB -- Universite Libre de Bruxelles.
    4. Priti Dubey & Rishika Shankar, 2020. "Determinants of the Commodity Futures Market Performance: An Indian Perspective," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 21(2), pages 239-257, September.
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    6. Iryna Veryzhenko & Arthur Jonath & Etienne Harb, 2022. "Non-Value-Added Tax to improve market fairness and quality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    7. Sinha, Pankaj & Mathur, Kritika, 2012. "Evolution of security transaction tax in India," MPRA Paper 40165, University Library of Munich, Germany.
    8. Hvozdyk, Lyudmyla & Rustanov, Serik, 2016. "The effect of financial transaction tax on market liquidity and volatility: An Italian perspective," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 62-78.
    9. Peter Gomber & Martin Haferkorn, 2013. "High-Frequency-Trading," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(2), pages 97-99, April.
    10. Cappelletti, Giuseppe & Guazzarotti, Giovanni & Tommasino, Pietro, 2017. "The stock market effects of a securities transaction tax: Quasi-experimental evidence from Italy," Journal of Financial Stability, Elsevier, vol. 31(C), pages 81-92.
    11. Gaffeo, Edoardo & Molinari, Massimo, 2017. "Taxing financial transactions in fundamentally heterogeneous markets," Economic Modelling, Elsevier, vol. 64(C), pages 322-333.
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    13. Capelle-Blancard, Gunther & Havrylchyk, Olena, 2016. "The impact of the French securities transaction tax on market liquidity and volatility," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 166-178.
    14. Yok-Yong Lee & M. H. Yahya & A. M. Bany-Ariffin & S. Aslam, 2018. "Leverage Effect and Switching of Market Efficiency Post Goods and Services Tax (GST) Imposition," International Business Research, Canadian Center of Science and Education, vol. 11(3), pages 162-178, March.
    15. Cano Berlanga, Sebastian & Giménez Gómez, José M. (José Manuel), 2016. "On Chinese stock markets: How have they evolved along time?," Working Papers 2072/267085, Universitat Rovira i Virgili, Department of Economics.
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    33. Veryzhenko, Iryna & Harb, Etienne & Louhichi, Waël & Oriol, Nathalie, 2017. "The impact of the French financial transaction tax on HFT activities and market quality," Economic Modelling, Elsevier, vol. 67(C), pages 307-315.
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    43. Sanjay Sehgal & Tarunika Jain Agrawal, 2019. "Impact of Commodity Transaction Tax on Market Liquidity, Volatility, and Government Revenues: An Empirical Study for India," Vikalpa: The Journal for Decision Makers, , vol. 44(1), pages 12-29, March.
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    45. Andrea Morone & Pasquale Marcello Falcone & Simone Nuzzo & Piergiuseppe Morone, 2020. "Does a ‘financial transaction tax’ drive out information mirages? An experimental analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 793-820, October.
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    49. Alonso, Miguel A. & Rallo, Juan Ramón & Romero, Alberto, 2013. "El efecto de los impuestos a las transacciones financieras en la estabilidad de los mercados de capital. Un debate sin resolver," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(317), pages 207-231, enero-mar.
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    1. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2016. "Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors," Econometrics, MDPI, vol. 4(2), pages 1-27, April.
    2. Zhang, Xibin & Brooks, Robert D. & King, Maxwell L., 2009. "A Bayesian approach to bandwidth selection for multivariate kernel regression with an application to state-price density estimation," Journal of Econometrics, Elsevier, vol. 153(1), pages 21-32, November.
    3. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    4. Li, Zheng & Rejesus, Roderick M. & Zheng, Xiaoyong, 2018. "Nonparametric Estimation and Inference of Production Risk with Categorical Variables," 2018 Annual Meeting, August 5-7, Washington, D.C. 274400, Agricultural and Applied Economics Association.
    5. Offermanns, Christian J., 2014. "On the degree of homogeneity in dynamic heterogeneous panel data models," Discussion Papers 2014/25, Free University Berlin, School of Business & Economics.
    6. Chen, Xirong & Li, Degui & Li, Qi & Li, Zheng, 2019. "Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates," Journal of Econometrics, Elsevier, vol. 212(2), pages 433-450.

  54. Li, Qi & Yang, Jian & Hsiao, Cheng & Chang, Young-Jae, 2005. "The relationship between stock returns and volatility in international stock markets," Journal of Empirical Finance, Elsevier, vol. 12(5), pages 650-665, December.

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    1. Loban, Lidia & Sarto, José Luis & Vicente, Luis, 2021. "Determinants of non-compliant equity funds with EU portfolio concentration limits," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
    2. Chiang, Thomas C., 2021. "Spillovers of U.S. market volatility and monetary policy uncertainty to global stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    3. Dimitriou, Dimitrios & Simos, Theodore, 2011. "The relationship between stock returns and volatility in the seventeen largest international stock markets: A semi-parametric approach," MPRA Paper 37528, University Library of Munich, Germany.
    4. Argha , Leila & Mowlaei , Mohammad & Khezri , Mohsen & Shahabadi , Abolfazl, 2017. "Impact of the Selected Domestic and Foreign Markets Returns on Stock Price in Iran," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 12(4), pages 481-489, October.
    5. Belssing Taruvinga, 2019. "Solving Selected Problems on American Option Pricing with the Method of Lines," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2019.
    6. Chiang, Thomas C., 2019. "Empirical analysis of intertemporal relations between downside risks and expected returns—Evidence from Asian markets," Research in International Business and Finance, Elsevier, vol. 47(C), pages 264-278.
    7. Chen, Xiaoyu & Chiang, Thomas C., 2020. "Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market," Research in International Business and Finance, Elsevier, vol. 53(C).
    8. Fiza Qureshi & Ali M. Kutan & Habib Hussain Khan & Saba Qureshi, 2019. "Equity fund flows, market returns, and market risk: evidence from China," Risk Management, Palgrave Macmillan, vol. 21(1), pages 48-71, March.
    9. Faisal Khan & Saif-Ur-Rehman Khan & Hashim Khan, 2016. "Pricing of Risk, Various Volatility Dynamics and Macroeconomic Exposure of Firm Returns: New Evidence on Age Effect," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 551-561.
    10. Jin, Xiaoye, 2017. "Time-varying return-volatility relation in international stock markets," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 157-173.
    11. Licheng Sun & Liang Meng & Mohammad Najand, 2017. "The Role of U.S. Market on International Risk-Return Tradeoff Relations," The Financial Review, Eastern Finance Association, vol. 52(3), pages 499-526, August.
    12. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2015. "Shifts in volatility driven by large stock market shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 130-147.
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    14. Kolte, Ashutosh & Roy, Jewel Kumar & Vasa, László, 2023. "The impact of unpredictable resource prices and equity volatility in advanced and emerging economies: An econometric and machine learning approach," Resources Policy, Elsevier, vol. 80(C).
    15. Yang, Hu & Wu, Xingcui, 2011. "Semiparametric EGARCH model with the case study of China stock market," Economic Modelling, Elsevier, vol. 28(3), pages 761-766.
    16. Guidi, Francesco, 2008. "Volatility and Long Term Relations in Equity Markets: Empirical Evidence from Germany, Switzerland, and the UK," MPRA Paper 11535, University Library of Munich, Germany.
    17. Ahmed, Mohamed S. & Alhadab, Mohammad, 2020. "Momentum, asymmetric volatility and idiosyncratic risk-momentum relation: Does technology-sector matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 355-371.
    18. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2014. "The Impact of Oil Price Shocks on the Stock Market Return and Volatility Relationship," CAMA Working Papers 2014-71, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    19. Juan M. Londono, 2016. "Bad Bad Contagion," International Finance Discussion Papers 1178, Board of Governors of the Federal Reserve System (U.S.).
    20. Karim, Muhammad Mahmudul & Kawsar, Najmul Haque & Ariff, Mohamed & Masih, Mansur, 2022. "Does implied volatility (or fear index) affect Islamic stock returns and conventional stock returns differently? Wavelet-based granger-causality, asymmetric quantile regression and NARDL approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    21. Ederington, Louis H. & Guan, Wei, 2010. "How asymmetric is U.S. stock market volatility?," Journal of Financial Markets, Elsevier, vol. 13(2), pages 225-248, May.
    22. Lee, Eun Jung & Lee, Yu Kyung & Kim, Ryumi, 2022. "Investor attention and the risk-return trade-off," Finance Research Letters, Elsevier, vol. 47(PA).
    23. Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Alagidede, Imhotep Paul & Gil-Alana, Luis Alberiko, 2022. "Re-examination of risk-return dynamics in international equity markets and the role of policy uncertainty, geopolitical risk and VIX: Evidence using Markov-switching copulas," Finance Research Letters, Elsevier, vol. 47(PA).
    24. Chiang, Thomas C., 2023. "Real stock market returns and inflation: Evidence from uncertainty hypotheses," Finance Research Letters, Elsevier, vol. 53(C).
    25. Salvador, Enrique & Floros, Christos & Arago, Vicent, 2014. "Re-examining the risk–return relationship in Europe: Linear or non-linear trade-off?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 60-77.
    26. Talpsepp, Tõnn & Rieger, Marc Oliver, 2010. "Explaining asymmetric volatility around the world," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 938-956, December.
    27. Eun, Cheol S. & Huang, Wei, 2007. "Asset pricing in China's domestic stock markets: Is there a logic?," Pacific-Basin Finance Journal, Elsevier, vol. 15(5), pages 452-480, November.
    28. Dong, Xinyue & Ma, Rong & Li, Honggang, 2019. "Stock index pegging and extreme markets," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 13-21.
    29. Sabbaghi, Omid, 2011. "Asymmetric volatility and trading volume: The G5 evidence," Global Finance Journal, Elsevier, vol. 22(2), pages 169-181.
    30. Emre BULUT & Ahmed İhsan ŞİMŞEK, 2023. "The Relationship Between the Stock Market Volatility, Liquidity, Exchange Rate Return, and Stock Return During the COVID-19 Period: The case of the BIST 100 Index," Bingol University Journal of Economics and Administrative Sciences, Bingol University, Faculty of Economics and Administrative Sciences, vol. 7(1), pages 121-135, June.
    31. Wissem Daadaa, 2016. "Abnormal Return, Market Reaction around Rating Announcement in Tunisian Stock Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 322-322, July.
    32. Katsuyuki Takahashi & Isao Shoji, 2011. "An empirical analysis of the volatility of the Japanese stock price index: a non-parametric approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1381-1394, June.
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    36. Mensah, Jones Odei & Premaratne, Gamini, 2014. "Dependence patterns among Banking Sectors in Asia: A Copula Approach," MPRA Paper 60119, University Library of Munich, Germany.
    37. Ioannis A. Tampakoudis & Demetres N. Subeniotis & Ioannis G. Kroustalis, 2012. "Modelling volatility during the current financial crisis: an empirical analysis of the US and the UK stock markets," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(3/4), pages 171-194.
    38. Lee, Bong Soo & Paek, Miyoun & Ha, Yeonjeong & Ko, Kwangsoo, 2015. "The dynamics of market volatility, market return, and equity fund flow: International evidence," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 214-227.
    39. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.
    40. Blessing Taruvinga & Boda Kang & Christina Sklibosios Nikitopoulos, 2018. "Pricing American Options with Jumps in Asset and Volatility," Research Paper Series 394, Quantitative Finance Research Centre, University of Technology, Sydney.
    41. Hayashida, Minoru & Ono, Hiroyuki, 2016. "Tax reforms and stock return volatility: The case of Japan," Journal of Asian Economics, Elsevier, vol. 45(C), pages 1-14.
    42. Hui Guo & Christopher J. Neely, 2006. "Investigating the intertemporal risk-return relation in international stock markets with the component GARCH model," Working Papers 2006-006, Federal Reserve Bank of St. Louis.
    43. Jiranyakul, Komain, 2011. "On the Risk-Return Tradeoff in the Stock Exchange of Thailand: New Evidence," MPRA Paper 45583, University Library of Munich, Germany.
    44. Mojisola Olugbode & Ahmed El-Masry & John Pointon, 2014. "Exchange Rate and Interest Rate Exposure of UK Industries Using First-order Autoregressive Exponential GARCH-in-mean (EGARCH-M) Approach," Manchester School, University of Manchester, vol. 82(4), pages 409-464, July.
    45. Bahram Adrangi & Arjun Chatrath, 2022. "Dynamic Responses of Major Pacific Rim Emerging Equity Markets to the US Crude Oil Fear Index (OVX)," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 51-84.
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    52. Thomas C. Chiang, 2019. "Market Efficiency and News Dynamics: Evidence from International Equity Markets," Economies, MDPI, vol. 7(1), pages 1-17, February.
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    54. Francesco PAOLONE, 2014. "Cost Structure Complexity And Stock Prices Volatility: An Analysis Of Possible Relationship Among Italian Listed Companies In The Period Of Crisis," Romanian Journal of Economics, Institute of National Economy, vol. 38(1(47)), pages 107-133, June.
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    1. Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 219-232, July.
    2. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    3. Spyros Vliamos & Nickolaos Tzeremes, 2012. "Factors Influencing Entrepreneurial Process and Firm Start-Ups: Evidence from Central Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(3), pages 250-264, September.
    4. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    5. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    6. Masayuki Hirukawa & Irina Murtazashvili & Artem Prokhorov, 2022. "Uniform convergence rates for nonparametric estimators smoothed by the beta kernel," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1353-1382, September.
    7. Pedro H. C. Sant'Anna & Qi Xu, 2023. "Difference-in-Differences with Compositional Changes," Papers 2304.13925, arXiv.org.
    8. Li, Zheng & Rejesus, Roderick M. & Zheng, Xiaoyong, 2018. "Nonparametric Estimation and Inference of Production Risk with Categorical Variables," 2018 Annual Meeting, August 5-7, Washington, D.C. 274400, Agricultural and Applied Economics Association.

  56. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.

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    1. Phillip Heiler & Jana Mareckova, 2019. "Shrinkage for Categorical Regressors," Papers 1901.01898, arXiv.org.
    2. Persson, Emma & Häggström, Jenny & Waernbaum, Ingeborg & de Luna, Xavier, 2017. "Data-driven algorithms for dimension reduction in causal inference," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 280-292.
    3. Wedimu, Mengistu A. & Henningsen, Arne & Czekaj, Tomasz G., 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211900, International Association of Agricultural Economists.
    4. Halkos, George & Tzeremes, Nickolaos, 2012. "Public sector transparency and countries’ environmental performance: A nonparametric analysis," MPRA Paper 39553, University Library of Munich, Germany.
    5. Kiefer, Nicholas M. & Racine, Jeffrey S., 2008. "The Smooth Colonel Meets the Reverend," Working Papers 08-01, Cornell University, Center for Analytic Economics.
    6. Frédérique Fève & Jean-Pierre Florens & Léopold Simar, 2023. "Proportional incremental cost probability functions and their frontiers," Empirical Economics, Springer, vol. 64(6), pages 2721-2756, June.
    7. Han-Ying Liang & Jong-Il Baek, 2016. "Asymptotic normality of conditional density estimation with left-truncated and dependent data," Statistical Papers, Springer, vol. 57(1), pages 1-20, March.
    8. Yoo, James & Ready, Richard C., 2014. "Preference heterogeneity for renewable energy technology," Energy Economics, Elsevier, vol. 42(C), pages 101-114.
    9. Daraio, Cinzia & Simar, Léopold, 2014. "Directional distances and their robust versions: Computational and testing issues," European Journal of Operational Research, Elsevier, vol. 237(1), pages 358-369.
    10. Tingting Cheng & Jiti Gao & Xibin Zhang, 2016. "Nonparametric Localized Bandwidth Selection for Kernel Density Estimation," Monash Econometrics and Business Statistics Working Papers 7/16, Monash University, Department of Econometrics and Business Statistics.
    11. Kemp, Gordon C.R. & Santos Silva, J.M.C., 2012. "Regression towards the mode," Journal of Econometrics, Elsevier, vol. 170(1), pages 92-101.
    12. Torossian, Léonard & Picheny, Victor & Faivre, Robert & Garivier, Aurélien, 2020. "A review on quantile regression for stochastic computer experiments," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    13. Steven F. Koch & Jeffrey S. Racine, 2013. "Health Care Facility Choice and User Fee Abolition: Regression Discontinuity in a Multinomial Choice Setting," Working Papers 201353, University of Pretoria, Department of Economics.
    14. Cheng Hsiao & Qi Li & Jeff Racine, 2006. "A Consistent Model Specification Test with Mixed Discrete and Continuous Data," IEPR Working Papers 06.47, Institute of Economic Policy Research (IEPR).
    15. Jean Pierre Huiban & Camille Mastromarco & Antonio Musolesi & Michel Simioni, 2016. "The impact of pollution abatement investments on production technology: new insights from frontier analysis," Working Papers hal-01512154, HAL.
    16. Costas Milas & Ruthira Naraidoo, 2009. "Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment," Working Paper series 42_09, Rimini Centre for Economic Analysis.
    17. Matousek, Roman & Tzeremes, Nickolaos G., 2016. "CEO compensation and bank efficiency: An application of conditional nonparametric frontiers," European Journal of Operational Research, Elsevier, vol. 251(1), pages 264-273.
    18. Maasoumi, Esfandiar & Racine, Jeff & Stengos, Thanasis, 2007. "Growth and convergence: A profile of distribution dynamics and mobility," Journal of Econometrics, Elsevier, vol. 136(2), pages 483-508, February.
    19. Gery Geenens & Richard Dunn, 2017. "A nonparametric copula approach to conditional Value-at-Risk," Papers 1712.05527, arXiv.org, revised Oct 2019.
    20. Jianqing Fan, 2004. "A selective overview of nonparametric methods in financial econometrics," Papers math/0411034, arXiv.org.
    21. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
    22. Dudel, Christian, 2014. "A Nonparametric Partially Identified Estimator for Equivalence Scales," Ruhr Economic Papers 526, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    23. Fosgerau, Mogens & Fukuda, Daisuke, 2010. "Valuing travel time variability: Characteristics of the travel time distribution on an urban road," MPRA Paper 24330, University Library of Munich, Germany.
    24. Racine, Jeffrey S. & Li, Kevin, 2017. "Nonparametric conditional quantile estimation: A locally weighted quantile kernel approach," Journal of Econometrics, Elsevier, vol. 201(1), pages 72-94.
    25. Jean Pierre Huiban & Camilla Mastromarco & Antonio Musolesi & Michel Simioni, 2018. "Reconciling the Porter hypothesis with the traditional paradigm about environmental regulation: a nonparametric approach," Post-Print hal-02623725, HAL.
    26. Badin, Luiza & Daraio, Cinzia & Simar, Leopold, 2018. "A Bootstrap Approach for Bandwidth Selection in Estimating Conditional Efficiency Measures," LIDAM Discussion Papers ISBA 2018007, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    27. Min, Insik & Fang, Cheng & Li, Qi, 2004. "Investigation of patterns in food-away-from-home expenditure for China," China Economic Review, Elsevier, vol. 15(4), pages 457-476.
    28. Cinzia Daraio & Leopold Simar & Paul W. Wilson, 2016. "Nonparametric Estimation of Efficiency in the Presence of Environmental Variables," DIAG Technical Reports 2016-02, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    29. Fei Heng & Yanqing Sun & Seunggeun Hyun & Peter B. Gilbert, 2020. "Analysis of the time-varying Cox model for the cause-specific hazard functions with missing causes," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(4), pages 731-760, October.
    30. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.
    31. Degl’Innocenti, Marta & Matousek, Roman & Sevic, Zeljko & Tzeremes, Nickolaos G., 2017. "Bank efficiency and financial centres: Does geographical location matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 188-198.
    32. Bjørndal, Endre & Bjørndal, Mette & Cullmann, Astrid & Nieswand, Maria, 2016. "Finding the Right Yardstick: Regulation under Heterogeneous Environments," Discussion Papers 2016/4, Norwegian School of Economics, Department of Business and Management Science.
    33. Zongyuan Shang & Alan Ker, 2021. "Two generalized nonparametric methods for estimating like densities," Computational Statistics, Springer, vol. 36(1), pages 113-126, March.
    34. Halkos, George & Tzeremes, Nickolaos, 2012. "Economic growth and environmental efficiency: Evidence from U.S. regions," MPRA Paper 42675, University Library of Munich, Germany.
    35. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    36. Michael Creel & Dennis Kristensen, 2015. "On Selection of Statistics for Approximate Bayesian Computing or the Method of Simulated Moments," UFAE and IAE Working Papers 950.15, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 27 Feb 2015.
    37. Kristof De Witte & Fritz Schiltz, 2017. "Measuring and explaining organizational effectiveness of school districts: evidence from a robust and conditional Benefit-of-the-Doubt approach," Working Papers of LEER - Leuven Economics of Education Research 605791, KU Leuven, Faculty of Economics and Business (FEB), LEER - Leuven Economics of Education Research.
    38. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    39. Liang, Han-Ying & Peng, Liang, 2010. "Asymptotic normality and Berry-Esseen results for conditional density estimator with censored and dependent data," Journal of Multivariate Analysis, Elsevier, vol. 101(5), pages 1043-1054, May.
    40. Joeri Smits & Jeffrey S. Racine, 2013. "Testing Exclusion Restrictions in Nonseparable Triangular Models," Department of Economics Working Papers 2013-02, McMaster University.
    41. Badin, Luiza & Daraio, Cinzia & Simar, Leopold, 2014. "Explaining inefficiency in nonparametric production models: the state of the art," LIDAM Reprints ISBA 2014005, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    42. Fan, Minyou & Kearney, Fearghal & Li, Youwei & Liu, Jiadong, 2020. "Momentum and the Cross-Section of Stock Volatility," QBS Working Paper Series 2020/01, Queen's University Belfast, Queen's Business School.
    43. Jose M. Cordero & Cristina Polo & Daniel Santín, 2020. "Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation," Operational Research, Springer, vol. 20(4), pages 2245-2265, December.
    44. Nickolaos G. Tzeremes, 2018. "Financial Development and Countries’ Production Efficiency: A Nonparametric Analysis," JRFM, MDPI, vol. 11(3), pages 1-13, August.
    45. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    46. Badin, Luiza & Daraio, Cinzia & Simar, Leopold, 2010. "Optimal bandwidth selection for conditional efficiency measures: A data-driven approach," LIDAM Reprints ISBA 2010003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    47. Georgios Bampinas & Theodore Panagiotidis & Panagiotis N. Politsidis, 2023. "Sovereign bond and CDS market contagion: A story from the Eurozone crisis," Working Paper series 23-09, Rimini Centre for Economic Analysis.
    48. Qi Li & Juan Lin & Jeffrey S. Racine, 2012. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Department of Economics Working Papers 2012-10, McMaster University.
    49. Daraio, Cinzia & Simar, Leopold & Wilson, Paul, 2015. "Testing the "Separability" Condition in Two-Stage Nonparametric Models of Production," LIDAM Discussion Papers ISBA 2015018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    50. Seok-Oh Jeong & Byeong Park & Léopold Simar, 2010. "Nonparametric conditional efficiency measures: asymptotic properties," Annals of Operations Research, Springer, vol. 173(1), pages 105-122, January.
    51. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    52. Sonali Das & Jeffrey S. Racine, 2016. "Nonparametric Analysis of Complex Nonlinear Systems," Department of Economics Working Papers 2016-07, McMaster University.
    53. Halkos, George & Tzeremes, Nickolaos, 2011. "Measuring regional environmental efficiency: A directional distance function approach," MPRA Paper 32934, University Library of Munich, Germany.
    54. Daniel Kosiorowski, 2015. "Two procedures for robust monitoring of probability distributions of economic data stream induced by depth functions," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 25(1), pages 55-79.
    55. Naraidoo, Ruthira & Paya, Ivan, 2012. "Forecasting monetary policy rules in South Africa," International Journal of Forecasting, Elsevier, vol. 28(2), pages 446-455.
    56. Aït-Sahalia, Yacine & Fan, Jianqing & Peng, Heng, 2009. "Nonparametric Transition-Based Tests for Jump Diffusions," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1102-1116.
    57. Halkos, George & Tzeremes, Nickolaos, 2012. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from the UK regions," MPRA Paper 38147, University Library of Munich, Germany.
    58. Milas, Costas & Naraidoo, Ruthira, 2012. "Financial conditions and nonlinearities in the European Central Bank (ECB) reaction function: In-sample and out-of-sample assessment," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 173-189, January.
    59. George Halkos & Nickolaos Tzeremes, 2012. "Measuring German regions’ environmental efficiency: a directional distance function approach," Letters in Spatial and Resource Sciences, Springer, vol. 5(1), pages 7-16, March.
    60. Chopin, Nicolas & Gadat, Sébastien & Guedj, Benjamin & Guyader, Arnaud & Vernet, Elodie, 2015. "On some recent advances in high dimensional Bayesian Statistics," TSE Working Papers 15-557, Toulouse School of Economics (TSE).
    61. Sungil Kwak & Stephen C. Smith, 2013. "Regional Agricultural Endowments and Shifts of Poverty Trap Equilibria: Evidence from Ethiopian Panel Data," Journal of Development Studies, Taylor & Francis Journals, vol. 49(7), pages 955-975, July.
    62. Halkos, George & Sundström, Aksel & Tzeremes, Nickolaos, 2013. "Environmental performance and quality of governance: A non-parametric analysis of the NUTS 1-regions in France, Germany and the UK," MPRA Paper 48890, University Library of Munich, Germany.
    63. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier modelling for analyzing environmental efficiency and economic growth," MPRA Paper 32839, University Library of Munich, Germany.
    64. Geenens, Gery & Dunn, Richard, 2022. "A nonparametric copula approach to conditional Value-at-Risk," Econometrics and Statistics, Elsevier, vol. 21(C), pages 19-37.
    65. Halkos, George & Tzeremes, Nickolaos, 2011. "Examining the influence of access to improved water and sanitation sources on countries’ economic efficiency," MPRA Paper 30099, University Library of Munich, Germany.
    66. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    67. Simar, Leopold & Wilson, Paul, 2015. "Statistical Approaches for Nonparametric Frontier Models: A Guided Tour," LIDAM Reprints ISBA 2015022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    68. Ruthira Naraidoo & Ivan Paya, 2010. "Forecasting Monetary Rules in South Africa," Working Papers 201007, University of Pretoria, Department of Economics.
    69. Jose M. Cordero & Francisco Pedraja-Chaparro & Elsa C. Pisaflores & Cristina Polo, 2017. "Efficiency assessment of Portuguese municipalities using a conditional nonparametric approach," Journal of Productivity Analysis, Springer, vol. 48(1), pages 1-24, August.
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    72. George Halkos & Nickolaos Tzeremes, 2013. "National culture and eco-efficiency: an application of conditional partial nonparametric frontiers," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(4), pages 423-441, October.
    73. Camilla Mastromarco & Léopold Simar, 2015. "Effect of FDI and Time on Catching Up: New Insights from a Conditional Nonparametric Frontier Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(5), pages 826-847, August.
    74. George Halkos & Aksel Sundström & Nickolaos Tzeremes, 2015. "Regional environmental performance and governance quality: a nonparametric analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 621-644, October.
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    82. Halkos, George & Tzeremes, Nickolaos, 2011. "Does the Kyoto Protocol Agreement matters? An environmental efficiency analysis," MPRA Paper 30652, University Library of Munich, Germany.
    83. Justin Yifu Lin & Célestin Monga & Samuel Standaert, 2019. "The Inclusive Sustainable Transformation Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 47-80, May.
    84. Rong Fu & Peter B. Gilbert, 2017. "Joint modeling of longitudinal and survival data with the Cox model and two-phase sampling," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(1), pages 136-159, January.
    85. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    86. Halkos, George & Tzeremes, Nickolaos, 2013. "Renewable energy consumption and economic efficiency: Evidence from European countries," MPRA Paper 44136, University Library of Munich, Germany.
    87. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    88. Maasoumi, Esfandiar & Racine, Jeffrey S., 2016. "A solution to aggregation and an application to multidimensional ‘well-being’ frontiers," Journal of Econometrics, Elsevier, vol. 191(2), pages 374-383.
    89. Cong Li & Qi Li & Jeffrey Racine & DAIQIANG ZHANG, 2017. "Optimal Model Averaging Of Varying Coefficient Models," Department of Economics Working Papers 2017-01, McMaster University.
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    103. López-Torres, Laura & Johnes, Jill & Elliott, Caroline & Polo, Cristina, 2021. "The effects of competition and collaboration on efficiency in the UK independent school sector," Economic Modelling, Elsevier, vol. 96(C), pages 40-53.
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    147. Cordero, José Manuel & Pedraja-Chaparro, Francisco & Pisaflores, Elsa C. & Polo, Cristina, 2016. "Efficiency assessment of Portuguese municipalities using a conditional nonparametric approach," MPRA Paper 70674, University Library of Munich, Germany.
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    150. Xinyao Kong & Anita Rao, 2021. "Do “Made in USA” Claims Matter?," Marketing Science, INFORMS, vol. 40(4), pages 731-764, July.
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    152. Claire de Oliveira, 2009. "Good Health to All: Reducing Health Inequalities among Children in High- and Low-Income Canadian Families," C.D. Howe Institute Commentary, C.D. Howe Institute, issue 288, May.
    153. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
    154. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.
    155. Baležentis, Tomas & De Witte, Kristof, 2015. "One- and multi-directional conditional efficiency measurement – Efficiency in Lithuanian family farms," European Journal of Operational Research, Elsevier, vol. 245(2), pages 612-622.
    156. QI Li & Jeff Racine, 2004. "Predictor relevance and extramarital affairs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 533-535.
    157. López-Torres, Laura & Prior, Diego, 2022. "Long-term efficiency of public service provision in a context of budget restrictions. An application to the education sector," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    158. Camilla Mastromarco & Lenka Stastna & Jana Votapkova, 2019. "Efficiency of hospitals in the Czech Republic: Conditional efficiency approach," Journal of Productivity Analysis, Springer, vol. 51(1), pages 73-89, February.
    159. Jooyoung Jeon & James W. Taylor, 2012. "Using Conditional Kernel Density Estimation for Wind Power Density Forecasting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(497), pages 66-79, March.
    160. Cordero, José Manuel & Salinas-Jiménez, Javier & Salinas-Jiménez, M Mar, 2017. "Exploring factors affecting the level of happiness across countries: A conditional robust nonparametric frontier analysis," European Journal of Operational Research, Elsevier, vol. 256(2), pages 663-672.
    161. Sophie Dabo-Niang & Sidi Ould-Abdi & Ahmedoune Ould-Abdi & Aliou Diop, 2014. "Consistency of a nonparametric conditional mode estimator for random fields," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(1), pages 1-39, March.
    162. Stephanie Thomas, 2016. "A Standardized Method for the Evaluation of Adherence to Practice Guidelines," Department of Economics Working Papers 2016-14, McMaster University.
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    164. Jeff Racine & Qi Li & Xi Zhu, 2004. "Kernel Estimation of Multivariate Conditional Distributions," Annals of Economics and Finance, Society for AEF, vol. 5(2), pages 211-235, November.
    165. George Halkos & Shunsuke Managi & Nickolaos Tzeremes, 2015. "The effect of natural and man-made disasters on countries’ production efficiency," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-13, December.
    166. Yuanhua Feng & Wolfgang Karl Härdle, 2021. "Uni- and multivariate extensions of the sinh-arcsinh normal distribution applied to distributional regression," Working Papers CIE 142, Paderborn University, CIE Center for International Economics.
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    168. Broadstock, David C. & Matousek, Roman & Meyer, Martin & Tzeremes, Nickolaos G., 2020. "Does corporate social responsibility impact firms' innovation capacity? The indirect link between environmental & social governance implementation and innovation performance," Journal of Business Research, Elsevier, vol. 119(C), pages 99-110.
    169. George E. Halkos & Shunsuke Managi, 2017. "Measuring the Effect of Economic Growth on Countries’ Environmental Efficiency: A Conditional Directional Distance Function Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 753-775, November.
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    171. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    172. Das, Sonali & Racine, Jeffrey S., 2018. "Interactive nonparametric analysis of nonlinear systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 290-301.
    173. Toru Kitagawa & Martin Nybom & Jan Stuhler, 2018. "Measurement error and rank correlations," CeMMAP working papers CWP28/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    174. Ong C. & Witte K. de, 2013. "Ethnic segregation and heterogeneous preferences of homeowners for housing and neighbourhood characteristics : evidence from the Netherlands," MERIT Working Papers 2013-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    175. Diogo Cunha Ferreira & Rui Cunha Marques & Alexandre Morais Nunes, 2021. "Pay for performance in health care: a new best practice tariff-based tool using a log-linear piecewise frontier function and a dual–primal approach for unique solutions," Operational Research, Springer, vol. 21(3), pages 2101-2146, September.
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    177. Halkos, George E. & Tzeremes, Nickolaos G., 2012. "Analyzing the Greek renewable energy sector: A Data Envelopment Analysis approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2884-2893.
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    1. Sharma, Abhijit & Bailey, Alastair & Fraser, Iain, 2009. "Technology Adoption And Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models," MPRA Paper 15805, University Library of Munich, Germany.
    2. Liat Raz-Yurovich, 2012. "Application of the transaction cost approach to households – the demographics of households’ ‘make or buy’ decisions," MPIDR Working Papers WP-2012-025, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Farhat Yusuf & Gordon Brooks, 2010. "Demographics and Consumption Patterns in Urban China," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(1), pages 5-17, February.
    4. Junfei Bai & Caiping Zhang & Fangbin Qiao & Tom Wahl, 2012. "Disaggregating household expenditures on food away from home in Beijing by type of food facility and type of meal," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(1), pages 18-35, January.
    5. Liu, Hongbo & Parton, Kevin A. & Zhou, Zhangyue & Cox, Rod, 2011. "Away-from-Home Meat Consumption in China," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 8(2), pages 1-15, December.
    6. Youfa Wang & Liang Wang & Hong Xue & Weidong Qu, 2016. "A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
    7. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    8. Bai, Junfei & Wahl, Thomas I. & Lohmar, Bryan T. & Huang, Jikun, 2010. "Food away from home in Beijing: Effects of wealth, time and "free" meals," China Economic Review, Elsevier, vol. 21(3), pages 432-441, September.
    9. Liu, Kang Ernest & Chang, Hung-Hao & Chern, Wen S., 2008. "Changes in Fruit and Vegetable Consumption over Time and across Regions in China: A Difference-in-Differences Analysis with Quantile Regression," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6531, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Zheng, Qiujie & Wang, H. Holly, 2016. "Chinese preferences for sustainable attributes for food away from home: A rank-ordered model," China Economic Review, Elsevier, vol. 41(C), pages 148-158.
    11. Fujioka Soichiro & Fukushige Mototsugu, 2019. "The Future of Demand for Food Away from Home and Prepared Food: Cohort and Age Effects in Japan," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 17(1), pages 1-17, May.
    12. Kang Ernest Liu & Hung‐Hao Chang & Wen S. Chern, 2011. "Examining changes in fresh fruit and vegetable consumption over time and across regions in urban China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(3), pages 276-296, September.
    13. Dependra Bhatta & Krishna P. Paudel & Kai Liu, 2023. "Factors influencing water conservation practices adoptions by Nepali farmers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10879-10901, October.
    14. Liu, Haiyan & Wahl, Thomas I. & Bai, Junfei & Seale, James L., Jr., 2012. "Understanding food-away-from-home expenditures in urban China," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124662, Agricultural and Applied Economics Association.
    15. Bai, Junfei & Liu, Haiyan & Wahl, Thomas & Seale, James L. Jr. & Zhang, Caiping, 2015. "Household composition, income, and food-away-from-home expenditure in urban China," 2015 Conference, August 9-14, 2015, Milan, Italy 212050, International Association of Agricultural Economists.
    16. Bai, Junfei & Seale Jr, James L. & Wahl, Thomas I., 2020. "Meat demand in China: to include or not to include meat away from home?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), January.
    17. Liu, Haiyan & Wahl, Thomas I. & Seale, James L., Jr. & Bai, Junfei, 2012. "Household Composition and Food Away From Home Expenditures in Urban China," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 131057, Agricultural and Applied Economics Association.
    18. Liat Raz-Yurovich, 2014. "A Transaction Cost Approach to Outsourcing by Households," Population and Development Review, The Population Council, Inc., vol. 40(2), pages 293-309, June.

  58. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.

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    1. Escobari, Diego & Jindapon, Paan, 2014. "Price discrimination through refund contracts in airlines," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 1-8.
    2. Mehmet Balcilar & Rangan Gupta & Christian Pierdzioch, 2015. "On Exchange-Rate Movements and Gold-Price Fluctuations: Evidence for Gold-Producing Countries from a Nonparametric Causality-in-Quantiles Test," Working Papers 201598, University of Pretoria, Department of Economics.
    3. Asaftei, Gabriel & Parmeter, Christopher F., 2010. "Market power, EU integration and privatization: The case of Romania," Journal of Comparative Economics, Elsevier, vol. 38(3), pages 340-356, September.
    4. Spyridon Boikos & Alberto Bucci & Thanasis Stengos, 2012. "Non-Monotonicity of Fertility in Human Capital Accumulation and Economic Growth," Working Papers 1213, University of Guelph, Department of Economics and Finance.
    5. Wedimu, Mengistu A. & Henningsen, Arne & Czekaj, Tomasz G., 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211900, International Association of Agricultural Economists.
    6. Dewitte, Ruben & Dumont, Michel & Merlevede, Bruno & Rayp, Glenn & Verschelde, Marijn, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1172-1182.
    7. Nithi Sopitpongstorn & Param Silvapulle & Jiti Gao, 2017. "Local logit regression for recovery rate," Monash Econometrics and Business Statistics Working Papers 19/17, Monash University, Department of Econometrics and Business Statistics.
    8. Su, Liangjun, 2012. "Semiparametric GMM estimation of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 167(2), pages 543-560.
    9. Léopold Simar, 2007. "How to improve the performances of DEA/FDH estimators in the presence of noise?," Journal of Productivity Analysis, Springer, vol. 28(3), pages 183-201, December.
    10. Jean Joseph Minviel & Kristof De Witte, 2016. "The influence of public subsidies on farm technical efficiency: A robust conditional nonparametric approach," Working Papers SMART 16-10, INRAE UMR SMART.
    11. Kiefer, Nicholas M. & Racine, Jeffrey S., 2008. "The Smooth Colonel Meets the Reverend," Working Papers 08-01, Cornell University, Center for Analytic Economics.
    12. Daniel J. Henderson & Christopher F. Parmeter, 2009. "Imposing economic constraints in nonparametric regression: survey, implementation, and extension," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 433-469, Emerald Group Publishing Limited.
    13. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    14. Galina Besstremyannaya & Jaak Simm, 2014. "Multi-payer health insurance systems in Central and Eastern Europe: lessons from the Czech Republic, Slovakia, and Russia," Working Papers w0203, Center for Economic and Financial Research (CEFIR).
    15. Koster, Paul R. & Koster, Hans R.A., 2015. "Commuters’ preferences for fast and reliable travel: A semi-parametric estimation approach," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 289-301.
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    277. Difang Huang & Jiti Gao & Tatsushi Oka, 2022. "Semiparametric Single-Index Estimation for Average Treatment Effects," Monash Econometrics and Business Statistics Working Papers 10/22, Monash University, Department of Econometrics and Business Statistics.
    278. Jeff Racine & Qi Li & Xi Zhu, 2004. "Kernel Estimation of Multivariate Conditional Distributions," Annals of Economics and Finance, Society for AEF, vol. 5(2), pages 211-235, November.
    279. Kyle R. White & Leonard A. Stefanski & Yichao Wu, 2017. "Variable Selection in Kernel Regression Using Measurement Error Selection Likelihoods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(520), pages 1587-1597, October.
    280. Panayiotis Tzeremes, 2020. "Productivity, efficiency and firm’s market value: Microeconomic evidence from multinational corporations," Bulletin of Applied Economics, Risk Market Journals, vol. 7(1), pages 95-105.
    281. Yanghao Wang & Metin Çakır, 2021. "Welfare impacts of increasing teff prices on Ethiopian consumers," Agricultural Economics, International Association of Agricultural Economists, vol. 52(2), pages 195-213, March.
    282. Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta & Stephen M. Miller, 2017. "Partisan Conflict and Income Distribution in the United States: A Nonparametric Causality-in-Quantiles Approach," Working papers 2017-11, University of Connecticut, Department of Economics.
    283. Tetsuya Michinaka, 2018. "Approximating Forest Resource Dynamics in Peninsular Malaysia Using Parametric and Nonparametric Models, and Its Implications for Establishing Forest Reference (Emission) Levels under REDD+," Land, MDPI, vol. 7(2), pages 1-16, June.
    284. Roger White & Bedassa Tadesse, 2011. "International Migration and Economic Integration," Books, Edward Elgar Publishing, number 14318.
    285. Czekaj, Tomasz & Henningsen, Arne, 2011. "Using Non-parametric Methods in Econometric Production Analysis: An Application to Polish Family Farms," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114280, European Association of Agricultural Economists.
    286. Sven Blank & Peter H. Egger, 2022. "On the sensitivity of trade costs to services trade restrictions†," The World Economy, Wiley Blackwell, vol. 45(3), pages 592-607, March.
    287. Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute of Labor Economics (IZA).
    288. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    289. Nuno Baetas da Silva & João Sousa Andrade, 2016. "The relationship between social transfers and poverty reduction: A nonparametric approach for the EU-27," GEMF Working Papers 2016-09, GEMF, Faculty of Economics, University of Coimbra.
    290. Michael S. Delgado & Nadine McCloud, 2017. "Foreign direct investment and the domestic capital stock: the good–bad role of higher institutional quality," Empirical Economics, Springer, vol. 53(4), pages 1587-1637, December.
    291. Das, Sonali & Racine, Jeffrey S., 2018. "Interactive nonparametric analysis of nonlinear systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 290-301.
    292. Alessandro Barbarino & Efstathia Bura, 2017. "A Unified Framework for Dimension Reduction in Forecasting," Finance and Economics Discussion Series 2017-004, Board of Governors of the Federal Reserve System (U.S.).
    293. Ong C. & Witte K. de, 2013. "Ethnic segregation and heterogeneous preferences of homeowners for housing and neighbourhood characteristics : evidence from the Netherlands," MERIT Working Papers 2013-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    294. Georgios Fotopoulos, 2012. "Nonlinearities in regional economic growth and convergence: the role of entrepreneurship in the European union regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(3), pages 719-741, June.
    295. Galina Besstremyannaya & Jaak Simm, 2012. "The impact of private health insurers on the quality of Russian regional health systems," Working Papers w0177, New Economic School (NES).
    296. Liangjun Su & Xi Qu, 2017. "Specification Test for Spatial Autoregressive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 572-584, October.
    297. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.
    298. López-Torres, Laura & Nicolini, Rosella & Prior, Diego, 2017. "Does strategic interaction affect demand for school places? A conditional efficiency approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 89-103.
    299. Zapata, Samuel D. & Carpio, Carlos E., 2014. "Distribution-free Methods for Estimation of Willingness to Pay Models Using Discrete Response Valuation Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170453, Agricultural and Applied Economics Association.
    300. Kwabena Gyimah-Brempong & Jeffrey Racine, 2006. "Alcohol availability and crime: a robust approach," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1293-1307.
    301. Lee, Myoung-jae, 2012. "Treatment effects in sample selection models and their nonparametric estimation," Journal of Econometrics, Elsevier, vol. 167(2), pages 317-329.
    302. L. A. Stefanski & Yichao Wu & Kyle White, 2014. "Variable Selection in Nonparametric Classification Via Measurement Error Model Selection Likelihoods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 574-589, June.
    303. Tomasz Gerard Czekaj & Arne Henningsen, 2013. "Panel Data Nonparametric Estimation of Production Risk and Risk Preferences: An Application to Polish Dairy Farms," IFRO Working Paper 2013/6, University of Copenhagen, Department of Food and Resource Economics.
    304. Chen, Xirong & Li, Degui & Li, Qi & Li, Zheng, 2019. "Nonparametric estimation of conditional quantile functions in the presence of irrelevant covariates," Journal of Econometrics, Elsevier, vol. 212(2), pages 433-450.
    305. Zhang, Xue & Sweetman, Arthur, 2018. "Blended capitation and incentives: Fee codes inside and outside the capitated basket," Journal of Health Economics, Elsevier, vol. 60(C), pages 16-29.
    306. Coppejans, Mark, 2003. "Effective nonparametric estimation in the case of severely discretized data," Journal of Econometrics, Elsevier, vol. 117(2), pages 331-367, December.
    307. Steven B. Caudill & James E. Long & Franklin G. Mixon, 2012. "Female athletic participation and income: evidence from a latent class model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(3), pages 477-488, June.
    308. Li, Dong & Li, Qi, 2010. "Nonparametric/semiparametric estimation and testing of econometric models with data dependent smoothing parameters," Journal of Econometrics, Elsevier, vol. 157(1), pages 179-190, July.
    309. Liu, Xiangping & Lynch, Lori, 2006. "Do Agricultural Preservation Programs Affect Farmland Conversion? Evidence from a Propensity Score Matching Estimator," Working Papers 28569, University of Maryland, Department of Agricultural and Resource Economics.

  59. Jeff Racine & Qi Li & Xi Zhu, 2004. "Kernel Estimation of Multivariate Conditional Distributions," Annals of Economics and Finance, Society for AEF, vol. 5(2), pages 211-235, November.

    Cited by:

    1. Qi Gao & Jingping Gu & Paula Hernandez-Verme, 2012. "A Semiparametric Time Trend Varying Coefficients Model: With An Application to Evaluate Credit Rationing in U.S. Credit Market," Annals of Economics and Finance, Society for AEF, vol. 13(1), pages 189-210, May.
    2. Spyros Vliamos & Nickolaos Tzeremes, 2012. "Factors Influencing Entrepreneurial Process and Firm Start-Ups: Evidence from Central Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(3), pages 250-264, September.
    3. Kotlyarova, Yulia & Schafgans, Marcia M.A. & Zinde-Walsh, Victoria, 2021. "Rates of expansions for functional estimators," LSE Research Online Documents on Economics 113436, London School of Economics and Political Science, LSE Library.
    4. Obbey Elamin & Len Gill & Martyn Andrews, 2020. "Insights from kernel conditional-probability estimates into female labour force participation decision in the UK," Empirical Economics, Springer, vol. 58(6), pages 2981-3006, June.
    5. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    6. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    7. Alonzo, Bastien & Tankov, Peter & Drobinski, Philippe & Plougonven, Riwal, 2020. "Probabilistic wind forecasting up to three months ahead using ensemble predictions for geopotential height," International Journal of Forecasting, Elsevier, vol. 36(2), pages 515-530.

  60. QI Li & Jeff Racine, 2004. "Predictor relevance and extramarital affairs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 533-535.

    Cited by:

    1. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.
    2. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    3. Adamopoulou, Effrosyni, 2013. "New facts on infidelity," Economics Letters, Elsevier, vol. 121(3), pages 458-462.
    4. Ian Smith, 2012. "Reinterpreting the economics of extramarital affairs," Review of Economics of the Household, Springer, vol. 10(3), pages 319-343, September.
    5. Lee, Myoung-jae, 2012. "Treatment effects in sample selection models and their nonparametric estimation," Journal of Econometrics, Elsevier, vol. 167(2), pages 317-329.

  61. Simon Clarke & Chang‐Hee Lee & Qi Li, 2004. "Collective Consultation and Industrial Relations in China," British Journal of Industrial Relations, London School of Economics, vol. 42(2), pages 235-254, June.

    Cited by:

    1. Lu Zhang & Tao Yang, 2022. "Worker Activism and Enterprise Union Reform in China: A Case Study of Grassroots Union Agency in the Auto Parts Industry," Development and Change, International Institute of Social Studies, vol. 53(2), pages 396-423, March.
    2. Périsse, Muriel, 2009. "Chine : une transition salariale à hauts risques," Revue de la Régulation - Capitalisme, institutions, pouvoirs, Association Recherche et Régulation, vol. 6.
    3. Chang-Hee Lee & William Brown & Xiaoyi Wen, 2016. "What Sort of Collective Bargaining Is Emerging in China?," British Journal of Industrial Relations, London School of Economics, vol. 54(1), pages 214-236, March.
    4. Jianwei Li & David Metcalf, 2005. "Chinese Unions: Nugatory or Transforming? An 'Alice' Analysis," CEP Discussion Papers dp0708, Centre for Economic Performance, LSE.
    5. Tony Fang & Ying Ge & Youqing Fan, 2019. "Unions and the productivity performance of multinational enterprises: evidence from China," Asian Business & Management, Palgrave Macmillan, vol. 18(4), pages 281-300, September.
    6. Mujun Zhou & Guowei Yan, 2020. "Advocating Workers' Collective Rights: The Prospects and Constraints Facing ‘Collective Bargaining’ NGOs in the Pearl River Delta, 2011–2015," Development and Change, International Institute of Social Studies, vol. 51(4), pages 1044-1066, July.
    7. Fang, Tony & Ge, Ying, 2013. "Chinese Unions and Enterprises Performance," IZA Discussion Papers 7870, Institute of Labor Economics (IZA).
    8. Morley K. Gunderson & Byron Y. Lee & Hui Wang, 2024. "Worker Congresses in China: Do they matter?," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 63(1), pages 43-58, January.
    9. Simon Clarke & Tim Pringle, 2009. "Can party-led trade unions represent their members?," Post-Communist Economies, Taylor & Francis Journals, vol. 21(1), pages 85-101.
    10. Vinod Mishra & Russell Smyth, 2012. "Technological Change and Wages in China: Evidence From Matched Employer-Employee Data," Monash Economics Working Papers 28-12, Monash University, Department of Economics.
    11. Hebel, Jutta & Schucher, Günter, 2006. "The Emergence of a New 'Socialist' Market Labour Regime in China," GIGA Working Papers 39, GIGA German Institute of Global and Area Studies.
    12. Yang Yao & Ninghua Zhong, 2013. "Unions and Workers' Welfare in Chinese Firms," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 633-667.
    13. Lee, Chang Hee., 2009. "Industrial relations and collective bargaining in China," ILO Working Papers 994468183402676, International Labour Organization.
    14. Metcalf, David & Li, Jianwei, 2005. "Chinese unions: nugatory or transforming? An 'Alice' analysis," LSE Research Online Documents on Economics 19879, London School of Economics and Political Science, LSE Library.
    15. Fuxi Wang, 2018. "The perceived effectiveness of democratic management, job performance, and citizenship behavior: evidence from a large Chinese state-owned petrochemical company," Frontiers of Business Research in China, Springer, vol. 12(1), pages 1-25, December.
    16. Leon Laulusa, 2008. "Confucianism and its implications for industrial relations in China," Post-Print halshs-00613739, HAL.
    17. Jie SHEN & John BENSON, 2008. "Tripartite consultation in China: A first step towards collective bargaining?," International Labour Review, International Labour Organization, vol. 147(2-3), pages 231-248, June.
    18. Fang, Tony & Ge, Ying, 2012. "Unions and firm innovation in China: Synergy or strife?," China Economic Review, Elsevier, vol. 23(1), pages 170-180.
    19. Simon Deakin & Colin Fenwick & Prabirjit Sarkar, 2013. "Labour Law & Inclusive Development: the Economic Effects of Industrial Relations Laws in Middle-Income Countries," Working Papers wp447, Centre for Business Research, University of Cambridge.
    20. Chris King-Chi Chan, 2014. "Constrained Labour Agency and the Changing Regulatory Regime in China," Development and Change, International Institute of Social Studies, vol. 45(4), pages 685-709, July.
    21. Chris King-Chi CHAN & Khalid NADVI, 2014. "Changing labour regulations and labour standards in China: Retrospect and challenges," International Labour Review, International Labour Organization, vol. 153(4), pages 513-534, December.
    22. Chang Hee Lee & Mingwei Liu, 2011. "Collective Bargaining in Transition: Measuring the Effects of Collective Voice in China," Chapters, in: Susan Hayter (ed.), The Role of Collective Bargaining in the Global Economy, chapter 8, Edward Elgar Publishing.
    23. Eric Edwin Owusu & Charles Akomea Bonsu & Alfred Owusu & Daniel Ofori & Adwoa Benewaa Brefo-Manuh, 2022. "Assessing the Effects of Entrepreneurial Attributes and Business Practices on the Continuing Existence of Small and Medium Enterprises (SMEs) Using Deming Management Model of Total Quality as a Benchm," Business and Economic Research, Macrothink Institute, vol. 12(4), pages 56-83, December.
    24. Fang Cooke, 2014. "Chinese industrial relations research: In search of a broader analytical framework and representation," Asia Pacific Journal of Management, Springer, vol. 31(3), pages 875-898, September.
    25. Siri Terjesen & Jolanda Hessels, 2009. "Varieties of export-oriented entrepreneurship in Asia," Asia Pacific Journal of Management, Springer, vol. 26(3), pages 537-561, September.
    26. Qingjun WU & Zhaoyang SUN, 2014. "Collective consultation under quota management: China's government-led model of labour relations regulation," International Labour Review, International Labour Organization, vol. 153(4), pages 609-633, December.
    27. Andy Chan & Ed Snape, 2013. "Are cultural values associated with organizational and union commitment and citizenship behavior? A study of Chinese manufacturing workers," Asia Pacific Journal of Management, Springer, vol. 30(1), pages 169-190, March.

  62. Yanqin Fan & Dong Li & Qi Li, 2004. "Nonlinearity in medical expenditures: a new semiparametric approach," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 911-916.

    Cited by:

    1. Hupfeld, Stefan, 2009. "Rich and healthy--better than poor and sick?: An empirical analysis of income, health, and the duration of the pension benefit spell," Journal of Health Economics, Elsevier, vol. 28(2), pages 427-443, March.
    2. Paradiso, Antonio & Kumar, Saten & Lucchetta, Marcella, 2014. "Investigating the US consumer credit determinants using linear and non-linear cointegration techniques," Economic Modelling, Elsevier, vol. 42(C), pages 20-28.
    3. Saten Kumar, 2016. "Is the US Consumer Credit Asymmetric?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 194-215, May.

  63. Li, Qi & Hsiao, Cheng & Zinn, Joel, 2003. "Consistent specification tests for semiparametric/nonparametric models based on series estimation methods," Journal of Econometrics, Elsevier, vol. 112(2), pages 295-325, February.

    Cited by:

    1. Li, Muyi & Zhang, Yanfen, 2022. "Bootstrapping multivariate portmanteau tests for vector autoregressive models with weak assumptions on errors," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
    2. Escanciano, Juan Carlos & Velasco, Carlos, 2003. "Generalized spectral tests for the martingale difference hypothesis," DES - Working Papers. Statistics and Econometrics. WS ws035312, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Cheng Hsiao & Qi Li & Jeff Racine, 2006. "A Consistent Model Specification Test with Mixed Discrete and Continuous Data," IEPR Working Papers 06.47, Institute of Economic Policy Research (IEPR).
    4. Juan Carlos Escanciano, 2005. "Goodness-of-fit Tests for Linear and Non-linear Time Series Models," Faculty Working Papers 02/05, School of Economics and Business Administration, University of Navarra.
    5. Juan Carlos Escanciano, 2004. "Model Checks Using Residual Marked Empirical Processes," Faculty Working Papers 13/04, School of Economics and Business Administration, University of Navarra.
    6. Song, Kyungchul, 2010. "Testing semiparametric conditional moment restrictions using conditional martingale transforms," Journal of Econometrics, Elsevier, vol. 154(1), pages 74-84, January.
    7. Ruoyao Shi, 2021. "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers 202105, University of California at Riverside, Department of Economics.
    8. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    9. Shao, Xiaofeng, 2011. "A bootstrap-assisted spectral test of white noise under unknown dependence," Journal of Econometrics, Elsevier, vol. 162(2), pages 213-224, June.
    10. Li, Fuchun & Tkacz, Greg, 2006. "A consistent bootstrap test for conditional density functions with time-series data," Journal of Econometrics, Elsevier, vol. 133(2), pages 863-886, August.
    11. Manuel Vega-Gordillo & José Luis à lvarez-Arce, 2005. "Heterogeneity In Economic Freedom: Free Clusters Or Free Countries," Faculty Working Papers 08/05, School of Economics and Business Administration, University of Navarra.
    12. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    13. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    14. Escanciano, J. Carlos, 2006. "A Consistent Diagnostic Test For Regression Models Using Projections," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1030-1051, December.
    15. Kim Kyoo il & Petrin Amil, 2015. "Tests for Price Endogeneity in Differentiated Product Models," Journal of Econometric Methods, De Gruyter, vol. 4(1), pages 1-23, January.
    16. Hill Jonathan B., 2013. "Stochastically weighted average conditional moment tests of functional form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 121-139, April.
    17. Zongwu Cai & Qi Li, 2013. "Some Recent Develop- ments on Nonparametric Econometrics," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    18. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
    19. Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.
    20. Felix Abramovich & Italia Feis & Theofanis Sapatinas, 2009. "Optimal testing for additivity in multiple nonparametric regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 61(3), pages 691-714, September.
    21. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    22. Wei Huang & Oliver Linton & Zheng Zhang, 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Papers 2102.08063, arXiv.org, revised Sep 2021.
    23. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal Uniform Convergence Rates and Asymptotic Normality for Series Estimators under Weak Dependence and Weak Conditions," Cowles Foundation Discussion Papers 1976, Cowles Foundation for Research in Economics, Yale University.
    24. Liangjun Su & Stefan Hoderlein & Halbert White, 2013. "Testing Monotonicity in Unobservables with Panel Data," Boston College Working Papers in Economics 892, Boston College Department of Economics, revised 01 Feb 2016.
    25. Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
    26. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    27. Escanciano, Juan Carlos & Song, Kyungchul, 2010. "Testing single-index restrictions with a focus on average derivatives," Journal of Econometrics, Elsevier, vol. 156(2), pages 377-391, June.
    28. Su, Liangjun & Hoshino, Tadao, 2016. "Sieve instrumental variable quantile regression estimation of functional coefficient models," Journal of Econometrics, Elsevier, vol. 191(1), pages 231-254.
    29. Ai, Chunrong & Linton, Oliver & Zhang, Zheng, 2022. "Estimation and inference for the counterfactual distribution and quantile functions in continuous treatment models," Journal of Econometrics, Elsevier, vol. 228(1), pages 39-61.
    30. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    31. Xiaohong Chen & Timothy M. Christensen, 2014. "Optimal uniform convergence rates and asymptotic normality for series estimators under weak dependence and weak conditions," CeMMAP working papers 46/14, Institute for Fiscal Studies.
    32. Delgado, Miguel A. & Carlos Escanciano, J., 2007. "Nonparametric tests for conditional symmetry in dynamic models," Journal of Econometrics, Elsevier, vol. 141(2), pages 652-682, December.
    33. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.

  64. Li, Qi & Racine, Jeff, 2003. "Nonparametric estimation of distributions with categorical and continuous data," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 266-292, August.

    Cited by:

    1. Phillip Heiler & Jana Mareckova, 2019. "Shrinkage for Categorical Regressors," Papers 1901.01898, arXiv.org.
    2. Wedimu, Mengistu A. & Henningsen, Arne & Czekaj, Tomasz G., 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211900, International Association of Agricultural Economists.
    3. Kiefer, Nicholas M. & Racine, Jeffrey S., 2008. "The Smooth Colonel Meets the Reverend," Working Papers 08-01, Cornell University, Center for Analytic Economics.
    4. Galina Besstremyannaya & Jaak Simm, 2014. "Multi-payer health insurance systems in Central and Eastern Europe: lessons from the Czech Republic, Slovakia, and Russia," Working Papers w0203, Center for Economic and Financial Research (CEFIR).
    5. Steven F. Koch & Jeffrey S. Racine, 2013. "Health Care Facility Choice and User Fee Abolition: Regression Discontinuity in a Multinomial Choice Setting," Working Papers 201353, University of Pretoria, Department of Economics.
    6. Gijbels, Irène & Omelka, Marek & Veraverbeke, Noël, 2021. "Omnibus test for covariate effects in conditional copula models," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    7. Maasoumi, Esfandiar & Racine, Jeff & Stengos, Thanasis, 2007. "Growth and convergence: A profile of distribution dynamics and mobility," Journal of Econometrics, Elsevier, vol. 136(2), pages 483-508, February.
    8. Hitzschke, Stephan, 2011. "The optimal size of German cities: An efficiency analysis perspective," Darmstadt Discussion Papers in Economics 202, Darmstadt University of Technology, Department of Law and Economics.
    9. Nagler, Thomas, 2018. "A generic approach to nonparametric function estimation with mixed data," Statistics & Probability Letters, Elsevier, vol. 137(C), pages 326-330.
    10. Kim, Junyung & Shah, Asad Ullah Amin & Kang, Hyun Gook, 2020. "Dynamic risk assessment with bayesian network and clustering analysis," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    11. Daiqiang Zhang, 2021. "Testing Passive Versus Symmetric Beliefs In Contracting With Externalities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 723-767, May.
    12. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2016. "Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors," Econometrics, MDPI, vol. 4(2), pages 1-27, April.
    13. Emmanuel Hagenimana & Song Lixin & Patrick Kandege, 2018. "Study of nonparametric estimation details of instant system availability average," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 467-481, April.
    14. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    15. Kirschstein, T. & Liebscher, S. & Porzio, G.C. & Ragozini, G., 2016. "Minimum volume peeling: A robust nonparametric estimator of the multivariate mode," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 456-468.
    16. Dan A. Black & Jeffrey Smith, 2003. "How Robust is the Evidence on the Effects of College Quality? Evidence From Matching," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20033, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    17. Stefan Rass, 2017. "On Game-Theoretic Risk Management (Part Three) - Modeling and Applications," Papers 1711.00708, arXiv.org.
    18. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    19. Li, Qi & Ouyang, Desheng, 2005. "Uniform convergence rate of kernel estimation with mixed categorical and continuous data," Economics Letters, Elsevier, vol. 86(2), pages 291-296, February.
    20. Spyros Vliamos & Nickolaos Tzeremes, 2012. "Factors Influencing Entrepreneurial Process and Firm Start-Ups: Evidence from Central Greece," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(3), pages 250-264, September.
    21. Zheng Li & Roderick M. Rejesus & Xiaoyong Zheng, 2021. "Nonparametric Estimation and Inference of Production Risk," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1857-1877, October.
    22. Kazianga, Harounan, 2004. "Schooling Returns for Wage Earners in Burkina Faso: Evidence from the 1994 and 1998 National Surveys," Center Discussion Papers 28388, Yale University, Economic Growth Center.
    23. Antonio Fidalgo & Alberto Holly & Marco Pecoraro & Philippe Wanner, 2016. "A nonparametric analysis of the healthy immigrant effect," IRENE Working Papers 16-15, IRENE Institute of Economic Research.
    24. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    25. Guohua Feng & Keith R. McLaren & Ou Yang & Xiaohui Zhang & Xueyan Zhao, 2019. "The impact of environmental policy stringency on industrial productivity growth: A semi-parametric study of OECD countries," Melbourne Institute Working Paper Series wp2019n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    26. Canavire Bacarreza, Gustavo J. & Carvajal-Osorio, Luis C., 2018. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," IZA Discussion Papers 11584, Institute of Labor Economics (IZA).
    27. Obbey Elamin & Len Gill & Martyn Andrews, 2020. "Insights from kernel conditional-probability estimates into female labour force participation decision in the UK," Empirical Economics, Springer, vol. 58(6), pages 2981-3006, June.
    28. Yingying Dong & Arthur Lewbel, 2009. "Nonparametric Identification of a Binary Random Factor in Cross Section Data," Boston College Working Papers in Economics 707, Boston College Department of Economics, revised 01 Jul 2010.
    29. Thomas R., 2010. "Conditional Cash Transfers to Improve Education and Health: An Ex ante Evaluation of Red de Proteccion Social, Nicaragua," Health, Econometrics and Data Group (HEDG) Working Papers 10/04, HEDG, c/o Department of Economics, University of York.
    30. Besstremyannaya, Galina, 2015. "Measuring the effect of health insurance companies on the quality of healthcare systems with kernel and parametric regressions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 3-20.
    31. Arthur Lewbel & Xun Lu & Liangjun Su, 2012. "Specification Testing for Transformation Models with an Application to Generalized Accelerated Failure-time Models," Boston College Working Papers in Economics 817, Boston College Department of Economics, revised 01 May 2013.
    32. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "The measurement of asset management performance of water companies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    33. Shaw, Philip, 2014. "A nonparametric approach to solving a simple one-sector stochastic growth model," Economics Letters, Elsevier, vol. 125(3), pages 447-450.
    34. Chi-Yang Chu & Daniel J. Henderson & Christopher F. Parmeter, 2015. "Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data," Econometrics, MDPI, vol. 3(2), pages 1-16, March.
    35. Galina Besstremyannaya, 2014. "Urban inequity in the performance of social health insurance system: evidence from Russian regions," Working Papers w0204, Center for Economic and Financial Research (CEFIR).
    36. Olbrecht, Alexandre, 2009. "Do academically deficient scholarship athletes earn higher wages subsequent to graduation?," Economics of Education Review, Elsevier, vol. 28(5), pages 611-619, October.
    37. Ordás Criado, Carlos & Valente, Simone & Stengos, Thanasis, 2009. "Growth and the pollution convergence hypothesis: A nonparametric approach," MPRA Paper 17492, University Library of Munich, Germany.
    38. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    39. Bontemps, Christophe & Racine, Jeffrey S. & Simioni, Michel, 2011. "Nonparametric vs parametric binary choice models: An empirical investigation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 116005, European Association of Agricultural Economists.
    40. Mergoni, Anna & D'Inverno, Giovanna & Carosi, Laura, 2022. "A composite indicator for measuring the environmental performance of water, wastewater, and solid waste utilities," Utilities Policy, Elsevier, vol. 74(C).
    41. Yong Liu & Alan P. Ker, 2021. "Simultaneous borrowing of information across space and time for pricing insurance contracts: An application to rating crop insurance policies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 231-257, March.
    42. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.
    43. Huynh, Kim P. & Jacho-Chávez, David T., 2009. "Growth and governance: A nonparametric analysis," Journal of Comparative Economics, Elsevier, vol. 37(1), pages 121-143, March.
    44. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    45. Andriy Norets & Justinas Pelenis, 2022. "Adaptive Bayesian Estimation of Discrete‐Continuous Distributions Under Smoothness and Sparsity," Econometrica, Econometric Society, vol. 90(3), pages 1355-1377, May.
    46. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    47. Liu, Y. & Ker, A., 2018. "Is There Too Much History in Historical Yield Data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277293, International Association of Agricultural Economists.
    48. Lee, Andrew C. & Kim, Man-Keun, 2011. "Captive Supply Impact On The U.S. Fed Cattle Price: An Application Of Nonparametric Analysis," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 34(4), pages 1-13, October.
    49. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    50. Hitzschke, Stephan, 2011. "The Optimal Size of German Cities An Efficiency Analysis Perspective," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 50741, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    51. Anil Kumar, 2006. "Nonparametric conditional density estimation of labour force participation," Applied Economics Letters, Taylor & Francis Journals, vol. 13(13), pages 835-841.
    52. Stefan Sperlich, 2022. "Comments on: hybrid semiparametric Bayesian networks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 335-339, June.
    53. Man, Georg, 2014. "Political competition and economic growth: A nonlinear relationship?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 287-302.
    54. Jeffrey Racine, 2008. "Nonparametric econometrics: a primer (in Russian)," Quantile, Quantile, issue 4, pages 7-56, March.
    55. Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
    56. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "Performance analytics for regulation in retail water utilities: Guiding asset management by identifying peers and targets," Utilities Policy, Elsevier, vol. 82(C).
    57. Li, Zheng & Rejesus, Roderick M. & Zheng, Xiaoyong, 2018. "Nonparametric Estimation and Inference of Production Risk with Categorical Variables," 2018 Annual Meeting, August 5-7, Washington, D.C. 274400, Agricultural and Applied Economics Association.
    58. Galina Besstremyannaya & Jaak Simm, 2014. "Multi-payer health insurance systems in Central and Eastern Europe: lessons from the Czech Republic, Slovakia, and Russia," Working Papers w0203, New Economic School (NES).
    59. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    60. Laura Liu & Alexandre Poirier & Ji-Liang Shiu, 2021. "Identification and Estimation of Partial Effects in Nonlinear Semiparametric Panel Models," Papers 2105.12891, arXiv.org, revised Dec 2023.
    61. Sun, Yiguo, 2006. "A Consistent Nonparametric Equality Test Of Conditional Quantile Functions," Econometric Theory, Cambridge University Press, vol. 22(4), pages 614-632, August.
    62. Jeffrey Racine, 2015. "Mixed data kernel copulas," Empirical Economics, Springer, vol. 48(1), pages 37-59, February.
    63. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    64. Escanciano, Juan Carlos & Song, Kyungchul, 2010. "Testing single-index restrictions with a focus on average derivatives," Journal of Econometrics, Elsevier, vol. 156(2), pages 377-391, June.
    65. Efromovich, Sam, 2011. "Nonparametric estimation of the anisotropic probability density of mixed variables," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 468-481, March.
    66. Heiler, Phillip & Mareckova, Jana, 2021. "Shrinkage for categorical regressors," Journal of Econometrics, Elsevier, vol. 223(1), pages 161-189.
    67. Dong, Hao & Millimet, Daniel L., 2020. "Propensity Score Weighting with Mismeasured Covariates: An Application to Two Financial Literacy Interventions," IZA Discussion Papers 13893, Institute of Labor Economics (IZA).
    68. Thanasis Stengos & Brennan S. Thompson & Ximing Wu, 2009. "The Evolution of the Conditional Joint Distribution of Life Expectancy and Per Capita Income Growth," Working Papers 0901, University of Guelph, Department of Economics and Finance.
    69. Takayuki Toda & Ayako Wakano & Takahiro Hoshino, 2019. "Regression Discontinuity Design with Multiple Groups for Heterogeneous Causal Effect Estimation," Papers 1905.04443, arXiv.org.
    70. Laura Borrajo & Ricardo Cao, 2021. "Nonparametric estimation for big-but-biased data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(4), pages 861-883, December.
    71. Byunghoon Kim & Young-Seon Jeong & Myong K. Jeong, 2021. "New multivariate kernel density estimator for uncertain data classification," Annals of Operations Research, Springer, vol. 303(1), pages 413-431, August.
    72. James Taylor & Jochen Einbeck, 2013. "Challenging the curse of dimensionality in multivariate local linear regression," Computational Statistics, Springer, vol. 28(3), pages 955-976, June.
    73. Gordon Anderson & Kinda Hachem, 2013. "Institutions and Economic Outcomes: A Dominance-Based Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 164-182, January.
    74. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.
    75. Kevin L. McKinney & Andrew S. Green & Lars Vilhuber & John M. Abowd, 2017. "Total Error and Variability Measures with Integrated Disclosure Limitation for Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in On The Map," Working Papers 17-71, Center for Economic Studies, U.S. Census Bureau.
    76. QI Li & Jeff Racine, 2004. "Predictor relevance and extramarital affairs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 533-535.
    77. C. W. Granger & E. Maasoumi & J. Racine, 2004. "A Dependence Metric for Possibly Nonlinear Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(5), pages 649-669, September.
    78. Stephanie Thomas, 2016. "A Standardized Method for the Evaluation of Adherence to Practice Guidelines," Department of Economics Working Papers 2016-14, McMaster University.
    79. Jeff Racine & Qi Li & Xi Zhu, 2004. "Kernel Estimation of Multivariate Conditional Distributions," Annals of Economics and Finance, Society for AEF, vol. 5(2), pages 211-235, November.
    80. Zinde-Walsh, Victoria, 2008. "Kernel Estimation When Density May Not Exist," Econometric Theory, Cambridge University Press, vol. 24(3), pages 696-725, June.
    81. Nuno Baetas da Silva & João Sousa Andrade, 2016. "The relationship between social transfers and poverty reduction: A nonparametric approach for the EU-27," GEMF Working Papers 2016-09, GEMF, Faculty of Economics, University of Coimbra.
    82. Thomas, R, 2011. "Using a Semiparametric Estimator to Forecast Education Outcomes in Nicaragua's Red de Proteccion Social," Health, Econometrics and Data Group (HEDG) Working Papers 11/02, HEDG, c/o Department of Economics, University of York.
    83. Kwabena Gyimah-Brempong & Jeffrey Racine, 2006. "Alcohol availability and crime: a robust approach," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1293-1307.
    84. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.

  65. Baltagi, Badi H. & Li, Qi, 2002. "On instrumental variable estimation of semiparametric dynamic panel data models," Economics Letters, Elsevier, vol. 76(1), pages 1-9, June.

    Cited by:

    1. Roberto Martino & Phu Nguyen-Van, 2016. "Environmental Kuznets curve and environmental convergence: A unified empirical framework for CO2 emissions," Working Papers of BETA 2016-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Ricardo Martin & Alex Segura-Ubiergo, 2005. "Fiscal Discipline and Social Spending in IMF-supported Programs," Public Economics 0504012, University Library of Munich, Germany.
    3. Ai, Chunrong & Chen, Xiaohong, 2007. "Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables," Journal of Econometrics, Elsevier, vol. 141(1), pages 5-43, November.
    4. Cohen, Jeffrey P. & Danko, Joseph J. & Yang, Ke, 2019. "Proximity to a water supply reservoir and dams: Is there spatial heterogeneity in the effects on housing prices?," Journal of Housing Economics, Elsevier, vol. 43(C), pages 14-22.
    5. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    6. Laté Ayao Lawson & Roberto Martino & Phu Nguyen-Van, 2020. "Environmental convergence and environmental Kuznets curve : A unified empirical framework," Post-Print hal-03098130, HAL.
    7. Konrad Lyncker & Rasmus Thoennessen, 2017. "Regional club convergence in the EU: evidence from a panel data analysis," Empirical Economics, Springer, vol. 52(2), pages 525-553, March.
    8. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    9. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    10. Ricardo Martin & Alex Segura-Ubiergo, 2005. "Social Spending in IMF-supported Programs," Public Economics 0504011, University Library of Munich, Germany.
    11. Cavallaro, Eleonora & Villani, Ilaria, 2021. "Real income convergence and the patterns of financial integration in the EU," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    12. Angelo Castaldo & Anna Rita Germani & Alessia Marrocco & Marco Forti, 2022. "Drivers and frictions of workplace accidents: an empirical investigation of cross-country European heterogeneity," Public Finance Research Papers 55, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.
    13. Arfat Ahmad Sofi & Subash Sasidharan & Mohammad Younus Bhat, 2023. "Economic growth and club convergence: Is there a neighbour's effect?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2475-2494, July.
    14. Cavallaro, Eleonora & Villani, Ilaria, 2022. "Beyond financial deepening: Rethinking the finance-growth relationship in an uneven world," Economic Modelling, Elsevier, vol. 116(C).
    15. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
    16. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    17. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
    18. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    19. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    20. Cai, Zongwu & Li, Qi, 2008. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1321-1342, October.
    21. Polemis, Michael L. & Tsionas, Mike G., 2016. "An alternative semiparametric approach to the modelling of asymmetric gasoline price adjustment," Energy Economics, Elsevier, vol. 56(C), pages 384-388.
    22. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
    23. Tarverdi, Yashar & Saha, Shrabani & Campbell, Neil, 2019. "Governance, democracy and development," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 220-233.
    24. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.
    25. Cohen, Jeffrey P. & Osleeb, Jeffrey P. & Yang, Ke, 2014. "Semi-parametric regression models and economies of scale in the presence of an endogenous variable," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 252-261.

  66. Li, Qi & Wooldridge, Jeffrey M., 2002. "Semiparametric Estimation Of Partially Linear Models For Dependent Data With Generated Regressors," Econometric Theory, Cambridge University Press, vol. 18(3), pages 625-645, June.

    Cited by:

    1. Giulia BETTIN & Riccardo LUCCHETTI & Alberto ZAZZARO, 2011. "Endogeneity and sample selection in a model for remittances," Working Papers 361, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    2. Andros Kourtellos & Thanasis Stengos & Chih Ming Tan, 2009. "Structural Threshold Regression," Working Papers 0907, University of Guelph, Department of Economics and Finance.
    3. Dennis Kristensen, 2009. "Semiparametric modelling and estimation (in Russian)," Quantile, Quantile, issue 7, pages 53-83, September.
    4. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    5. Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016. "Semiparametric Estimation With Generated Covariates," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1140-1177, October.
    6. Dennis Kristensen, 2008. "Uniform Convergence Rates of Kernel Estimators with Heterogenous, Dependent Data," CREATES Research Papers 2008-37, Department of Economics and Business Economics, Aarhus University.
    7. Patrick Saart & Jiti Gao & Nam Hyun Kim, 2014. "Semiparametric methods in nonlinear time series analysis: a selective review," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(1), pages 141-169, March.
    8. Francesco Bravo & Ba M. Chu & David T. Jacho-Chávez, 2017. "Semiparametric estimation of moment condition models with weakly dependent data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 29(1), pages 108-136, January.
    9. Aradillas-López, Andrés, 2019. "Computing semiparametric efficiency bounds in linear models with nonparametric regressors," Economics Letters, Elsevier, vol. 185(C).
    10. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    11. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    12. Jinyong Hahn & Geert Ridder, 2010. "The Asymptotic Variance of Semi-parametric Estimators with Generated Regressors," Textos para discussão 575, Department of Economics PUC-Rio (Brazil).
    13. Fan, Jianqing & Xue, Lingzhou & Yao, Jiawei, 2017. "Sufficient forecasting using factor models," Journal of Econometrics, Elsevier, vol. 201(2), pages 292-306.
    14. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
    15. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
    16. Wei Chen & Paul Hribar & Sam Melessa, 2023. "Standard Error Biases When Using Generated Regressors in Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 61(2), pages 531-569, May.
    17. Mealli, Fabrizia & Pacini, Barbara, 2008. "Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 507-516, December.
    18. Jinyong Hahn & Zhipeng Liao & Geert Ridder & Ruoyao Shi, 2021. "The Influence Function of Semiparametric Two-step Estimators with Estimated Control Variables," Working Papers 202202, University of California at Riverside, Department of Economics.
    19. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    20. Aurora Galego & João Pereira, 2010. "Evidence On Gender Wage Discrimination In Portugal: Parametric And Semi‐Parametric Approaches," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(4), pages 651-666, December.
    21. Insik Min & Sheng jang Sheu & Zijun Wang, 2003. "A Monte Carlo Comparison of Various Semiparametric Type-3 Tobit Estimators," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 125-136, May.
    22. Kamhon Kan & Chihwa Kao, 2005. "Simulation-Based Two-Step Estimation with Endogenous Regressors," Center for Policy Research Working Papers 76, Center for Policy Research, Maxwell School, Syracuse University.
    23. Su, Liangjun & Ullah, Aman, 2008. "Local polynomial estimation of nonparametric simultaneous equations models," Journal of Econometrics, Elsevier, vol. 144(1), pages 193-218, May.
    24. Kim, Namhyun & W. Saart, Patrick, 2021. "Estimation in partially linear semiparametric models with parametric and/or nonparametric endogeneity," Cardiff Economics Working Papers E2021/9, Cardiff University, Cardiff Business School, Economics Section.
    25. Maki, Daiki, 2003. "Nonparametric cointegration analysis of the nominal interest rate and expected inflation rate," Economics Letters, Elsevier, vol. 81(3), pages 349-354, December.
    26. Lee, Myoung-jae & Vella, Francis, 2006. "A semi-parametric estimator for censored selection models with endogeneity," Journal of Econometrics, Elsevier, vol. 130(2), pages 235-252, February.
    27. Dennis Kristensen, 2009. "Semiparametric Modelling and Estimation: A Selective Overview," CREATES Research Papers 2009-44, Department of Economics and Business Economics, Aarhus University.
    28. Giovanni Mellace & Roberto Rocci, 2011. "Principal Stratification in sample selection problems with non normal error terms," CEIS Research Paper 194, Tor Vergata University, CEIS, revised 02 May 2011.
    29. Di Guo & Kun Jiang & Xiaoting Mai, 2015. "Venture Capital Investment and the Post-IPO Performance of Entrepreneurial Firms: Evidence from the People's Republic of China," Asian Development Review, MIT Press, vol. 32(1), pages 113-141, March.
    30. Aradillas-López, Andrés, 2021. "Computing semiparametric efficiency bounds in discrete choice models with strategic-interactions and rational expectations," Journal of Econometrics, Elsevier, vol. 221(1), pages 25-42.
    31. Elia Lapenta, 2022. "A Bootstrap Specification Test for Semiparametric Models with Generated Regressors," Papers 2212.11112, arXiv.org, revised Oct 2023.
    32. Song, Kyungchul, 2014. "Semiparametric models with single-index nuisance parameters," Journal of Econometrics, Elsevier, vol. 178(P3), pages 471-483.
    33. Zhou, Xianbo & Pan, Zhewen, 2015. "Two-step semiparametric estimation of the Type-3 Tobit model," Statistics & Probability Letters, Elsevier, vol. 105(C), pages 96-105.
    34. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.

  67. Yanqin Fan & Qi Li, 2002. "A Consistent Model Specification Test Based On The Kernel Sum Of Squares Of Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 337-352.

    Cited by:

    1. E Fe-Rodriguez & C D Orme, 2005. "The Asymptotic Equivalence of Kernel-based Nonparametric Conditional Moment Test Statistics," Economics Discussion Paper Series 0504, Economics, The University of Manchester.
    2. Jun Wang & Dianpeng Wang & Yubin Tian, 2022. "Multidimensional specification test based on non-stationary time series," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 348-372, June.
    3. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    4. Dette, Holger & Hetzler, Benjamin, 2004. "Specification tests indexed by bandwidths," Technical Reports 2004,48, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    5. Xu, Ke-Li, 2013. "Powerful tests for structural changes in volatility," Journal of Econometrics, Elsevier, vol. 173(1), pages 126-142.

  68. Li, Qi, et al, 2002. "Semiparametric Smooth Coefficient Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 412-422, July.

    Cited by:

    1. Asaftei, Gabriel & Parmeter, Christopher F., 2010. "Market power, EU integration and privatization: The case of Romania," Journal of Comparative Economics, Elsevier, vol. 38(3), pages 340-356, September.
    2. Diego Restrepo-Tobón & Subal Kumbhakar & Kai Sun, 2015. "Obelix vs. Asterix: Size of US commercial banks and its regulatory challenge," Journal of Regulatory Economics, Springer, vol. 48(2), pages 125-168, October.
    3. Qiu, Guo & Xu, Wangtu (Ato) & Li, Ling, 2018. "Key factors to annual investment in public transportation sector: The case of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 1-19.
    4. Cai, Zongwu & Li, Qi & Park, Joon Y., 2009. "Functional-coefficient models for nonstationary time series data," Journal of Econometrics, Elsevier, vol. 148(2), pages 101-113, February.
    5. Juan carlos Escanciano & David Jacho-chavez, 2009. "Uniform in Bandwidth Consistency of Smooth Varying Coefficient Estimators," Economics Bulletin, AccessEcon, vol. 29(3), pages 1889-1895.
    6. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    7. Thanasis Stengos & Eleftherios Zaharias, 2002. "Intertemporal Pricing and Price Discrimination: A Semiparametric Hedonic Analysis of the Personal Computer Market," University of Cyprus Working Papers in Economics 0211, University of Cyprus Department of Economics.
    8. Delis, Manthos D & Iosifidi, Maria & Tsionas, Efthymios, 2012. "On the estimation of marginal cost," MPRA Paper 43514, University Library of Munich, Germany.
    9. Subal C. Kumbhakar & Kai Sun & Rui Zhang, 2016. "Semiparametric Smooth Coefficient Estimation of a Production System," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 464-482, October.
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    Cited by:

    1. Mapa, Dennis S. & Briones, Kristine Joy S., 2006. "Measuring the Common Component of Stock Market Fluctuations in the Asia-Pacific Region," MPRA Paper 21247, University Library of Munich, Germany.

  70. Qi Li & Thomas J. Kniesner, 2002. "Nonlinearity in dynamic adjustment: Semiparametric estimation of panel labor supply," Empirical Economics, Springer, vol. 27(1), pages 131-148.

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    1. Li, Kui-Wai & Zhou, Xianbo, 2010. "Openness, domestic performance and growth," Economics Letters, Elsevier, vol. 107(1), pages 13-16, April.
    2. Roy, Nilanjana & Cornelis van Kooten, G., 2004. "Another look at the income elasticity of non-point source air pollutants: a semiparametric approach," Economics Letters, Elsevier, vol. 85(1), pages 17-22, October.
    3. Elizabeth Schroeder, 2016. "Dynamic labor supply adjustment with bias correction," Empirical Economics, Springer, vol. 51(4), pages 1623-1640, December.
    4. Tran, Kien C. & Tsionas, Efthymios G., 2009. "Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing," Economic Modelling, Elsevier, vol. 26(5), pages 904-909, September.
    5. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    6. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    7. Henderson, Daniel J. & Ullah, Aman, 2005. "A nonparametric random effects estimator," Economics Letters, Elsevier, vol. 88(3), pages 403-407, September.
    8. Anil Kumar, 2012. "Nonparametric estimation of the impact of taxes on female labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 415-439, April.
    9. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    10. Antman, Francisca & McKenzie, David J., 2005. "Poverty traps and nonlinear income dynamics with measurement error and individual heterogeneity," Policy Research Working Paper Series 3764, The World Bank.
    11. Kusum Mundra, 2005. "Nonparametric Slope Estimators for Fixed-Effect Panel Data," Econometrics 0502008, University Library of Munich, Germany.
    12. Cai, Zongwu & Li, Qi, 2008. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1321-1342, October.
    13. Polemis, Michael L. & Tsionas, Mike G., 2016. "An alternative semiparametric approach to the modelling of asymmetric gasoline price adjustment," Energy Economics, Elsevier, vol. 56(C), pages 384-388.
    14. Eren,Ozkan & Henderson,J. Daniel, 2006. "The Impact of Homework on Student Achievement," Departmental Working Papers 0518, Southern Methodist University, Department of Economics, revised 12 May 2007.
    15. Qi Gao & Long Liu & Jeffrey S. Racine, 2015. "A Partially Linear Kernel Estimator for Categorical Data," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 959-978, December.
    16. Zhang, Yuanqing & Sun, Yanqing, 2015. "Estimation of partially specified dynamic spatial panel data models with fixed-effects," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 37-46.
    17. Cai, Zongwu & Das, Mitali & Xiong, Huaiyu & Wu, Xizhi, 2006. "Functional coefficient instrumental variables models," Journal of Econometrics, Elsevier, vol. 133(1), pages 207-241, July.
    18. Kumar, Anil, 2008. "Labor supply, deadweight loss and tax reform act of 1986: A nonparametric evaluation using panel data," Journal of Public Economics, Elsevier, vol. 92(1-2), pages 236-253, February.

  71. Hsiao, Cheng & Li, Qi, 2001. "A Consistent Test For Conditional Heteroskedasticity In Time-Series Regression Models," Econometric Theory, Cambridge University Press, vol. 17(1), pages 188-221, February.

    Cited by:

    1. Ted Juhl & Zhijie Xiao, 2009. "Tests for Changing Mean with Monotonic Power," Boston College Working Papers in Economics 709, Boston College Department of Economics.
    2. Tianshun Yan & Liping Zhang, 2020. "A comparative study of several bootstrap-based tests for the volatility in continuous-time diffusion models," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 19(1), pages 33-47, January.
    3. E Fe-Rodriguez & C D Orme, 2005. "The Asymptotic Equivalence of Kernel-based Nonparametric Conditional Moment Test Statistics," Economics Discussion Paper Series 0504, Economics, The University of Manchester.
    4. Kiho Jeong & Wolfgang Härdle, 2008. "A Consistent Nonparametric Test for Causality in Quantile," SFB 649 Discussion Papers SFB649DP2008-007, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Jaeun Shin, 2005. "Stock Returns and Volatility in Emerging Stock Markets," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 4(1), pages 31-43, April.
    6. Henderson, Daniel J. & Sheehan, Alice, 2018. "Kernel-based testing with skewed and heavy-tailed data: Evidence from a nonparametric test for heteroskedasticity," Economics Letters, Elsevier, vol. 172(C), pages 8-11.
    7. E. Fe-Rodríguez & C. Orme, 2006. "On the sensitivity of Kernel-based Conditional Moment Tests to Unconsidered Local Alternatives," Economics Discussion Paper Series 0606, Economics, The University of Manchester.
    8. Juhl, Ted & Xiao, Zhijie, 2005. "A nonparametric test for changing trends," Journal of Econometrics, Elsevier, vol. 127(2), pages 179-199, August.
    9. Grobys, Klaus, 2023. "A multifractal model of asset (in)variances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).

  72. Badi Baltagi & Qi Li, 2001. "Estimation Of Econometric Models With Nonparametrically Specified Risk Terms," Econometric Reviews, Taylor & Francis Journals, vol. 20(4), pages 445-460.

    Cited by:

    1. Herrera-Almanza, Catalina & Marquez-Padilla, Fernanda & Prina, Silvia, 2023. "C-Sections, Obesity, and Health-Care Specialization: Evidence from Mexico," IZA Discussion Papers 16302, Institute of Labor Economics (IZA).
    2. Jaeun Shin, 2005. "Stock Returns and Volatility in Emerging Stock Markets," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 4(1), pages 31-43, April.
    3. John M. Krieg & Charles S. Wassell Jr. & David W. Hedrick & Steven E. Henson, 2013. "Collective Bargaining and Faculty Job Satisfaction," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 52(3), pages 619-644, July.
    4. Fraisse, H. & Frouté, P., 2012. "Households Debt Restructuring: Evidence from the French Experience," Working papers 404, Banque de France.
    5. Bhaven Sampat & Heidi L. Williams, 2015. "How Do Patents Affect Follow-On Innovation? Evidence from the Human Genome," NBER Working Papers 21666, National Bureau of Economic Research, Inc.
    6. Li, Qi & Yang, Jian & Hsiao, Cheng & Chang, Young-Jae, 2005. "The relationship between stock returns and volatility in international stock markets," Journal of Empirical Finance, Elsevier, vol. 12(5), pages 650-665, December.

  73. Fan, Yanqin & Li, Qi, 2000. "Consistent Model Specification Tests," Econometric Theory, Cambridge University Press, vol. 16(6), pages 1016-1041, December.

    Cited by:

    1. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2011. "Testing functional inequalities," CeMMAP working papers CWP12/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Escanciano, Juan Carlos & Velasco, Carlos, 2003. "Generalized spectral tests for the martingale difference hypothesis," DES - Working Papers. Statistics and Econometrics. WS ws035312, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Chen, Song Xi & Gao, Jiti, 2007. "An adaptive empirical likelihood test for parametric time series regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 950-972, December.
    4. Cheng Hsiao & Qi Li & Jeff Racine, 2006. "A Consistent Model Specification Test with Mixed Discrete and Continuous Data," IEPR Working Papers 06.47, Institute of Economic Policy Research (IEPR).
    5. Lavergne, Pascal & Patilea, Valentin, 2013. "Smooth minimum distance estimation and testing with conditional estimating equations: Uniform in bandwidth theory," Journal of Econometrics, Elsevier, vol. 177(1), pages 47-59.
    6. Juan Carlos Escanciano, 2004. "Model Checks Using Residual Marked Empirical Processes," Faculty Working Papers 13/04, School of Economics and Business Administration, University of Navarra.
    7. Song, Kyungchul, 2010. "Testing semiparametric conditional moment restrictions using conditional martingale transforms," Journal of Econometrics, Elsevier, vol. 154(1), pages 74-84, January.
    8. Krikamol Muandet & Wittawat Jitkrittum & Jonas Kubler, 2020. "Kernel Conditional Moment Test via Maximum Moment Restriction," Papers 2002.09225, arXiv.org, revised Jun 2020.
    9. Ahmad, Ibrahim & Chen, Xiaohong & Li, Qi, 2001. "Model check by kernel methods under weak moment conditions," Computational Statistics & Data Analysis, Elsevier, vol. 36(3), pages 403-409, May.
    10. Hsu, Shih-Hsun & Kuan, Chung-Ming, 2014. "Constructing smooth tests without estimating the eigenpairs of the limiting process," Journal of Econometrics, Elsevier, vol. 178(P1), pages 71-79.
    11. Wang, Luya, 2022. "Adaptive testing using data-driven method selecting smoothing parameters," Economics Letters, Elsevier, vol. 215(C).
    12. Taoufik Bouezmarni & Jeroen V.K. Rombouts & Abderrahim Taamouti, 2009. "A Nonparametric Copula Based Test for Conditional Independence with Applications to Granger Causality," Cahiers de recherche 0927, CIRPEE.
    13. Christos Kollias & Suzanna-Maria Paleologou, 2015. "Defence And Non-Defence Spending In The Usa: Stimuli To Economic Growth? Comparative Findings From A Semiparametric Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 67(4), pages 359-370, October.
    14. Taoufik Bouezmarni & Abderrahim Taamouti, 2014. "Nonparametric tests for conditional independence using conditional distributions," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(4), pages 697-719, December.
    15. Sun, Zhihua & Ye, Xue & Sun, Liuquan, 2015. "Consistent test of error-in-variables partially linear model with auxiliary variables," Journal of Multivariate Analysis, Elsevier, vol. 141(C), pages 118-131.
    16. Suzanna-Maria Paleologou, 2016. "The long-run tendency of government expenditure: a semi-parametric modelling approach," Empirical Economics, Springer, vol. 50(3), pages 753-776, May.
    17. Masamune Iwasawa, 2015. "A Joint Specification Test for Response Probabilities in Unordered Multinomial Choice Models," Econometrics, MDPI, vol. 3(3), pages 1-31, September.
    18. Jean-David Fermanian, 2003. "Goodness of Fit Tests for Copulas," Working Papers 2003-34, Center for Research in Economics and Statistics.
    19. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    20. Russell Davidson & Victoria Zinde-Walsh, 2017. "Advances in specification testing," Post-Print hal-01684821, HAL.
    21. Hill Jonathan B., 2013. "Stochastically weighted average conditional moment tests of functional form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 121-139, April.
    22. Denis Chetverikov & Daniel Wilhelm & Dongwoo Kim, 2019. "An adaptive test of stochastic monotonicity," CeMMAP working papers CWP49/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    23. Anne Leucht & Michael Neumann, 2013. "Degenerate $$U$$ - and $$V$$ -statistics under ergodicity: asymptotics, bootstrap and applications in statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(2), pages 349-386, April.
    24. Taisuke Otsu & Luke Taylor, 2016. "Specification testing for errors-in-variables models," STICERD - Econometrics Paper Series /2015/586, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    25. Amengual, Dante & Carrasco, Marine & Sentana, Enrique, 2020. "Testing distributional assumptions using a continuum of moments," Journal of Econometrics, Elsevier, vol. 218(2), pages 655-689.
    26. Jun, Sung Jae & Pinkse, Joris, 2009. "Semiparametric tests of conditional moment restrictions under weak or partial identification," Journal of Econometrics, Elsevier, vol. 152(1), pages 3-18, September.
    27. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2018. "Rate Optimal Specification Test When the Number of Instruments is Large," KIER Working Papers 986, Kyoto University, Institute of Economic Research.
    28. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    29. Su, Liangjun & Zheng, Xin, 2017. "A martingale-difference-divergence-based test for specification," Economics Letters, Elsevier, vol. 156(C), pages 162-167.
    30. Porter, Jack & Yu, Ping, 2015. "Regression discontinuity designs with unknown discontinuity points: Testing and estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 132-147.
    31. Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
    32. Gao, Jiti & Casas, Isabel, 2008. "Specification testing in discretized diffusion models: Theory and practice," Journal of Econometrics, Elsevier, vol. 147(1), pages 131-140, November.
    33. Yanqin Fan & Qi Li, 2002. "A Consistent Model Specification Test Based On The Kernel Sum Of Squares Of Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 337-352.
    34. Gozalo, Pedro L. & Linton, Oliver B., 2001. "Testing additivity in generalized nonparametric regression models with estimated parameters," Journal of Econometrics, Elsevier, vol. 104(1), pages 1-48, August.
    35. Fan, Yanqin & Park, Sang Soo, 2014. "Nonparametric inference for counterfactual means: Bias-correction, confidence sets, and weak IV," Journal of Econometrics, Elsevier, vol. 178(P1), pages 45-56.
    36. Ruiz-Castillo, Javier, 2012. "From the “European Paradox” to a European Drama in citation impact," UC3M Working papers. Economics we1211, Universidad Carlos III de Madrid. Departamento de Economía.
    37. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    38. Li, Lingzhu & Chiu, Sung Nok & Zhu, Lixing, 2019. "Model checking for regressions: An approach bridging between local smoothing and global smoothing methods," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 64-82.
    39. Escanciano, Juan Carlos & Jacho-Chávez, David T., 2010. "Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 625-636, March.
    40. Guo, Xu & Li, Gao Rong & Wong, Wing Keung, 2014. "Specification Testing of Production Frontier Function in Stochastic Frontier Model," MPRA Paper 57999, University Library of Munich, Germany.
    41. Liu, Ran & Zhu, Lixing, 2023. "Specification testing for ordinary differential equation models with fixed design and applications to COVID-19 epidemic models," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
    42. Juan Mora & Daniel Miles, 2002. "On The Performance Of Nonparametric Specification Tests In Regression Models," Working Papers. Serie AD 2002-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    43. Efstathios Paparoditis, 2005. "Testing the Fit of a Vector Autoregressive Moving Average Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(4), pages 543-568, July.
    44. Juan Carlos Escanciano, 2005. "On the Asymptotic Power Properties of Specification Tests for Dynamic Parametric Regressions," Faculty Working Papers 07/05, School of Economics and Business Administration, University of Navarra.
    45. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.
    46. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.

  74. Li, Qi, 2000. "Semiparametric Methods In Econometrics," Econometric Theory, Cambridge University Press, vol. 16(4), pages 611-617, August.

    Cited by:

    1. Su, Xuanming & Zhou, Weisheng & Nakagami, Ken'Ichi & Ren, Hongbo & Mu, Hailin, 2012. "Capital stock-labor-energy substitution and production efficiency study for China," Energy Economics, Elsevier, vol. 34(4), pages 1208-1213.

  75. Qi Li & Jeffrey Wooldridge, 2000. "Estimating Semiparametric Econometrics Models by Local Linear Method: With an Application to Cross-Country Growth," Annals of Economics and Finance, Society for AEF, vol. 1(2), pages 337-357, November.

    Cited by:

    1. Tran, Kien C. & Tsionas, Efthymios G., 2009. "Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing," Economic Modelling, Elsevier, vol. 26(5), pages 904-909, September.
    2. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    3. Henderson, Daniel J. & Ullah, Aman, 2005. "A nonparametric random effects estimator," Economics Letters, Elsevier, vol. 88(3), pages 403-407, September.
    4. Eskander Alvi & Debasri Mukherjee & Ashraf Eid, 2007. "Do Patent Protection and Technology Transfer Facilitate R&D in Developed and Emerging Countries? A Semiparametric Study," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(2), pages 217-231, June.

  76. Li, Qi, 2000. "Efficient Estimation of Additive Partially Linear Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(4), pages 1073-1092, November.

    Cited by:

    1. Sainan Jin & Wanjun Jiang & Liangjun Su & Jianying Hu, 2006. "The Rise in House Prices in China: Bubbles or Fundamentals?," Economics Bulletin, AccessEcon, vol. 3(7), pages 1-8.
    2. Jianhong Shi & Fanrong Zhao, 2018. "Statistical inference for heteroscedastic semi-varying coefficient EV models under restricted condition," Statistical Papers, Springer, vol. 59(2), pages 487-511, June.
    3. Bianco, Ana M. & Boente, Graciela & González-Manteiga, Wenceslao & Pérez-González, Ana, 2015. "Robust inference in partially linear models with missing responses," Statistics & Probability Letters, Elsevier, vol. 97(C), pages 88-98.
    4. B. Ettinger & S. Perotto & L. M. Sangalli, 2016. "Spatial regression models over two-dimensional manifolds," Biometrika, Biometrika Trust, vol. 103(1), pages 71-88.
    5. Yunlu Jiang, 2015. "Robust estimation in partially linear regression models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(11), pages 2497-2508, November.
    6. Müller, Ursula U. & Schick, Anton & Wefelmeyer, Wolfgang, 2014. "Testing for additivity in partially linear regression with possibly missing responses," Journal of Multivariate Analysis, Elsevier, vol. 128(C), pages 51-61.
    7. Guozhi Hu & Weihu Cheng & Jie Zeng, 2023. "Optimal Model Averaging for Semiparametric Partially Linear Models with Censored Data," Mathematics, MDPI, vol. 11(3), pages 1-21, February.
    8. A. Delaigle & P. Hall & J. R. Wishart, 2014. "New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data," Biometrika, Biometrika Trust, vol. 101(3), pages 567-585.
    9. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    10. Ana M. Bianco & Graciela Boente & Wenceslao González-Manteiga & Ana Pérez-González, 2019. "Plug-in marginal estimation under a general regression model with missing responses and covariates," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 106-146, March.
    11. Tadao Hoshino, 2014. "Quantile regression estimation of partially linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 509-536, September.
    12. Daniel Becker & Alois Kneip & Valentin Patilea, 2021. "Semiparametric inference for partially linear regressions with Box-Cox transformation," Papers 2106.10723, arXiv.org.
    13. Sigve Hovda, 2014. "Using pseudometrics in kernel density estimation," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(4), pages 669-696, December.
    14. Hoshino, Tadao, 2022. "Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect," Journal of Econometrics, Elsevier, vol. 229(2), pages 263-275.
    15. Sang, Peijun & Lockhart, Richard A. & Cao, Jiguo, 2018. "Sparse estimation for functional semiparametric additive models," Journal of Multivariate Analysis, Elsevier, vol. 168(C), pages 105-118.
    16. Tang Qingguo & Chen Wenyu, 2022. "Estimation for partially linear additive regression with spatial data," Statistical Papers, Springer, vol. 63(6), pages 2041-2063, December.
    17. Bogomolov, Marina & Davidov, Ori, 2019. "Order restricted univariate and multivariate inference with adjustment for covariates in partially linear models," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 20-27.
    18. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    19. Lian, Heng & Liang, Hua, 2016. "Separation of linear and index covariates in partially linear single-index models," Journal of Multivariate Analysis, Elsevier, vol. 143(C), pages 56-70.
    20. Cui, Xia & Lu, Ying & Peng, Heng, 2017. "Estimation of partially linear regression models under the partial consistency property," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 103-121.
    21. Lan, Wei & Ding, Yue & Fang, Zheng & Fang, Kuangnan, 2016. "Testing covariates in high dimension linear regression with latent factors," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 25-37.
    22. Marcelo M. Taddeo & Pedro A. Morettin, 2023. "Bayesian P-Splines Applied to Semiparametric Models with Errors Following a Scale Mixture of Normals," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(2), pages 1331-1355, August.
    23. Wei Lan & Ronghua Luo & Chih-Ling Tsai & Hansheng Wang & Yunhong Yang, 2015. "Testing the Diagonality of a Large Covariance Matrix in a Regression Setting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 76-86, January.
    24. Liang, Hua, 2006. "Estimation in partially linear models and numerical comparisons," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 675-687, February.
    25. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    26. Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP04/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Hardle, Wolfgang & Linton, Oliver & Wang, Qihua, 2003. "Semiparametric regression analysis under imputation for missing response data," LSE Research Online Documents on Economics 2206, London School of Economics and Political Science, LSE Library.
    28. Xue-Jun Ma & Jing-Xiao Zhang, 2016. "A new variable selection approach for varying coefficient models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 79(1), pages 59-72, January.
    29. Jiti Gao & Peter C.B. Phillips, 2011. "Semiparametric Estimation in Multivariate Nonstationary Time Series Models," Monash Econometrics and Business Statistics Working Papers 17/11, Monash University, Department of Econometrics and Business Statistics.
    30. Boente, Graciela & Martínez, Alejandra Mercedes, 2023. "A robust spline approach in partially linear additive models," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    31. Wang, Xiaoguang & Shi, Xinyong, 2014. "Robust estimation for survival partially linear single-index models," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 140-152.
    32. Li, Rui & Wan, Alan T.K. & You, Jinhong, 2016. "Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 401-423.
    33. Yuejin Zhou & Yebin Cheng & Wenlin Dai & Tiejun Tong, 2018. "Optimal difference-based estimation for partially linear models," Computational Statistics, Springer, vol. 33(2), pages 863-885, June.
    34. Li, Jinfang, 2020. "The momentum and reversal effects of investor sentiment on stock prices," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    35. Manzan, sebastiano & Zerom, Dawit, 2008. "A Semiparametric Analysis of Gasoline Demand in the US: Reexamining The Impact of Price," MPRA Paper 14386, University Library of Munich, Germany.
    36. Zhu, Xuehu & Wang, Tao & Zhao, Junlong & Zhu, Lixing, 2017. "Inference for biased transformation models," Computational Statistics & Data Analysis, Elsevier, vol. 109(C), pages 105-120.
    37. Dong, C. & Li, S., 2021. "Specification Lasso and an Application in Financial Markets," Cambridge Working Papers in Economics 2139, Faculty of Economics, University of Cambridge.
    38. Germán Aneiros & Nengxiang Ling & Philippe Vieu, 2015. "Error variance estimation in semi-functional partially linear regression models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 27(3), pages 316-330, September.
    39. Georg Keilbar & Juan M. Rodriguez-Poo & Alexandra Soberon & Weining Wang, 2022. "A semiparametric approach for interactive fixed effects panel data models," Papers 2201.11482, arXiv.org, revised Mar 2023.
    40. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    41. Hohsuk Noh & Seong J. Yang, 2020. "Comparing Groups of Decision-Making Units in Efficiency Based on Semiparametric Regression," Mathematics, MDPI, vol. 8(2), pages 1-16, February.
    42. Liu, Lili & Lin, Lu, 2019. "Subgroup analysis for heterogeneous additive partially linear models and its application to car sales data," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 239-259.
    43. Jun Zhang & Zhenghui Feng & Peirong Xu & Hua Liang, 2017. "Generalized varying coefficient partially linear measurement errors models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(1), pages 97-120, February.
    44. Wang, Dewei & Kulasekera, K.B., 2012. "Parametric component detection and variable selection in varying-coefficient partially linear models," Journal of Multivariate Analysis, Elsevier, vol. 112(C), pages 117-129.
    45. Roozbeh, Mahdi, 2015. "Shrinkage ridge estimators in semiparametric regression models," Journal of Multivariate Analysis, Elsevier, vol. 136(C), pages 56-74.
    46. Hengartner, Nicolas W. & Sperlich, Stefan, 2005. "Rate optimal estimation with the integration method in the presence of many covariates," Journal of Multivariate Analysis, Elsevier, vol. 95(2), pages 246-272, August.
    47. Jun Zhang & Zhenghui Feng & Peirong Xu, 2015. "Estimating the conditional single-index error distribution with a partial linear mean regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(1), pages 61-83, March.
    48. Nedeljković, Milan & Urošević, Branko, 2012. "Determinants of the Dinar-Euro Nominal Exchange Rate," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 121-141, September.
    49. Zhao, Weihua & Lian, Heng, 2017. "Quantile index coefficient model with variable selection," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 40-58.
    50. Hu Yang & Ning Li & Jing Yang, 2020. "A robust and efficient estimation and variable selection method for partially linear models with large-dimensional covariates," Statistical Papers, Springer, vol. 61(5), pages 1911-1937, October.
    51. Heng Lian, 2012. "Variable selection in high-dimensional partly linear additive models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 24(4), pages 825-839, December.
    52. Tianyong Zhang & Demei Yuan & Jiali Ma & Xuemei Hu, 2017. "Assessing white noise assumption with semi-parametric additive partial linear models," Statistical Papers, Springer, vol. 58(2), pages 417-431, June.
    53. Moral, Ignacio & Rodriguez-Poo, Juan M., 2004. "An efficient marginal integration estimator of a semiparametric additive modelling," Statistics & Probability Letters, Elsevier, vol. 69(4), pages 451-463, October.
    54. Cui, Xia & Zhao, Weihua & Lian, Heng & Liang, Hua, 2019. "Pursuit of dynamic structure in quantile additive models with longitudinal data," Computational Statistics & Data Analysis, Elsevier, vol. 130(C), pages 42-60.
    55. Holland, Ashley D., 2017. "Penalized spline estimation in the partially linear model," Journal of Multivariate Analysis, Elsevier, vol. 153(C), pages 211-235.
    56. Q. Shao, 2009. "Seasonality analysis of time series in partial linear models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 21(7), pages 827-837.
    57. Huang, Zhensheng & Pang, Zhen & Hu, Tao, 2013. "Testing structural change in partially linear single-index models with error-prone linear covariates," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 121-133.
    58. Yayi Yan & Jiti Gao & Bin Peng, 2020. "A Class of Time-Varying Vector Moving Average Models: Nonparametric Kernel Estimation and Application," Papers 2010.01492, arXiv.org.
    59. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    60. Sebastiano Manzan & Dawit Zerom, 2010. "A Semiparametric Analysis of Gasoline Demand in the United States Reexamining The Impact of Price," Econometric Reviews, Taylor & Francis Journals, vol. 29(4), pages 439-468.
    61. Wang, Yue & Zhou, Yan & Li, Rui & Lian, Heng, 2022. "Sparse high-dimensional semi-nonparametric quantile regression in a reproducing kernel Hilbert space," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    62. Jing Yang & Hu Yang & Fang Lu, 2019. "Rank-based shrinkage estimation for identification in semiparametric additive models," Statistical Papers, Springer, vol. 60(4), pages 1255-1281, August.
    63. Xin Lu & Brent A. Johnson, 2015. "Direct estimation of the mean outcome on treatment when treatment assignment and discontinuation compete," Biometrika, Biometrika Trust, vol. 102(4), pages 797-807.
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    65. Xuejun Ma & Yue Du & Jingli Wang, 2022. "Model detection and variable selection for mode varying coefficient model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(2), pages 321-341, June.
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    125. Chuanhua Wei & Jin Yang, 2020. "Stochastic restricted estimation in partially linear additive errors-in-variables models," Statistical Papers, Springer, vol. 61(3), pages 1269-1279, June.
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    1. Gijbels, Irène & Omelka, Marek & Veraverbeke, Noël, 2021. "Omnibus test for covariate effects in conditional copula models," Journal of Multivariate Analysis, Elsevier, vol. 186(C).
    2. Zhongwen Liang & Zhongjian Lin & Cheng Hsiao, 2015. "Local Linear Estimation of a Nonparametric Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 882-906, December.
    3. Jingping Gu & Qi Li & Jui-Chung Yang, 2015. "Multivariate Local Polynomial Kernel Estimators: Leading Bias and Asymptotic Distribution," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 979-1010, December.
    4. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    5. Wenceslao González-Manteiga & Rosa Crujeiras, 2013. "An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 361-411, September.
    6. Mohamed Khaled & Paul Makdissi & Rami Tabri & Myra Yazbeck, 2016. "A Framework for Testing the Equality Between the Health Concentration Curve and the 45-Degree Line," Working Papers 160011, Canadian Centre for Health Economics.

  78. Li, Qi, 1999. "Consistent model specification tests for time series econometric models," Journal of Econometrics, Elsevier, vol. 92(1), pages 101-147, September.

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    1. Gao, Jiti & Tong, Howell & Wolff, Rodney, 2002. "Model Specification Tests in Nonparametric Stochastic Regression Models," Journal of Multivariate Analysis, Elsevier, vol. 83(2), pages 324-359, November.
    2. Su, Liangjun & White, Halbert, 2003. "A Consistent Characteristic-Function-Based Test for Conditional Independence," University of California at San Diego, Economics Working Paper Series qt4dv0837f, Department of Economics, UC San Diego.
    3. Ted Juhl & Zhijie Xiao, 2009. "Tests for Changing Mean with Monotonic Power," Boston College Working Papers in Economics 709, Boston College Department of Economics.
    4. Chen, Song Xi & Gao, Jiti, 2007. "An adaptive empirical likelihood test for parametric time series regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 950-972, December.
    5. Gao, Jiti & Linton, Oliver & Peng, Bin, 2020. "Inference On A Semiparametric Model With Global Power Law And Local Nonparametric Trends," Econometric Theory, Cambridge University Press, vol. 36(2), pages 223-249, April.
    6. Djogbenou, Antoine & Inan, Emre & Jasiak, Joann, 2023. "Time-varying coefficient DAR model and stability measures for stablecoin prices: An application to Tether," Journal of International Money and Finance, Elsevier, vol. 139(C).
    7. Wang, Bin & Zheng, Xu, 2022. "Testing for the presence of jump components in jump diffusion models," Journal of Econometrics, Elsevier, vol. 230(2), pages 483-509.
    8. Jiti Gao & Maxwell King, 2011. "A New Test in Parametric Linear Models against Nonparametric Autoregressive Errors," Monash Econometrics and Business Statistics Working Papers 20/11, Monash University, Department of Econometrics and Business Statistics.
    9. Lavergne, Pascal, 2001. "An equality test across nonparametric regressions," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 307-344, July.
    10. Juan Carlos Escanciano, 2004. "Model Checks Using Residual Marked Empirical Processes," Faculty Working Papers 13/04, School of Economics and Business Administration, University of Navarra.
    11. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch & Seong-Min Yoon, 2020. "OPEC News and Jumps in the Oil Market," Working Papers 202053, University of Pretoria, Department of Economics.
    12. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    13. Fengler, M.R. & Mammen, E. & Vogt, M., 2015. "Specification and structural break tests for additive models with applications to realized variance data," Journal of Econometrics, Elsevier, vol. 188(1), pages 196-218.
    14. Patrick Saart & Jiti Gao & Nam Hyun Kim, 2014. "Semiparametric methods in nonlinear time series analysis: a selective review," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(1), pages 141-169, March.
    15. Juan Carlos Escanciano & Carlos Velasco, 2006. "Testing the Martingale Difference Hypothesis Using Integrated Regression Functions," Faculty Working Papers 06/06, School of Economics and Business Administration, University of Navarra.
    16. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.
    17. Manuel Vega-Gordillo & José Luis à lvarez-Arce, 2005. "Heterogeneity In Economic Freedom: Free Clusters Or Free Countries," Faculty Working Papers 08/05, School of Economics and Business Administration, University of Navarra.
    18. Ian Christensen & Fuchun Li, 2013. "A Semiparametric Early Warning Model of Financial Stress Events," Staff Working Papers 13-13, Bank of Canada.
    19. Gourieroux, Christian & Jasiak, Joann, 2019. "Robust analysis of the martingale hypothesis," Econometrics and Statistics, Elsevier, vol. 9(C), pages 17-41.
    20. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    21. Ignacio N. Lobato, 2000. "A Consistent Test for the Martingale Difference Assumption," Econometric Society World Congress 2000 Contributed Papers 0278, Econometric Society.
    22. Escanciano, J. Carlos, 2006. "A Consistent Diagnostic Test For Regression Models Using Projections," Econometric Theory, Cambridge University Press, vol. 22(6), pages 1030-1051, December.
    23. Fang, Ying & Tang, Shengfang & Cai, Zongwu & Lin, Ming, 2020. "An alternative test for conditional unconfoundedness using auxiliary variables," Economics Letters, Elsevier, vol. 194(C).
    24. Jansen, Dennis W. & Li, Qi & Wang, Zijun & Yang, Jian, 2008. "Fiscal policy and asset markets: A semiparametric analysis," Journal of Econometrics, Elsevier, vol. 147(1), pages 141-150, November.
    25. Song Xi Chen & Jiti Gao, 2010. "Simultaneous Testing of Mean and Variance Structures in Nonlinear Time Series Models," School of Economics and Public Policy Working Papers 2010-28, University of Adelaide, School of Economics and Public Policy.
    26. Lawrence Dacuycuy, 2005. "A note on the comparative performance of the Zheng and Elisson-Elisson tests for omitted variables in regression models," Economics Bulletin, AccessEcon, vol. 3(21), pages 1-6.
    27. Kim, Myung Suk & Wang, Suojin, 2006. "Sizes of two bootstrap-based nonparametric specification tests for the drift function in continuous time models," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1793-1806, April.
    28. Arash Nademi & Rahman Farnoosh, 2014. "Mixtures of autoregressive-autoregressive conditionally heteroscedastic models: semi-parametric approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(2), pages 275-293, February.
    29. Hong, Shaoxin & Zhang, Zhengyi & Cai, Zongwu, 2021. "Testing heteroskedasticity for predictive regressions with nonstationary regressors," Economics Letters, Elsevier, vol. 201(C).
    30. Chen, Song Xi & Gao, Jiti & Tang, Chenghong, 2005. "A test for model specification of diffusion processes," MPRA Paper 11976, University Library of Munich, Germany, revised Feb 2007.
    31. Gao, Jiti & King, Maxwell, 2003. "Estimation and model specification testing in nonparametric and semiparametric econometric models," MPRA Paper 11989, University Library of Munich, Germany, revised Feb 2006.
    32. Sun, Yiguo & Malikov, Emir, 2017. "Estimation and Inference in Functional-Coefficient Spatial Autoregressive Panel Data Models with Fixed Effects," MPRA Paper 83671, University Library of Munich, Germany.
    33. Herman J. Bierens & Li Wang, 2017. "Weighted simulated integrated conditional moment tests for parametric conditional distributions of stationary time series processes," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 103-135, March.
    34. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    35. Wei Huang & Oliver Linton & Zheng Zhang, 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Papers 2102.08063, arXiv.org, revised Sep 2021.
    36. Gao, Jiti & Gijbels, Irene, 2005. "Bandwidth selection for nonparametric kernel testing," MPRA Paper 11982, University Library of Munich, Germany, revised Jun 2007.
    37. Lawrence Dacuycuy, 2006. "On the finite sampling properties of the Zheng test for omitted and irrelevant variable problems," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 681-684.
    38. Ladislav Kristoufek, 2022. "On the role of stablecoins in cryptoasset pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-26, December.
    39. Patrick W. Saart & Jiti Gao & David E. Allen, 2015. "Semiparametric Autoregressive Conditional Duration Model: Theory and Practice," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 849-881, December.
    40. Gao, Jiti & Hong, Yongmiao, 2007. "Central limit theorems for weighted quadratic forms of dependent processes with applications in specification testing," MPRA Paper 11977, University Library of Munich, Germany, revised Dec 2007.
    41. Lawrence Dacuycuy, 2005. "On distribution approximation: a simple comparative study on procedural variations of the Zheng test," Economics Bulletin, AccessEcon, vol. 3(11), pages 1-10.
    42. Gao, Jiti & Casas, Isabel, 2008. "Specification testing in discretized diffusion models: Theory and practice," Journal of Econometrics, Elsevier, vol. 147(1), pages 131-140, November.
    43. Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.
    44. Ait-Sahalia, Yacine & Bickel, Peter J. & Stoker, Thomas M., 2001. "Goodness-of-fit tests for kernel regression with an application to option implied volatilities," Journal of Econometrics, Elsevier, vol. 105(2), pages 363-412, December.
    45. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Inference of Grouped Time-Varying Network Vector Autoregression Models," Monash Econometrics and Business Statistics Working Papers 5/23, Monash University, Department of Econometrics and Business Statistics.
    46. Kim, Namhyun & W. Saart, Patrick, 2021. "Estimation in partially linear semiparametric models with parametric and/or nonparametric endogeneity," Cardiff Economics Working Papers E2021/9, Cardiff University, Cardiff Business School, Economics Section.
    47. Manuel Arapis & Jiti Gao, 2006. "Empirical Comparisons in Short-Term Interest Rate Models Using Nonparametric Methods," Journal of Financial Econometrics, Oxford University Press, vol. 4(2), pages 310-345.
    48. Lee Tae-Hwy, 2001. "Neural Network Test and Nonparametric Kernel Test for Neglected Nonlinearity in Regression Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(4), pages 1-15, January.
    49. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Estimation of Grouped Time-Varying Network Vector Autoregression Models," Papers 2303.10117, arXiv.org, revised Mar 2024.
    50. Dingding Li & Thanasis Stengos, 2003. "Testing Serial Correlation in Semiparametric Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(3), pages 311-335, May.
    51. Juan Carlos Escanciano, 2006. "Joint Diagnostic Tests for Conditional Mean and Variance Specifications," Faculty Working Papers 02/06, School of Economics and Business Administration, University of Navarra.
    52. Lin, Zhongjian & Li, Qi & Sun, Yiguo, 2014. "A consistent nonparametric test of parametric regression functional form in fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 167-179.
    53. Li, Dong & Li, Qi, 2010. "Nonparametric/semiparametric estimation and testing of econometric models with data dependent smoothing parameters," Journal of Econometrics, Elsevier, vol. 157(1), pages 179-190, July.

  79. Li, Q. & Hsiao, C., 1998. "Testing serial correlation in semiparametric panel data models," Journal of Econometrics, Elsevier, vol. 87(2), pages 207-237, September.

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    2. Daniel L. Millimet & John A. List & Thanasis Stengos, 2003. "The Environmental Kuznets Curve: Real Progress or Misspecified Models?," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1038-1047, November.
    3. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    4. Jiti Gao & Maxwell King, 2011. "A New Test in Parametric Linear Models against Nonparametric Autoregressive Errors," Monash Econometrics and Business Statistics Working Papers 20/11, Monash University, Department of Econometrics and Business Statistics.
    5. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    6. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
    7. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    8. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    9. Neckermann, Susanne & Cueni, Reto & Frey, Bruno S., 2012. "Awards at work," ZEW Discussion Papers 12-004, ZEW - Leibniz Centre for European Economic Research.
    10. Kui-Wai Li, 2014. "An analysis on economic opportunity," Applied Economics, Taylor & Francis Journals, vol. 46(33), pages 4060-4074, November.
    11. Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
    12. Tianyong Zhang & Demei Yuan & Jiali Ma & Xuemei Hu, 2017. "Assessing white noise assumption with semi-parametric additive partial linear models," Statistical Papers, Springer, vol. 58(2), pages 417-431, June.
    13. Gao, Jiti & King, Maxwell, 2003. "Estimation and model specification testing in nonparametric and semiparametric econometric models," MPRA Paper 11989, University Library of Munich, Germany, revised Feb 2006.
    14. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    15. Polemis, Michael L. & Stengos, Thanasis, 2015. "Does market structure affect labour productivity and wages? Evidence from a smooth coefficient semiparametric panel model," Economics Letters, Elsevier, vol. 137(C), pages 182-186.
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    1. You, Jinhong & Zhou, Xian, 2005. "The law of iterated logarithm of estimators for partially linear panel data models," Statistics & Probability Letters, Elsevier, vol. 75(4), pages 267-279, December.
    2. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    3. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
    4. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    5. You, Jinhong & Zhou, Xian & Zhou, Yong, 2010. "Statistical inference for panel data semiparametric partially linear regression models with heteroscedastic errors," Journal of Multivariate Analysis, Elsevier, vol. 101(5), pages 1079-1101, May.
    6. Henderson, Daniel J. & Ullah, Aman, 2005. "A nonparametric random effects estimator," Economics Letters, Elsevier, vol. 88(3), pages 403-407, September.
    7. Su, Liangjun & Ullah, Aman, 2007. "More efficient estimation of nonparametric panel data models with random effects," Economics Letters, Elsevier, vol. 96(3), pages 375-380, September.
    8. Kusum Mundra, 2005. "Nonparametric Slope Estimators for Fixed-Effect Panel Data," Econometrics 0502008, University Library of Munich, Germany.
    9. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    10. You, Jinhong & Zhou, Xian, 2006. "Statistical inference in a panel data semiparametric regression model with serially correlated errors," Journal of Multivariate Analysis, Elsevier, vol. 97(4), pages 844-873, April.
    11. He, Bang-Qiang & Hong, Xing-Jian & Fan, Guo-Liang, 2017. "Block empirical likelihood for partially linear panel data models with fixed effects," Statistics & Probability Letters, Elsevier, vol. 123(C), pages 128-138.
    12. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
    13. Baltagi, Badi H. & Li, Qi, 2002. "On instrumental variable estimation of semiparametric dynamic panel data models," Economics Letters, Elsevier, vol. 76(1), pages 1-9, June.
    14. Zongwu Cai & Linna Chen & Ying Fang, 2015. "Semiparametric Estimation of Partially Varying-Coefficient Dynamic Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 695-719, December.

  81. Li, Q. & Wang, Suojin, 1998. "A simple consistent bootstrap test for a parametric regression function," Journal of Econometrics, Elsevier, vol. 87(1), pages 145-165, August.

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    1. Jamie Emerson & Chihwa Kao, 2005. "Bootstrapping and hypothesis testing in non-stationary panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 12(5), pages 313-318.
    2. Azomahou, Théophile & Laisney, François & van Phu, Nguyen, 2005. "Economic Development and CO2 Emissions: A Nonparametric Panel Approach," ZEW Discussion Papers 05-56, ZEW - Leibniz Centre for European Economic Research.
    3. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
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    5. Elena Ketteni & Constantina Kottaridi & Theofanis Mamuneas, 2015. "Information and communication technology and foreign direct investment: interactions and contributions to economic growth," Empirical Economics, Springer, vol. 48(4), pages 1525-1539, June.
    6. Roy, Nilanjana & Cornelis van Kooten, G., 2004. "Another look at the income elasticity of non-point source air pollutants: a semiparametric approach," Economics Letters, Elsevier, vol. 85(1), pages 17-22, October.
    7. Jang-Ting Guo & Rong-Chang Wu, 1998. "Financial Liberalization and the Exchange-Rate Exposure of the Taiwanese Firms: A Nonparametric Analysis of Taiwan," Multinational Finance Journal, Multinational Finance Journal, vol. 2(1), pages 37-61, March.
    8. Pantelis Kalaitzidakis & Theofanis P. Mamuneas & Thanasis Stengos, 2008. "The Contribution of Pollution to Productivity Growth," Working Paper series 06_08, Rimini Centre for Economic Analysis.
    9. Chen, Song Xi & Gao, Jiti, 2007. "An adaptive empirical likelihood test for parametric time series regression models," Journal of Econometrics, Elsevier, vol. 141(2), pages 950-972, December.
    10. El Ghouch, Anouar & Genton, Marc G. & Bouezmarni , Taoufik, 2012. "Measuring the Discrepancy of a Parametric Model via Local Polynomial Smoothing," LIDAM Discussion Papers ISBA 2012001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    11. Horowitz, Joel L. & Spokoiny, Vladimir G., 1999. "An Adaptive, Rate-Optimal Test of a Parametric Model Against a Nonparametric Alternative," Working Papers 99-02, University of Iowa, Department of Economics.
    12. Vollebergh, Herman R.J. & Melenberg, Bertrand & Dijkgraaf, Elbert, 2009. "Identifying reduced-form relations with panel data: The case of pollution and income," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 27-42, July.
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    20. Elena Ketteni & Theofanis P. Mamuneas & Thanasis Stengos, 2007. "Nonlinearities in Economic Growth: A Semiparametric Approach applied to Information Technology data," Working Papers 0701, University of Guelph, Department of Economics and Finance.
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    22. Thi Kim Cuong Pham & Phu Nguyen Van & Jalal El Ouardighi & Théophile Azomahou, 2006. "Estimation semi-paramétrique de la convergence des régions européennes," Économie et Prévision, Programme National Persée, vol. 173(2), pages 97-110.
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    1. Mototsugu Shintani, 2003. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Vanderbilt University Department of Economics Working Papers 0322, Vanderbilt University Department of Economics, revised Apr 2004.
    2. Patrick Saart & Jiti Gao & Nam Hyun Kim, 2014. "Semiparametric methods in nonlinear time series analysis: a selective review," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(1), pages 141-169, March.
    3. Mototsugu Shintani, 2004. "A Dynamic Factor Approach to Nonlinear Stability Analysis," Levine's Bibliography 122247000000000621, UCLA Department of Economics.
    4. Kim, Myung Suk & Wang, Suojin, 2006. "Sizes of two bootstrap-based nonparametric specification tests for the drift function in continuous time models," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1793-1806, April.

  83. Ahmad, Ibrahim A. & Li, Qi, 1997. "Testing independence by nonparametric kernel method," Statistics & Probability Letters, Elsevier, vol. 34(2), pages 201-210, June.

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    1. Mizushima, Takamasa, 2000. "Multisample tests for scale based on kernel density estimation," Statistics & Probability Letters, Elsevier, vol. 49(1), pages 81-91, August.
    2. Christian Bayer, 2001. "Aggregate investment dynamics when firms face fixed investment cost and capital market imperfections," Discussion Papers in Economics 01_13, University of Dortmund, Department of Economics.
    3. Dahl, Christian M. & Nielsen, Steen, 2001. "The Random Walk Of Stock Prices: Implications Of Recent Nonpara-Metric Tests," Working Papers 07-2001, Copenhagen Business School, Department of Economics.
    4. Orea, Luis & Zofío, José L., 2017. "A primer on the theory and practice of efficiency and productivity analysis," Efficiency Series Papers 2017/05, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    6. Diks, C.G.H. & Panchenko, V., 2005. "Nonparametric Tests for Serial Independence Based on Quadratic Forms," CeNDEF Working Papers 05-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    7. Luca Bagnato & Lucio De Capitani & Antonio Punzo, 2014. "Testing Serial Independence via Density-Based Measures of Divergence," Methodology and Computing in Applied Probability, Springer, vol. 16(3), pages 627-641, September.
    8. Bernardino Benito & José Solana & María-Rocío Moreno, 2014. "Explaining efficiency in municipal services providers," Journal of Productivity Analysis, Springer, vol. 42(3), pages 225-239, December.
    9. C. W. Granger & E. Maasoumi & J. Racine, 2004. "A Dependence Metric for Possibly Nonlinear Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(5), pages 649-669, September.
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    11. Li, Qi & Maasoumi, Esfandiar & Racine, Jeffrey S., 2009. "A nonparametric test for equality of distributions with mixed categorical and continuous data," Journal of Econometrics, Elsevier, vol. 148(2), pages 186-200, February.

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    1. Seifert, Stefan, 2015. "Productivity Growth and its Sources - A StoNED Metafrontier Analyis of the German Electricity Generating Sector," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112975, Verein für Socialpolitik / German Economic Association.
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    4. Cristina Polo & Julián Ramajo & Alejandro Ricci‐Risquete, 2021. "A stochastic semi‐non‐parametric analysis of regional efficiency in the European Union," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 7-24, February.
    5. Jean-Pierre Florens & Léopold Simar & Ingrid van Keilegom, 2020. "Estimation of the Boundary of a Variable Observed with A Symmetric Error," Post-Print hal-02929524, HAL.
    6. Kneip, A. & Simar, L. & Van Keilegom I., 2010. "Boundary estimation in the presence of measurement error with unknown variance," LIDAM Discussion Papers ISBA 2010046, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Tran, Kien C. & Tsionas, Efthymios G., 2009. "Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing," Economic Modelling, Elsevier, vol. 26(5), pages 904-909, September.
    9. Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
    10. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    11. Kuosmanen, Timo & Fosgerau, Mogens, 2009. "Neoclassical versus frontier production models? Testing for the skewness of regression residuals," MPRA Paper 24208, University Library of Munich, Germany.
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    13. Abdelaati Daouia & Jean-Pierre Florens & Léopold Simar, 2020. "Robust frontier estimation from noisy data: a Tikhonov regularization approach," Post-Print hal-02573853, HAL.
    14. Giovanni Cesaroni & Kristiaan Kerstens & Ignace Van de Woestyne, 2017. "A New Input-Oriented Plant Capacity Notion: Definition and Empirical Comparison," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 720-739, October.
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    20. Mark Andor & Frederik Hesse, "undated". "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
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    39. Kneip, Alois & Simar, Leopold & Van Keilegom, Ingrid, 2015. "Frontier estimation in the presence of measurement error with unknown variance," LIDAM Reprints ISBA 2015004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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    104. Mike Tsionas & Valentin Zelenyuk, 2021. "Goodness-of-fit in Optimizing Models of Production: A Generalization with a Bayesian Perspective," CEPA Working Papers Series WP182021, School of Economics, University of Queensland, Australia.
    105. Guo, Xu & Li, Gao Rong & Wong, Wing Keung, 2014. "Specification Testing of Production Frontier Function in Stochastic Frontier Model," MPRA Paper 57999, University Library of Munich, Germany.
    106. Huang, Tai-Hsin & Chen, Kuan-Chen & Lin, Chung-I, 2018. "An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 51-62.
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    110. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
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    112. Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Marko Petrović & Emili Tortosa-Ausina, 2020. "Which estimator to measure local governments’ cost efficiency? The case of Spanish municipalities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 51-82, March.
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    Cited by:

    1. Hamadi, Malika & Heinen, Andréas, 2015. "Firm performance when ownership is very concentrated: Evidence from a semiparametric panel," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 172-194.
    2. Bruna, Maria Giuseppina & Đặng, Rey & Houanti, L'hocine & Sahut, Jean-Michel & Simioni, Michel, 2022. "By what way women on corporate boards influence corporate social performance? Evidence from a semiparametric panel model," Finance Research Letters, Elsevier, vol. 49(C).
    3. Jawara, Hamidou & Thiele, Rainer, 2018. "The nutrient-income elasticity in ultra-poor households: Evidence from Kenya," Kiel Working Papers 2114, Kiel Institute for the World Economy (IfW Kiel).
    4. Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
    5. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    6. Laté Ayao Lawson & Roberto Martino & Phu Nguyen-Van, 2020. "Environmental convergence and environmental Kuznets curve : A unified empirical framework," Post-Print hal-03098130, HAL.
    7. Daniel Becker & Alois Kneip & Valentin Patilea, 2021. "Semiparametric inference for partially linear regressions with Box-Cox transformation," Papers 2106.10723, arXiv.org.
    8. Antonio Musolesi & Massimiliano Mazzanti, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries," Post-Print hal-01123027, HAL.
    9. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    10. Cui, Xia & Lu, Ying & Peng, Heng, 2017. "Estimation of partially linear regression models under the partial consistency property," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 103-121.
    11. Bindele, Huybrechts F. & Abebe, Ash, 2015. "Semi-parametric rank regression with missing responses," Journal of Multivariate Analysis, Elsevier, vol. 142(C), pages 117-132.
    12. Cavallaro, Eleonora & Villani, Ilaria, 2022. "Beyond financial deepening: Rethinking the finance-growth relationship in an uneven world," Economic Modelling, Elsevier, vol. 116(C).
    13. Li, Cong & Liang, Zhongwen, 2015. "Asymptotics for nonparametric and semiparametric fixed effects panel models," Journal of Econometrics, Elsevier, vol. 185(2), pages 420-434.
    14. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    15. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    16. Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
    17. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    18. Qi Li & Aman Ullha, 1998. "Estimating partially linear panel data models with one-way error components," Econometric Reviews, Taylor & Francis Journals, vol. 17(2), pages 145-166.
    19. Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
    20. Xiao Huang, 2013. "Nonparametric Estimation in Large Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 754-777, August.
    21. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    22. Saarimaa, Tuukka & Kortelainen, Mika, 2012. "Do homeowners benefit urban neighborhoods? Evidence from housing prices," Working Papers 36, VATT Institute for Economic Research.
    23. Zhang, Junhua & Feng, Sanying & Li, Gaorong & Lian, Heng, 2011. "Empirical likelihood inference for partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 113(2), pages 165-167.
    24. Lien, Donald & Hu, Yue & Liu, Long, 2017. "A note on using ratio variables in regression analysis," Economics Letters, Elsevier, vol. 150(C), pages 114-117.
    25. Xiaolin Sun, 2022. "Estimation of Heterogeneous Treatment Effects Using a Conditional Moment Based Approach," Papers 2210.15829, arXiv.org, revised Dec 2022.
    26. Bertille Antoine & Xiaolin Sun, 2022. "Partially linear models with endogeneity: a conditional moment-based approach [Efficient estimation of models with conditional moment restrictions containing unknown functions]," The Econometrics Journal, Royal Economic Society, vol. 25(1), pages 256-275.
    27. Donald Lien & Feng Yao & Fan Zhang, 2018. "Confucius Institute's Effects on China's Higher Education Exports: A Perspective from Cultural Difference and Institutional Quality," Working Papers 18-04, Department of Economics, West Virginia University.
    28. König, Anja, 1997. "Schätzen und Testen in semiparametrischen partiell linearen Modellen für die Paneldatenanalyse," Hannover Economic Papers (HEP) dp-208, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    29. Jia Chen & Jiti Gao & Degui Li, 2010. "Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions," School of Economics and Public Policy Working Papers 2010-09, University of Adelaide, School of Economics and Public Policy.
    30. Manzan, Sebastiano & Zerom, Dawit, 2005. "Kernel estimation of a partially linear additive model," Statistics & Probability Letters, Elsevier, vol. 72(4), pages 313-322, May.
    31. Delgado, Michael S. & Parmeter, Christopher F., 2014. "A simple estimator for partial linear regression with endogenous nonparametric variables," Economics Letters, Elsevier, vol. 124(1), pages 100-103.
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    Cited by:

    1. Roberto Martino & Phu Nguyen-Van, 2016. "Environmental Kuznets curve and environmental convergence: A unified empirical framework for CO2 emissions," Working Papers of BETA 2016-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Hamadi, Malika & Heinen, Andréas, 2015. "Firm performance when ownership is very concentrated: Evidence from a semiparametric panel," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 172-194.
    3. Bruna, Maria Giuseppina & Đặng, Rey & Houanti, L'hocine & Sahut, Jean-Michel & Simioni, Michel, 2022. "By what way women on corporate boards influence corporate social performance? Evidence from a semiparametric panel model," Finance Research Letters, Elsevier, vol. 49(C).
    4. Jawara, Hamidou & Thiele, Rainer, 2018. "The nutrient-income elasticity in ultra-poor households: Evidence from Kenya," Kiel Working Papers 2114, Kiel Institute for the World Economy (IfW Kiel).
    5. Myrto Kasioumi & Thanasis Stengos, 2020. "The Environmental Kuznets Curve with Recycling: A Partially Linear Semiparametric Approach," JRFM, MDPI, vol. 13(11), pages 1-26, November.
    6. Qian, Junhui & Wang, Le, 2009. "Estimating Semiparametric Panel Data Models by Marginal Integration," MPRA Paper 18850, University Library of Munich, Germany.
    7. Kien Tran & Efthymios Tsionas, 2010. "Local GMM Estimation of Semiparametric Panel Data with Smooth Coefficient Models," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 39-61.
    8. Laté Ayao Lawson & Roberto Martino & Phu Nguyen-Van, 2020. "Environmental convergence and environmental Kuznets curve : A unified empirical framework," Post-Print hal-03098130, HAL.
    9. Li, Qi, 1996. "On the root-N-consistent semiparametric estimation of partially linear models," Economics Letters, Elsevier, vol. 51(3), pages 277-285, June.
    10. Nguyen-Van, Phu, 2010. "Energy consumption and income: A semiparametric panel data analysis," Energy Economics, Elsevier, vol. 32(3), pages 557-563, May.
    11. Konrad Lyncker & Rasmus Thoennessen, 2017. "Regional club convergence in the EU: evidence from a panel data analysis," Empirical Economics, Springer, vol. 52(2), pages 525-553, March.
    12. Phu Nguyen Van, 2008. "Energy consumption and economic development:a semiparametric panel analysis," THEMA Working Papers 2008-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    13. Antonio Musolesi & Massimiliano Mazzanti, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic developement relation for advanced countries," Post-Print hal-01123027, HAL.
    14. Zongwu Cai & Ying Fang & Henong Li, 2013. "Weak Instrumental Variables Models for Longitudinal Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    15. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    16. Tuukka Saarimaa & Mika Kortelainen, 2012. "Do Homeowners Benefit the Neighborhood? Evidence from Semiparametric Hedonic Regressions," ERSA conference papers ersa12p472, European Regional Science Association.
    17. Adolfo Maza & José Villaverde, 2004. "Migratory flows in Spain: a nonparametric and semiparametric approach," ERSA conference papers ersa04p50, European Regional Science Association.
    18. Cavallaro, Eleonora & Villani, Ilaria, 2021. "Real income convergence and the patterns of financial integration in the EU," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    19. Bindele, Huybrechts F. & Abebe, Ash, 2015. "Semi-parametric rank regression with missing responses," Journal of Multivariate Analysis, Elsevier, vol. 142(C), pages 117-132.
    20. Su, Liangjun & Ullah, Aman, 2006. "Profile likelihood estimation of partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 92(1), pages 75-81, July.
    21. Jia Chen & Jiti Gao & Degui Li, 2011. "Estimation in Partially Linear Single-Index Panel Data Models with Fixed Effects," Monash Econometrics and Business Statistics Working Papers 14/11, Monash University, Department of Econometrics and Business Statistics.
    22. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.
    23. Mukherjee, D., 2006. "Is the Rate of ‘Convergence’ Always Constant? Some Empirical Evidence from Sector Level Data of 56 countries, 1975-99," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 6(2).
    24. Li, Gaorong & Peng, Heng & Tong, Tiejun, 2013. "Simultaneous confidence band for nonparametric fixed effects panel data models," Economics Letters, Elsevier, vol. 119(3), pages 229-232.
    25. Cavallaro, Eleonora & Villani, Ilaria, 2022. "Beyond financial deepening: Rethinking the finance-growth relationship in an uneven world," Economic Modelling, Elsevier, vol. 116(C).
    26. Li, Cong & Liang, Zhongwen, 2015. "Asymptotics for nonparametric and semiparametric fixed effects panel models," Journal of Econometrics, Elsevier, vol. 185(2), pages 420-434.
    27. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
    28. Badi H. Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: a Bayesian Semiparametric Model With Random Coefficients for a Panel of OECD Countries," Advances in Econometrics, in: Essays in Honor of Cheng Hsiao, volume 41, pages 217-253, Emerald Group Publishing Limited.
    29. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    30. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    31. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
    32. Olaf Hübler, 2006. "Multilevel and nonlinear panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 121-136, March.
    33. Bogui Li & Jianbao Chen & Shuangshuang Li, 2023. "Estimation of Fixed Effects Partially Linear Varying Coefficient Panel Data Regression Model with Nonseparable Space-Time Filters," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    34. Green, Carl & Long, Wei & Hsiao, Cheng, 2015. "Testing error serial correlation in fixed effects nonparametric panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 466-473.
    35. Xiao Huang, 2013. "Nonparametric Estimation in Large Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 754-777, August.
    36. Kan K & Lee M, 2009. "Lose Weight for Money Only if Over-Weight: Marginal Integration for Semi-Linear Panel Models," Health, Econometrics and Data Group (HEDG) Working Papers 09/19, HEDG, c/o Department of Economics, University of York.
    37. Saarimaa, Tuukka & Kortelainen, Mika, 2012. "Do homeowners benefit urban neighborhoods? Evidence from housing prices," Working Papers 36, VATT Institute for Economic Research.
    38. Su, Liangjun & Ullah, Aman, 2007. "More efficient estimation of nonparametric panel data models with random effects," Economics Letters, Elsevier, vol. 96(3), pages 375-380, September.
    39. Zhang, Junhua & Feng, Sanying & Li, Gaorong & Lian, Heng, 2011. "Empirical likelihood inference for partially linear panel data models with fixed effects," Economics Letters, Elsevier, vol. 113(2), pages 165-167.
    40. Evan Herrnstadt & Ryan Kellogg & Eric Lewis, 2024. "Drilling Deadlines and Oil and Gas Development," Econometrica, Econometric Society, vol. 92(1), pages 29-60, January.
    41. Kusum Mundra, 2005. "Nonparametric Slope Estimators for Fixed-Effect Panel Data," Econometrics 0502008, University Library of Munich, Germany.
    42. Lien, Donald & Hu, Yue & Liu, Long, 2017. "A note on using ratio variables in regression analysis," Economics Letters, Elsevier, vol. 150(C), pages 114-117.
    43. Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.
    44. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    45. Adolfo Maza, 2006. "Wage flexibility and the EMU: a nonparametric and semiparametric analysis for the Spanish case," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 733-736.
    46. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    47. König, Anja, 1997. "Schätzen und Testen in semiparametrischen partiell linearen Modellen für die Paneldatenanalyse," Hannover Economic Papers (HEP) dp-208, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    48. Jia Chen & Jiti Gao & Degui Li, 2010. "Estimation in Single-Index Panel Data Models with Heterogeneous Link Functions," School of Economics and Public Policy Working Papers 2010-09, University of Adelaide, School of Economics and Public Policy.
    49. Cai, Zongwu & Li, Qi, 2008. "Nonparametric Estimation Of Varying Coefficient Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1321-1342, October.
    50. Mazzanti, Massimiliano & Musolesi, Antonio, 2013. "Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries," Climate Change and Sustainable Development 162374, Fondazione Eni Enrico Mattei (FEEM).
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    1. Azomahou, Théophile & Laisney, François & van Phu, Nguyen, 2005. "Economic Development and CO2 Emissions: A Nonparametric Panel Approach," ZEW Discussion Papers 05-56, ZEW - Leibniz Centre for European Economic Research.
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    4. Thanasis Stengos & Eleftherios Zaharias, 2002. "Intertemporal Pricing and Price Discrimination: A Semiparametric Hedonic Analysis of the Personal Computer Market," University of Cyprus Working Papers in Economics 0211, University of Cyprus Department of Economics.
    5. Lavergne, Pascal, 2001. "An equality test across nonparametric regressions," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 307-344, July.
    6. Shahbaz, Muhammad & Shafiullah, Muhammad & Papavassiliou, Vassilios & Hammoudeh, Shawkat, 2017. "The CO2-Growth nexus revisited: A nonparametric analysis for G7 economies over nearly two centuries," MPRA Paper 79019, University Library of Munich, Germany, revised 07 May 2017.
    7. Javier Hidalgo & Jungyoon Lee, 2014. "A Cusum Test of Common Trends in Large Heterogeneous Panels," STICERD - Econometrics Paper Series 576, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    8. Carlos A. Flores, 2007. "Estimation of Dose-Response Functions and Optimal Doses with a Continuous Treatment," Working Papers 0707, University of Miami, Department of Economics.
    9. Su, Liangjun & Jin, Sainan, 2012. "Sieve estimation of panel data models with cross section dependence," Journal of Econometrics, Elsevier, vol. 169(1), pages 34-47.
    10. Boneva, Lena & Linton, Oliver & Vogt, Michael, 2015. "A semiparametric model for heterogeneous panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 327-345.
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    13. Hall, Peter & Yatchew, Adonis, 2005. "Unified approach to testing functional hypotheses in semiparametric contexts," Journal of Econometrics, Elsevier, vol. 127(2), pages 225-252, August.
    14. Gregory Connor & Oliver Linton & Matthias Hagmann, 2007. "Efficient Estimation of a Semiparametric Characteristic-Based Factor Model of Security Returns," FMG Discussion Papers dp599, Financial Markets Group.
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    6. Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Discussion Paper 2002-87, Tilburg University, Center for Economic Research.
    7. El Ghouch, Anouar & Genton, Marc G. & Bouezmarni , Taoufik, 2012. "Measuring the Discrepancy of a Parametric Model via Local Polynomial Smoothing," LIDAM Discussion Papers ISBA 2012001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    8. Gao, Jiti & Linton, Oliver & Peng, Bin, 2020. "Inference On A Semiparametric Model With Global Power Law And Local Nonparametric Trends," Econometric Theory, Cambridge University Press, vol. 36(2), pages 223-249, April.
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    1. Jackson, Matthew O., 1999. "A Crash Course in Implementation Theory," Working Papers 1076, California Institute of Technology, Division of the Humanities and Social Sciences.
    2. Tian, Guoqiang, 2003. "A solution to the problem of consumption externalities," Journal of Mathematical Economics, Elsevier, vol. 39(8), pages 831-847, November.
    3. Sébastien Rouillon, 2013. "Anonymous implementation of the Lindahl correspondence: possibility and impossibility results," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(4), pages 1179-1203, April.
    4. Tian, Guoqiang, 2000. "Double implementation of linear cost share equilibrium allocations," Mathematical Social Sciences, Elsevier, vol. 40(2), pages 175-189, September.
    5. Hassan Benchekroun & Charles Figuières & Mabel Tidball, 2016. "Implementation of the Lindahl Correspondance via Simple Indirect Mechanisms," Working Papers halshs-01378460, HAL.
    6. Tymon Słoczyński, 2012. "Zastosowanie zasady równych ofiar do oceny sprawiedliwości taryfy podatku dochodowego od osób fizycznych (PIT) w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 23-47.
    7. Tian, Guoqiang, 2000. "Implementation of balanced linear cost share equilibrium solution in Nash and strong Nash equilibria," Journal of Public Economics, Elsevier, vol. 76(2), pages 239-261, May.

  91. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.

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    2. Andree Ehlert & Dirk Oberschachtsiek & Stefan Prawda, 2013. "Cost Containment and Managed Care: Evidence from German Macro Data," Working Paper Series in Economics 284, University of Lüneburg, Institute of Economics.
    3. Katsushi Imai & Raghav Gaiha & Ganesh Thapa, 2008. "Supply response to changes in agricultural commodity prices in Asian countries," Economics Discussion Paper Series 0808, Economics, The University of Manchester.
    4. Silvia Marchesi & Alessandro Missale, 2012. "How defensive were lending and aid to HIPC?," Working Papers 220, University of Milano-Bicocca, Department of Economics, revised Feb 2012.
    5. Silvia Marchesi & Laura Sabani, 2007. "IMF concern for reputation and conditional lending failure: theory and empirics," Working Papers 114, University of Milano-Bicocca, Department of Economics, revised 2007.
    6. Giorgio Calzolari & Laura Magazzini, 2009. "Autocorrelation and masked heterogeneity in panel data models estimated by maximum likelihood," Working Papers 53/2009, University of Verona, Department of Economics.
    7. Ashu Tiwari & Archana Patro, 2018. "Memory, Risk Aversion, and Nonlife Insurance Consumption: Evidence from Emerging and Developing Markets," Risks, MDPI, vol. 6(4), pages 1-17, December.
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    9. Baltagi, Badi H. & Heun Song, Seuck & Cheol Jung, Byoung & Koh, Won, 2007. "Testing for serial correlation, spatial autocorrelation and random effects using panel data," Journal of Econometrics, Elsevier, vol. 140(1), pages 5-51, September.
    10. Olatunji A. Shobande & Simplice A. Asongu, 2022. "The Critical Role of Education and ICT in Promoting Environmental Sustainability in Eastern and Southern Africa: A Panel VAR Approach," Working Papers of the African Governance and Development Institute. 22/006, African Governance and Development Institute..
    11. Wojciech Charemza & Svetlana Makarova & Krzysztof Rybiński, 2023. "Anti-pandemic restrictions, uncertainty and sentiment in seven countries," Economic Change and Restructuring, Springer, vol. 56(1), pages 1-27, February.
    12. V. Ball & Carlos San-Juan-Mesonada & Camilo Ulloa, 2014. "State productivity growth in agriculture: catching-up and the business cycle," Journal of Productivity Analysis, Springer, vol. 42(3), pages 327-338, December.
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    26. Franklin E. Zimring & Jeffrey Fagan & David T. Johnson, 2010. "Executions, Deterrence, and Homicide: A Tale of Two Cities," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 7(1), pages 1-29, March.
    27. Jan Brzozowski & Marco Cucculelli & Aleksander Surdej, 2014. "Transnational ties and performance of immigrant entrepreneurs: the case of IT industry in Italy," Mo.Fi.R. Working Papers 98, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    28. Anil Bera & Walter Sosa Escudero & Mann Yoon, 2000. "Test for the Error Component Model in the Presence of Local Misspecification," Department of Economics, Working Papers 022, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    29. Arpaia, Alfonso & Pichelmann, Karl, 2007. "Nominal and real wage flexibility in EMU," MPRA Paper 4364, University Library of Munich, Germany.
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    31. T. Berger & G. Everaert, 2006. "Unemployment in the OECD since the 1960s. Do we really know?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/425, Ghent University, Faculty of Economics and Business Administration.
    32. Martin Rigelský & Beata Gavurova & Ladislav Suhanyi & Radovan Bačík & Viera Ivankova, 2021. "The effect of institutional innovations on tourism spending in developed countries," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(2), pages 457-472, December.
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    36. Carfora, Alfonso & Romano, Antonio A. & Ronghi, Monica & Scandurra, Giuseppe, 2017. "Renewable generation across Italian regions: Spillover effects and effectiveness of European Regional Fund," Energy Policy, Elsevier, vol. 102(C), pages 132-141.
    37. João Silva Moura Neto & Nelson Marconi & Paulo Eduardo Moledo Palombo & Paulo Roberto Arvate, 2006. "Vertical Transfers And The Appropriation Of Resources By The Bureaucracy: The Case Of Brazilian State Governments," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 136, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    38. Ashu Tiwari & Archana Patro & Imlak Shaikh, 2019. "Information Communication Technology-Enabled Platforms and P&C Insurance Consumption: Evidence from Emerging & Developing Economies," Review of Economics & Finance, Better Advances Press, Canada, vol. 15, pages 81-95, February.
    39. Juraj Hruška, 2016. "Aggressive and Defensive High-Frequency Trading and its Impact on Liquidity of German Stock Market," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 64(6), pages 1911-1918.
    40. Tomáš HAVRà NEK & Zuzana IRÅ OVÃ, 2010. "On the Intensity of International Subsidy Competition for FDI," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 2(2(543)), pages 25-54, February.
    41. Won Koh & Byoung Cheol Jung & Badi H. Baltagi & Seuck Heun Song, 2004. "Testing for Serial Correlation, Spatial Autocorrelation and Random Effects," Econometric Society 2004 Australasian Meetings 338, Econometric Society.
    42. Alessandro Missale & Silvia Marchesi, 2004. "What does motivate lending and aid to the HIPCs?," International Finance 0411006, University Library of Munich, Germany.
    43. Badi H. Baltagi & Byoung Cheol Jung & Seuck Heun Song, 2008. "Testing for Heteroskedasticity and Serial Correlation in a Random Effects Panel Data Model," Center for Policy Research Working Papers 111, Center for Policy Research, Maxwell School, Syracuse University.
    44. Jochen Güntner, 2017. "How do oil producers respond to giant oil field discoveries?," Economics working papers 2017-04, Department of Economics, Johannes Kepler University Linz, Austria.
    45. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    46. Serap Bedir Kara & Aysegul Coskun, 2020. "The Impact of Gender Inequalities in Education on Income Corporate Social Responsibility (CSR)," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 8(4), pages 148-162.
    47. Tomáš Havránek, 2009. "Subsidy Competition for FDI: Fierce or Weak?," Working Papers IES 2009/07, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2009.
    48. L. Nunziata, 2002. "Institutions and Wage Determination: A Multi-Country Approach," Working Papers 433, Dipartimento Scienze Economiche, Universita' di Bologna.
    49. Berger, Tino & Everaert, Gerdie, 2010. "Labour taxes and unemployment evidence from a panel unobserved component model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 354-364, March.
    50. Jaya Krishnakumar, 2002. "A SUR-EC-AR System Gravity Model of Trade," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B4-4, International Conferences on Panel Data.
    51. Guven, Murat & Cetinguc, Basak & Guloglu, Bulent & Calisir, Fethi, 2022. "The effects of daily growth in COVID-19 deaths, cases, and governments’ response policies on stock markets of emerging economies," Research in International Business and Finance, Elsevier, vol. 61(C).
    52. Luca NUNZIATA & Stefano STAFFOLANI, 2001. "On Short-term Contracts Regulations," Working Papers 150, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    53. Bohlin, Jan & Eurenius, Anna-Maria, 2010. "Why they moved -- Emigration from the Swedish countryside to the United States, 1881-1910," Explorations in Economic History, Elsevier, vol. 47(4), pages 533-551, October.
    54. Eskelinen, Juha & Kuosmanen, Timo, 2013. "Intertemporal efficiency analysis of sales teams of a bank: Stochastic semi-nonparametric approach," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5163-5175.
    55. James F. Ragan & Bernt Bratsberg, 2000. "Un‐COLA: Why Have Cost‐of‐Living Clauses Disappeared from Union Contracts and Will They Return?," Southern Economic Journal, John Wiley & Sons, vol. 67(2), pages 304-324, October.
    56. Joilson Dias & John McDermott, 2011. "Institutions, Humancapital And Economic Growth: A New Theoretical And Empirical Approach," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 83, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
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    62. Silvia Marchesi & Alessandro Missale, 2012. "Did high debts distort loans and grants allocation to IDA countries?," Working Papers 226, University of Milano-Bicocca, Department of Economics, revised Aug 2012.
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    66. Benjamin Born & Jörg Breitung, 2016. "Testing for Serial Correlation in Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1290-1316, August.
    67. Chang, Ching-Cheng & Chen, Chi-Chung, 2002. "Climate Change And Crop Yield Distribution: Some New Evidence From Panel Data Models And Implications For Crop Insurance," 2002 Annual meeting, July 28-31, Long Beach, CA 19589, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    68. Tino Berger & Gerdie Everaert, 2009. "A replication note on unemployment in the OECD since the 1960s: what do we know?," Empirical Economics, Springer, vol. 36(2), pages 479-485, May.

  92. Tian Guoqiang & Li Qi, 1995. "On Nash-Implementation in the Presence of Withholding," Games and Economic Behavior, Elsevier, vol. 9(2), pages 222-233, May.

    Cited by:

    1. Allen N. Berger & Anil K. Kashyap & Joseph M. Scalise, 1995. "The Transformation of the U.S. Banking Industry: What a Long, Strange Trips It's Been," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 26(2), pages 55-218.
    2. Jackson, Matthew O., 1999. "A Crash Course in Implementation Theory," Working Papers 1076, California Institute of Technology, Division of the Humanities and Social Sciences.
    3. Corchón, Luis C., 2008. "The theory of implementation : what did we learn?," UC3M Working papers. Economics we081207, Universidad Carlos III de Madrid. Departamento de Economía.
    4. Luis Corchón & Matteo Triossi, 2008. "Implementation with renegotiation when preferences and feasible sets are state dependent," Documentos de Trabajo 255, Centro de Economía Aplicada, Universidad de Chile.
    5. Naoki Yoshihara & Akira Yamada, 2018. "Nash Implementation in Production Economies with Unequal Skills: A Characterization," Working Papers SDES-2018-18, Kochi University of Technology, School of Economics and Management, revised Dec 2018.
    6. Matteo Triossi & Luis Corchón, 2006. "Implementation with State Dependent Feasible Sets and Preferences: A Renegotiation Approach," Carlo Alberto Notebooks 24, Collegio Carlo Alberto.
    7. Guoqiang Tian, 1999. "Bayesian implementation in exchange economies with state dependent preferences and feasible sets," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 16(1), pages 99-119.

  93. Yanqin Fan & Qi Li, 1995. "Bootstrapping J-type tests for non-nested regression models," Economics Letters, Elsevier, vol. 48(2), pages 107-112, May.

    Cited by:

    1. J M C Santos Silva, 1996. "A Score Test for Non-nested Hypotheses with Applications to Discrete Data Models," Discussion Papers 96-28 ISSN 1350-6722, University College London, Department of Economics.
    2. Davidson, Russell & MacKinnon, James G., 1997. "Bootstrap Tests of Nonnested Linear Regression Models," Queen's Institute for Economic Research Discussion Papers 273388, Queen's University - Department of Economics.
    3. Luger, Richard, 2006. "Exact permutation tests for non-nested non-linear regression models," Journal of Econometrics, Elsevier, vol. 133(2), pages 513-529, August.
    4. Nicholas Apergis & John Sorros, 2010. "Disaggregated Earnings and Stock Prices: Evidence from International Listed Shipping Firms," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(3), pages 269-281, August.
    5. Bernard Fingleton & Silvia Palombi, 2016. "Bootstrap J -Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 7-26, March.
    6. Choi, Hwan-sik & Kiefer, Nicholas M., 2006. "Robust Model Selection in Dynamic Models with an Application to Comparing Predictive Accuracy," Working Papers 06-09, Cornell University, Center for Analytic Economics.
    7. Francisco Cribari-Neto & Sadraque E.F. Lucena, 2015. "Nonnested hypothesis testing in the class of varying dispersion beta regressions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 967-985, May.
    8. Hagemann, Andreas, 2012. "A simple test for regression specification with non-nested alternatives," Journal of Econometrics, Elsevier, vol. 166(2), pages 247-254.
    9. Yang, Ji-Chung, 2005. "Impact measurement for public investment evaluation: An application to Korea," Journal of Policy Modeling, Elsevier, vol. 27(5), pages 535-551, July.
    10. Maria-Isabel Ayuda & Antonio Aznar, 2000. "Power in non-nested models: a comparative study," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 483-486.
    11. BHATTI, M.Ishaq & BODLA, Mahmud, A., 2008. "Empirical Power Comparison Of Non-Nested Tests For The Evm: Some Monte Carlo Evidence," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 5(2).
    12. Godfrey, L. G., 1998. "Tests of non-nested regression models some results on small sample behaviour and the bootstrap," Journal of Econometrics, Elsevier, vol. 84(1), pages 59-74, May.
    13. Debarsy, Nicolas & Ertur, Cem, 2019. "Interaction matrix selection in spatial autoregressive models with an application to growth theory," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 49-69.
    14. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.
    15. Russell Davidson & James MacKinnon, 2002. "Fast Double Bootstrap Tests Of Nonnested Linear Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 419-429.
    16. Doug Rolph, 1999. "Federal Funds Futures, Spot Rates, and Expected Changes in Monetary Policy," Computing in Economics and Finance 1999 853, Society for Computational Economics.

  94. Li, Qi & Stengos, Thanasis, 1994. "Adaptive Estimation in the Panel Data Error Component Model with Heteroskedasticity of Unknown Form," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(4), pages 981-1000, November.
    See citations under working paper version above.
  95. Tian Guoqiang & Li Qi, 1994. "An Implementable State-Ownership System with General Variable Returns," Journal of Economic Theory, Elsevier, vol. 64(1), pages 286-297, October.

    Cited by:

    1. Tian, Guoqiang, 2000. "Double implementation of linear cost share equilibrium allocations," Mathematical Social Sciences, Elsevier, vol. 40(2), pages 175-189, September.
    2. Tian, Guoqiang & Li, Qi, 1995. "Ratio-Lindahl equilibria and an informationally efficient and implementable mixed-ownership system," Journal of Economic Behavior & Organization, Elsevier, vol. 26(3), pages 391-411, May.
    3. Tian, Guoqiang, 2000. "Incentive Mechanism Design for Production Economies with Both Private and Public Ownerships," Games and Economic Behavior, Elsevier, vol. 33(2), pages 294-320, November.
    4. Tian, Guoqiang, 2000. "Implementation of balanced linear cost share equilibrium solution in Nash and strong Nash equilibria," Journal of Public Economics, Elsevier, vol. 76(2), pages 239-261, May.

  96. Tian Guoqiang & Li Qi, 1994. "Ratio-Lindahl and Ratio Equilibria with Many Goods," Games and Economic Behavior, Elsevier, vol. 7(3), pages 441-460, November.

    Cited by:

    1. Tian, Guoqiang & Li, Qi, 1995. "Ratio-Lindahl equilibria and an informationally efficient and implementable mixed-ownership system," Journal of Economic Behavior & Organization, Elsevier, vol. 26(3), pages 391-411, May.
    2. Currarini, Sergio, 2002. "Voting on public goods in multi-jurisdictional systems," Research in Economics, Elsevier, vol. 56(2), pages 215-230, June.
    3. Tian, Guoqiang, 2000. "Implementation of balanced linear cost share equilibrium solution in Nash and strong Nash equilibria," Journal of Public Economics, Elsevier, vol. 76(2), pages 239-261, May.

  97. Baltagi, Badi H. & Chang, Young-Jae & Li, Qi, 1993. "Monte Carlo results on several new and existing tests for the error component model (Vol. 54, No. 1-3 (1992) pp. 95-120)," Journal of Econometrics, Elsevier, vol. 59(3), pages 405-405, October.

    Cited by:

    1. Caliman, Tiziana & Di Bella, Enrico, 2011. "House Price Dynamics in Italy - La dinamica delle quotazioni immobiliari in Italia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 64(1), pages 37-65.

  98. Baltagi, Badi H. & Li, Qi, 1992. "A Note on the Estimation of Simultaneous Equations with Error Components," Econometric Theory, Cambridge University Press, vol. 8(1), pages 113-119, March.

    Cited by:

    1. AMBA OYON, Claude Marius & Mbratana, Taoufiki, 2017. "Simultaneous equation models with spatially autocorrelated error components," MPRA Paper 82395, University Library of Munich, Germany.
    2. Håkan Selin, 2012. "Marginal Tax Rates and Tax‐Favoured Pension Savings of the Self‐Employed: Evidence from Sweden," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(1), pages 79-100, March.
    3. Hitzhusen, Frederick J. & Jeanty, Pierre Wilner, 2006. "Analyzing the Effects of Conflicts on Food Security in Developing Countries: An Instrumental Variable Panel Data Approach," 2006 Annual meeting, July 23-26, Long Beach, CA 21483, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Baltagi, Badi H. & Liu, Long, 2009. "A note on the application of EC2SLS and EC3SLS estimators in panel data models," Statistics & Probability Letters, Elsevier, vol. 79(20), pages 2189-2192, October.
    5. Nigel Driffield & Sarmistha Pal, 2007. "How Does Ownership Structure Affect Capital Structure and Firm Value? Recent Evidence from East Asia," CEDI Discussion Paper Series 07-04, Centre for Economic Development and Institutions(CEDI), Brunel University.
    6. Yuko Kinoshita & Chia-Hui Lu, 2006. "On the Role of Absorptive Capacity: FDI Matters to Growth," William Davidson Institute Working Papers Series wp845, William Davidson Institute at the University of Michigan.
    7. Jan F. KIVIET & Qu FENG, 2014. "Efficiency Gains by Modifying GMM Estimation in Linear Models under Heteroskedasticity," Economic Growth Centre Working Paper Series 1413, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    8. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    9. Han, Chirok, 2016. "Efficiency comparison of random effects two stage least squares estimators," Economics Letters, Elsevier, vol. 148(C), pages 59-62.
    10. Mário Jorge Mendonça & Paulo R. A. Loureiro & Antônio Nascimento & Roberto Ellery, 2021. "Assessment of the effect of broadband expansion on the economy reviewed," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2414-2432, November.
    11. Leyla D. Karakas & Nam Seok Kim & Devashish Mitra, 2021. "Attitudes Towards Globalization Barriers and Implications for Voting: Evidence from Sweden," CESifo Working Paper Series 9236, CESifo.
    12. Aggarwal, Raj & Goodell, John W., 2011. "International variations in expected equity premia: Role of financial architecture and governance," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3090-3100, November.
    13. Álvarez, Inmaculada C. & Barbero, Javier & Zofío, José L., 2017. "A Panel Data Toolbox for MATLAB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i06).
    14. Manjón-Antolín, Miguel C., 2010. "Firm size and short-term dynamics in aggregate entry and exit," International Journal of Industrial Organization, Elsevier, vol. 28(5), pages 464-476, September.
    15. Trapani, Lorenzo & Urga, Giovanni, 2009. "Optimal forecasting with heterogeneous panels: A Monte Carlo study," International Journal of Forecasting, Elsevier, vol. 25(3), pages 567-586, July.
    16. Nigel Driffield & Vidya Mahambare & Sarmistha Pal, 2005. "How Ownership Structure Affects Capital Structure and Firm Performance? Recent Evidence from East Asia," Finance 0505010, University Library of Munich, Germany.
    17. J. Arauzo & M. Manjón & M. Martín & A. Segarra, 2007. "Regional and Sector-specific Determinants of Industry Dynamics and the Displacement–replacement Effects," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(2), pages 89-115, April.
    18. Lina Lu, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    19. Pennerstorfer, Dieter & Weiss, Christoph R., 2011. "Do Cooperatives Offer High Quality Products? Theory and Empirical Evidence from the Wine Market," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115741, European Association of Agricultural Economists.
    20. Aniket A. Kawatkar & Joel W. Hay & William Stohl & Michael B. Nichol, 2013. "Incremental Expenditure Of Biologic Disease Modifying Antirheumatic Treatment Using Instrumental Variables In Panel Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(7), pages 807-823, July.

  99. Baltagi, Badi H. & Chang, Young-Jae & Li, Qi, 1992. "Monte Carlo results on several new and existing tests for the error component model," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 95-120.

    Cited by:

    1. Blanchard, Pierre & Matyas, Laszlo, 1996. "Robustness of tests for error components models to non-normality," Economics Letters, Elsevier, vol. 51(2), pages 161-167, May.
    2. Geoffrey Shuetrim & Philip Lowe & Steve Morling, 1993. "The Determinants of Corporate Leverage: A Panel Data Analysis," RBA Research Discussion Papers rdp9313, Reserve Bank of Australia.
    3. Wu, Jianhong & Zhu, Lixing, 2011. "Testing for serial correlation and random effects in a two-way error component regression model," Economic Modelling, Elsevier, vol. 28(6), pages 2377-2386.
    4. Federico Zincenko & Walter Sosa-Escudero & Gabriel Montes-Rojas, 2014. "Robust tests for time-invariant individual heterogeneity versus dynamic state dependence," Empirical Economics, Springer, vol. 47(4), pages 1365-1387, December.
    5. Alberto HOLLY & Lucien GARDIOL, 1999. "A Score Test for Individual Heteroscedasticity in a One-way Error Components Model," Cahiers de Recherches Economiques du Département d'économie 9915, Université de Lausanne, Faculté des HEC, Département d’économie.
    6. Herwartz, Helmut, 2006. "Testing for random effects in panel data under cross sectional error correlation--A bootstrap approach to the Breusch Pagan test," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3567-3591, August.
    7. Péter Füleky & István Szapudi, 2022. "Bird’s Eye View of COVID-19, Mobility, and Labor Market Outcomes Across the US," Economics of Disasters and Climate Change, Springer, vol. 6(2), pages 339-353, July.
    8. Badi H. Baltagi & Seuck Heun Song & Won Koh, 2002. "Testing Panel Data Regression Models with Spatial Error Correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-4, International Conferences on Panel Data.
    9. Chen, Jing & Yue, Rongxian & Wu, Jianhong, 2020. "Testing for individual and time effects in the two-way error component model with time-invariant regressors," Economic Modelling, Elsevier, vol. 92(C), pages 216-229.
    10. Wu, Jianhong & Li, Guodong & Xia, Qiang, 2018. "Moment-based tests for random effects in the two-way error component model with unbalanced panels," Economic Modelling, Elsevier, vol. 74(C), pages 61-76.
    11. Anil Bera & Walter Sosa Escudero & Mann Yoon, 2000. "Test for the Error Component Model in the Presence of Local Misspecification," Department of Economics, Working Papers 022, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    12. Walter Sosa Escudero, 2007. "Testing for Persistence in the Error Component Model:A One-Sided Approach," Working Papers 94, Universidad de San Andres, Departamento de Economia, revised Feb 2007.
    13. Badi Baltagi & Seuck Heun Song & Byoung Cheol Jung, 2002. "Simple Lm Tests For The Unbalanced Nested Error Component Regression Model," Econometric Reviews, Taylor & Francis Journals, vol. 21(2), pages 167-187.
    14. Walter Sosa Escudero & Federico Zincenko, 2008. "Tests for Dynamic Effects in Linear Panel Data Models," Working Papers 95, Universidad de San Andres, Departamento de Economia, revised Feb 2008.
    15. Badi H. Baltagi & Zhenlin Yang, 2013. "Standardized LM tests for spatial error dependence in linear or panel regressions," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 103-134, February.
    16. Hajamini, Mehdi, 2015. "The non-linear effect of population growth and linear effect of age structure on per capita income: A threshold dynamic panel structural model," Economic Analysis and Policy, Elsevier, vol. 46(C), pages 43-58.
    17. Kusum Mundra, 2005. "Nonparametric Slope Estimators for Fixed-Effect Panel Data," Econometrics 0502008, University Library of Munich, Germany.
    18. C. R. McKenzie & Sumiko Takaoka, 2003. "2002: A LIMDEP odyssey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 241-247.
    19. Caliman, Tiziana & Di Bella, Enrico, 2011. "House Price Dynamics in Italy - La dinamica delle quotazioni immobiliari in Italia," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 64(1), pages 37-65.
    20. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    21. Chris D. Orme & Takashi Yamagata, 2006. "The asymptotic distribution of the F-test statistic for individual effects," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 404-422, November.
    22. He, Ming & Lin, Kuan-Pin, 2015. "Testing spatial effects and random effects in a nested panel data model," Economics Letters, Elsevier, vol. 135(C), pages 85-91.
    23. Wu, Jianhong, 2016. "Robust random effects tests for two-way error component models with panel data," Economic Modelling, Elsevier, vol. 59(C), pages 1-8.
    24. Wu, Jianhong & Li, Guodong, 2014. "Moment-based tests for individual and time effects in panel data models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 569-581.
    25. José Antonio Morales Castro & Francisco López-Herrera, 2021. "Ganancias cambiarias en empresas mexicanas y variables fundamentales y económicas," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(2), pages 1-21, Abril - J.
    26. Yue Cheng & Christopher J. Green, 2008. "Taxes And Capital Structure: A Study Of European Companies," Manchester School, University of Manchester, vol. 76(s1), pages 85-115, September.
    27. Lu, Xun & Su, Liangjun, 2020. "Determining individual or time effects in panel data models," Journal of Econometrics, Elsevier, vol. 215(1), pages 60-83.
    28. Erling Häggström, 2002. "Properties of Honda’s test of random individual effects in non-linear regressions," Statistical Papers, Springer, vol. 43(2), pages 177-196, April.

  100. Baltagi, Badi H. & Li, Qi, 1992. "A monotonic property for iterative GLS in the two-way random effects model," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 45-51.

    Cited by:

    1. Biorn, Erik & Hagen, Terje P. & Iversen, Tor & Magnussen, Jon, 2002. "The Effect of Activity-Based Financing on Hospital Efficiency: A Panel Data Analysis of DEA Efficiency Scores 1992-2000," MPRA Paper 8099, University Library of Munich, Germany.
    2. Biorn, Erik, 2004. "Regression systems for unbalanced panel data: a stepwise maximum likelihood procedure," Journal of Econometrics, Elsevier, vol. 122(2), pages 281-291, October.
    3. Liangjun Su & Zhenlin Yang, 2008. "Asymptotics and Bootstrap for Transformed Panel Data Regressions," Development Economics Working Papers 22477, East Asian Bureau of Economic Research.

  101. Baltagi, Badi H. & Chang, Young-Jae & Li, Qi, 1992. "Monte Carlo evidence on panel data regressions with AR(1) disturbances and an arbitrary variance on the initial observations," Journal of Econometrics, Elsevier, vol. 52(3), pages 371-380, June.

    Cited by:

    1. Chihwa Kao & Jamie Emerson, 1998. "On the Estimation of a Linear Time Trend Regression with a One- Way Error Component Model in the Presence of Serially Correlated Errors," Econometrics 9805004, University Library of Munich, Germany.
    2. Badi Baltagi & Long Liu, 2020. "Forecasting with Unbalanced Panel Data," Center for Policy Research Working Papers 221, Center for Policy Research, Maxwell School, Syracuse University.
    3. Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013. "Panel data models with multiple time-varying individual effects," Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
    4. Dragan Miljkovic & Gary Brester & John Marsh, 2003. "Exchange rate pass-through, price discrimination, and US meat export prices," Applied Economics, Taylor & Francis Journals, vol. 35(6), pages 641-650.
    5. Phillips, Robert F., 2004. "Estimation of a generalized random-effects model: some ECME algorithms and Monte Carlo evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 28(9), pages 1801-1824, July.

  102. Li, Qi & Stengos, Thanasis, 1992. "A Hausman specification test based on root-N-consistent semiparametric estimators," Economics Letters, Elsevier, vol. 40(2), pages 141-146, October.

    Cited by:

    1. Nguyen-Van, Phu, 2010. "Energy consumption and income: A semiparametric panel data analysis," Energy Economics, Elsevier, vol. 32(3), pages 557-563, May.
    2. Phu Nguyen Van, 2008. "Energy consumption and economic development:a semiparametric panel analysis," THEMA Working Papers 2008-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.

  103. Baltagi, Badi H. & Li, Qi, 1991. "A transformation that will circumvent the problem of autocorrelation in an error-component model," Journal of Econometrics, Elsevier, vol. 48(3), pages 385-393, June.

    Cited by:

    1. Andrea Morescalchi & Sjoerd Hardeman, 2015. "Technological diversity and the impact of regional innovation: evidence for the EU," ERSA conference papers ersa15p1250, European Regional Science Association.
    2. Badi H. Baltagi & Chihwa Kao & Sanggon Na, 2011. "Test Of Hypotheses In Panel Data Models When The Regressor And Disturbances Are Possibly Nonstationary," Center for Policy Research Working Papers 128, Center for Policy Research, Maxwell School, Syracuse University.
    3. Badi Baltagi & Chihwa Kao & Long Liu, 2014. "Test of Hypotheses in a Time Trend Panel Data Model with Serially Correlated Error Component Disturbances," Center for Policy Research Working Papers 170, Center for Policy Research, Maxwell School, Syracuse University.
    4. Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
    5. Badi H. Baltagi & Chihwa Kao & Long Liu, 2020. "Testing for shifts in a time trend panel data model with serially correlated error component disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 39(8), pages 745-762, September.
    6. Oliver Morrissey & Manop Udomkerdmongkol, 2008. "Foreign Direct Investment and Exchange Rates: A Case Study of US FDI in Emerging Market Countries," Working Papers 2008-10, Monetary Policy Group, Bank of Thailand.
    7. Chihwa Kao & Jamie Emerson, 1998. "On the Estimation of a Linear Time Trend Regression with a One- Way Error Component Model in the Presence of Serially Correlated Errors," Econometrics 9805004, University Library of Munich, Germany.
    8. Emanuele Ciani & Marcello Morciano, 2011. "Estimation and Simulation of Earnings in IT-SILC," Department of Economics 0660, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    9. Galbraith, John W. & Zinde-Walsh, Victoria, 1995. "Transforming the error-components model for estimation with general ARMA disturbances," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 349-355.
    10. Jalan, Jyotsna & Ravallion, Martin, 1998. "Behavioral responses to risk in rural China," Policy Research Working Paper Series 1978, The World Bank.
    11. Badi H. Baltagi & Long Liu, 2012. "Estimation and Prediction in the Random Effects Model with AR(p) Remainder Disturbances," Center for Policy Research Working Papers 138, Center for Policy Research, Maxwell School, Syracuse University.
    12. Kramer, Walter & Baltagi, Badi, 1996. "A general condition for an optimal limiting efficiency of OLS in the general linear regression model," Economics Letters, Elsevier, vol. 50(1), pages 13-17, January.
    13. Manop Udomkerdmongkol & Oliver Morrissey & Holger Görg, 2008. "Exchange Rates and Outward Foreign Direct Investment: US FDI in Emerging Economies," WIDER Working Paper Series RP2008-102, World Institute for Development Economic Research (UNU-WIDER).
    14. Adriano Giacomini Morais & Siegfried Bender, 2006. "Trade Creation And Trade Diversion In Mercosur And Nafta," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 122, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    15. Frees, Edward W. & Miller, Thomas W., 2004. "Sales forecasting using longitudinal data models," International Journal of Forecasting, Elsevier, vol. 20(1), pages 99-114.
    16. Haschka, Rouven E. & Herwartz, Helmut & Struthmann, Philipp & Tran, Viet Tuan & Walle, Yabibal M., 2022. "The joint effects of financial development and the business environment on firm growth: Evidence from Vietnam," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 486-506.
    17. James Harrigan & Egon Zakrajšek, 2000. "Factor supplies and specialization in the world economy," Staff Reports 107, Federal Reserve Bank of New York.
    18. Kei-ichiro Inaba & Masazumi Hattori, 2007. "A Contemporary Aspect of Japanese Commercial Banking: Expansion of Fee-Based Business and Its Impact on Management Stability," Bank of Japan Working Paper Series 07-E-9, Bank of Japan.
    19. Marcel die Dama & Boniface ngah Epo & Galex syrie Soh, 2013. "Developing a two way error component estimation model with disturbances following a special autoregressive (4) for quarterly data," Economics Bulletin, AccessEcon, vol. 33(1), pages 625-634.
    20. Robert F. Engle & Jose Gonzalo Rangel, 2005. "The Spline GARCH Model for Unconditional Volatility and its Global Macroeconomic Causes," Working Papers 2005/13, Czech National Bank.
    21. Manop Udomkerdmongkol & Sra Chuenchoksan & Nutthikarn Vorasa-ngasil, 2010. "Investment in Thailand: How to unleash the new investment cycle?," Working Papers 2010-05, Monetary Policy Group, Bank of Thailand.
    22. Binken, J.L.G. & Stremersch, S., 2008. "The Effect of Superstar Software on Hardware Sales in System Markets," ERIM Report Series Research in Management ERS-2008-025-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    23. Jaya Krishnakumar, 2002. "A SUR-EC-AR System Gravity Model of Trade," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B4-4, International Conferences on Panel Data.
    24. Joseph Shaanan, 2005. "Investment, irreversibility, and options: An empirical framework," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 241-254.
    25. Badi H. Baltagi & Long Liu, 2012. "The Hausman-Taylor Panel Data Model with Serial Correlation," Center for Policy Research Working Papers 136, Center for Policy Research, Maxwell School, Syracuse University.
    26. Badi H. Baltagi & Chihwa Kao & Long Liu, 2007. "Asymptotic Properties of Estimators for the Linear Panel Regression Model with Individual Effects and Serially Correlated Errors: The Case of Stationary and Non-Stationary Regressors and Residuals," Center for Policy Research Working Papers 93, Center for Policy Research, Maxwell School, Syracuse University.
    27. Yuichi Goto & Koichi Arakaki & Yan Liu & Masanobu Taniguchi, 2023. "Homogeneity tests for one-way models with dependent errors under correlated groups," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(1), pages 163-183, March.
    28. Peter Egger & Michael Pfaffermayr, 2002. "Long Run and Short Effects in Static Panel Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-2, International Conferences on Panel Data.
    29. Simbarashe Mhaka & Leward Jeke, 2018. "A comparative analysis of the determinants of South African bilateral trade flows with the European Union-Southern African Development Community economic partnership agreement and trade development an," Working Papers 1836, Department of Economics, Nelson Mandela University, revised Dec 2018.
    30. Paolo, Foschi, 2005. "Estimating regressions and seemingly unrelated regressions with error component disturbances," MPRA Paper 1424, University Library of Munich, Germany, revised 07 Sep 2006.
    31. Braunerhjelm, Pontus & Oxelheim, Lars & Thulin, Per, 2004. "The Relationship between Domestic and Outward Foreign Direct Investment: The Role of Industry-Specific Effects," Working Paper Series 625, Research Institute of Industrial Economics.
    32. Alejo, Javier & Montes-Rojas, Gabriel & Sosa-Escudero, Walter, 2018. "Testing for serial correlation in hierarchical linear models," Journal of Multivariate Analysis, Elsevier, vol. 165(C), pages 101-116.
    33. Yap, Ghialy, 2013. "The impacts of exchange rates on Australia's domestic and outbound travel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 139-150.
    34. Sheng, Pengfei & Guo, Xiaohui, 2018. "Energy consumption associated with urbanization in China: Efficient- and inefficient-use," Energy, Elsevier, vol. 165(PB), pages 118-125.
    35. Lung‐fei Lee & Jihai Yu, 2012. "Spatial Panels: Random Components Versus Fixed Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1369-1412, November.
    36. Jimmy Skoglund & Sune Karlsson, 2002. "Asymptotics for random effects models with serial correlation," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A6-1, International Conferences on Panel Data.
    37. Phillips, Robert F., 2004. "Estimation of a generalized random-effects model: some ECME algorithms and Monte Carlo evidence," Journal of Economic Dynamics and Control, Elsevier, vol. 28(9), pages 1801-1824, July.
    38. Alexander Behar, 2011. "Price Discovery and Price Risk Management Before and After Deregulation of the South African Maize Industry," Working Papers 263, Economic Research Southern Africa.
    39. Shaanan, Joseph, 2005. "Investment, irreversibility, and options: An empirical framework," Review of Financial Economics, Elsevier, vol. 14(3-4), pages 241-254.
    40. Holger Görg & Oliver Morrissey & Manop Udomkerdmongkol, 2007. "Investment and Sources of Investment Finance in Developing Countries," Discussion Papers 07/16, University of Nottingham, GEP.

  104. Baltagi, Badi H. & Li, Qi, 1991. "A joint test for serial correlation and random individual effects," Statistics & Probability Letters, Elsevier, vol. 11(3), pages 277-280, March.

    Cited by:

    1. Andree Ehlert & Dirk Oberschachtsiek & Stefan Prawda, 2013. "Cost Containment and Managed Care: Evidence from German Macro Data," Working Paper Series in Economics 284, University of Lüneburg, Institute of Economics.
    2. Walter Sosa Escudero & Anil K. Bera, 2008. "Tests for Unbalanced Error Component Models Under Local Misspecication," CEDLAS, Working Papers 0065, CEDLAS, Universidad Nacional de La Plata.
    3. Hasan Vergil & Fuat Sekmen & Haşmet Gökirmak & Sukru Apaydin, 2022. "2008 financial crisis and income distribution in Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2627-2643, August.
    4. Jake Kendall & Nirvikar Singh, 2012. "Performance of Internet Kiosks in Rural India," Review of Market Integration, India Development Foundation, vol. 4(1), pages 1-43, April.
    5. Wu, Jianhong & Zhu, Lixing, 2011. "Testing for serial correlation and random effects in a two-way error component regression model," Economic Modelling, Elsevier, vol. 28(6), pages 2377-2386.
    6. McMahon, Walter W., 1998. "Education and Growth in East Asia," Economics of Education Review, Elsevier, vol. 17(2), pages 159-172, April.
    7. Federico Zincenko & Walter Sosa-Escudero & Gabriel Montes-Rojas, 2014. "Robust tests for time-invariant individual heterogeneity versus dynamic state dependence," Empirical Economics, Springer, vol. 47(4), pages 1365-1387, December.
    8. Gilberto Fraga & Carlos Bacha, 2011. "The Non-linearity of the Relationship between Human Capital and Exports in Brazil – evidences of regional differences," ERSA conference papers ersa11p1016, European Regional Science Association.
    9. Andree Ehlert & Dirk Oberschachtsiek, 2014. "Does managed care reduce health care expenditure? Evidence from spatial panel data," International Journal of Health Economics and Management, Springer, vol. 14(3), pages 207-227, September.
    10. Anil Bera & Walter Sosa Escudero & Mann Yoon, 2000. "Test for the Error Component Model in the Presence of Local Misspecification," Department of Economics, Working Papers 022, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
    11. Walter Sosa Escudero, 2007. "Testing for Persistence in the Error Component Model:A One-Sided Approach," Working Papers 94, Universidad de San Andres, Departamento de Economia, revised Feb 2007.
    12. Tuğba NUR-TOPALOĞLU & İlhan EGE, 2020. "The Effect of Investor Attention on Equity Markets: Panel Data Analysis on Banks Traded on Borsa Istanbul," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(44).
    13. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    14. Serap Bedir Kara & Aysegul Coskun, 2020. "The Impact of Gender Inequalities in Education on Income Corporate Social Responsibility (CSR)," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 8(4), pages 148-162.
    15. Walter Sosa Escudero & Federico Zincenko, 2008. "Tests for Dynamic Effects in Linear Panel Data Models," Working Papers 95, Universidad de San Andres, Departamento de Economia, revised Feb 2008.
    16. Kevin Z. Chen & Karl D. Meilke & Calum Turvey, 1999. "Income risk and farm consumption behavior," Agricultural Economics, International Association of Agricultural Economists, vol. 20(2), pages 173-183, March.
    17. Wu, Jianhong, 2020. "A joint test for serial correlation and heteroscedasticity in fixed-T panel regression models with interactive effects," Economics Letters, Elsevier, vol. 197(C).
    18. Simbarashe Mhaka & Leward Jeke, 2018. "A comparative analysis of the determinants of South African bilateral trade flows with the European Union-Southern African Development Community economic partnership agreement and trade development an," Working Papers 1836, Department of Economics, Nelson Mandela University, revised Dec 2018.
    19. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    20. Petrakis, P. E. & Stamatakis, D., 2002. "Growth and educational levels: a comparative analysis," Economics of Education Review, Elsevier, vol. 21(5), pages 513-521, October.
    21. Ashwini Deshpande & Thomas E. Weisskopf, 2010. "Does Affirmative Action Affect Productivity In The Indian Railways?," Working papers 185, Centre for Development Economics, Delhi School of Economics.
    22. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    23. Wen‐Den Chen, 2006. "An approximate likelihood function for panel data with a mixed ARMA(p, q) remainder disturbance model," Journal of Time Series Analysis, Wiley Blackwell, vol. 27(6), pages 911-921, November.
    24. Benjamin Born & Jörg Breitung, 2016. "Testing for Serial Correlation in Fixed-Effects Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(7), pages 1290-1316, August.

  105. Tian, Guoqiang & Li, Qi, 1991. "Completely feasible and continuous implementation of the Lindahl correspondence with any number of goods," Mathematical Social Sciences, Elsevier, vol. 21(1), pages 67-79, February.

    Cited by:

    1. Bezalel Peleg, 1996. "Double implementation of the Lindahl equilibrium by a continuous mechanism," Review of Economic Design, Springer;Society for Economic Design, vol. 2(1), pages 311-324, December.
    2. Jackson, Matthew O., 1999. "A Crash Course in Implementation Theory," Working Papers 1076, California Institute of Technology, Division of the Humanities and Social Sciences.
    3. Tian, Guoqiang & Li, Qi, 1995. "Ratio-Lindahl equilibria and an informationally efficient and implementable mixed-ownership system," Journal of Economic Behavior & Organization, Elsevier, vol. 26(3), pages 391-411, May.
    4. Tian, Guoqiang, 1991. "Implementation of the Walrasian Correspondence without Continuous, Convex, and Ordered Preferences," MPRA Paper 41298, University Library of Munich, Germany.
    5. Tian, Guoqiang, 1993. "Implementing Lindahl allocations by a withholding mechanism," Journal of Mathematical Economics, Elsevier, vol. 22(2), pages 169-179.
    6. Sertel, Murat R. & Sanver, M. Remzi, 1999. "Equilibrium outcomes of Lindahl-endowment pretension games1," European Journal of Political Economy, Elsevier, vol. 15(2), pages 149-162, June.

Chapters

  1. Qi Li & Jeffrey Scott Racine, 2006. "Density Estimation, from Nonparametric Econometrics: Theory and Practice," Introductory Chapters, in: Nonparametric Econometrics: Theory and Practice, Princeton University Press.

    Cited by:

    1. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William L Weber, 2017. "Would weighted-student funding enhance intra-district equity in Texas? A simulation using DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 377-389, April.
    2. Filipe Campante & Quoc-Anh Do & Bernardo Guimaraes, 2014. "Capital Cities, Conflict, and Misgovernance: Theory and Evidence," Sciences Po publications 2014-13, Sciences Po.
    3. Marcia M Schafgans & Victoria Zinde-Walshyz, 2008. "Smoothness Adaptive AverageDerivative Estimation," STICERD - Econometrics Paper Series 529, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    5. Timo Dimitriadis & Andrew J. Patton & Patrick W. Schmidt, 2019. "Testing Forecast Rationality for Measures of Central Tendency," Papers 1910.12545, arXiv.org, revised Jun 2023.
    6. Quoc-Anh Do & Kieu-Trang Nguyen & Anh Tran, 2017. "One Mandarin Benefits the Whole Clan: Hometown Favoritism in an Authoritarian Regime," Post-Print hal-03391952, HAL.
    7. Christian Brownlees & Gu{dh}mundur Stef'an Gu{dh}mundsson, 2021. "Performance of Empirical Risk Minimization for Linear Regression with Dependent Data," Papers 2104.12127, arXiv.org, revised May 2023.
    8. Filipe Campante & Quoc-Anh Do & Bernardo Guimaraes, 2019. "Capital Cities, Conflict, and Misgovernance," SciencePo Working papers Main hal-03391885, HAL.
    9. Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 219-232, July.
    10. Hernandez, Manuel A. & Torero, Maximo, 2018. "A poverty-sensitive scorecard to prioritize lending and grant allocation: Evidence from Central America," Food Policy, Elsevier, vol. 77(C), pages 81-90.
    11. Kang, Sang Hoon & Uddin, Gazi Salah & Ahmed, Ali & Yoon, Seong-Min, 2018. "Multi-scale causality and extreme tail inter-dependence among housing prices," Economic Modelling, Elsevier, vol. 70(C), pages 301-309.
    12. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    13. Márcio Laurini, 2012. "Dynamic Functional Data Analysis with Nonparametric State Space Models," IBMEC RJ Economics Discussion Papers 2012-01, Economics Research Group, IBMEC Business School - Rio de Janeiro.
    14. Chaohua Dong & Jiti Gao & Oliver Linton & Bin Peng, 2020. "On the Time Trend of COVID-19: A Panel Data Study," Papers 2006.11060, arXiv.org, revised Jun 2020.
    15. Christian Hansen & Damian Kozbur & Sanjog Misra, 2016. "Targeted undersmoothing," ECON - Working Papers 282, Department of Economics - University of Zurich, revised Apr 2018.
    16. Cornelius Christian & Lukas Hensel & Christopher Roth, 2019. "Income Shocks and Suicides: Causal Evidence From Indonesia," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 905-920, December.
    17. Egger, Peter & ,, 2019. "Heterogeneous Effects of Tariff and Non-tariff Trade-Policy Barriers in Quantitative General Equilibrium," CEPR Discussion Papers 13602, C.E.P.R. Discussion Papers.
    18. Karim M Abadir & Michel Lubrano, 2023. "Explicit solutions for the asymptotically-optimal bandwidth in cross validation," AMSE Working Papers 2336, Aix-Marseille School of Economics, France.
    19. Filipe Campante & Quoc-Anh Do & Bernardo Guimaraes, 2013. "Isolated Capital Cities and Misgovernance: Theory and Evidence," SciencePo Working papers Main hal-03473904, HAL.
    20. Setareh Ranjbar & Stefan Sperlich, 2020. "A Note on Empirical Studies of Life-Satisfaction: Unhappy with Semiparametrics?," Journal of Happiness Studies, Springer, vol. 21(6), pages 2193-2212, August.
    21. Matthias Krapf & Heinrich Ursprung & Christian Zimmermann, 2014. "Parenthood and Productivity of Highly Skilled Labor: Evidence from the Groves of Academe," CESifo Working Paper Series 4641, CESifo.
    22. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    23. Hugo Bodory & Martin Huber & Michael Lechner, 2022. "The finite sample performance of instrumental variable-based estimators of the Local Average Treatment Effect when controlling for covariates," Papers 2212.07379, arXiv.org.
    24. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    25. Xu, Bing & Lin, Weiran & Taqi, Syed Ali, 2020. "The impact of wind and non-wind factors on PM2.5 levels," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    26. Manuel Hernandez & Maximo Torero, 2014. "Parametric versus nonparametric methods in risk scoring: an application to microcredit," Empirical Economics, Springer, vol. 46(3), pages 1057-1079, May.
    27. Boccanfuso, Dorothée & Richard, Patrick & Savard, Luc, 2013. "Parametric and nonparametric income distribution estimators in CGE micro-simulation modeling," Economic Modelling, Elsevier, vol. 35(C), pages 892-899.
    28. Fe, Eduardo & Hollingsworth, Bruce, 2015. "Short and long run estimates of the local effects of retirement on health," MPRA Paper 65462, University Library of Munich, Germany.
    29. Richard Blundell & Dennis Kristensen & Rosa Matzkin, 2017. "Individual counterfactuals with multidimensional unobserved heterogeneity," CeMMAP working papers 60/17, Institute for Fiscal Studies.
    30. Freyberger, Joachim & Horowitz, Joel L., 2015. "Identification and shape restrictions in nonparametric instrumental variables estimation," Journal of Econometrics, Elsevier, vol. 189(1), pages 41-53.
    31. Darolles, Serge & Florens, Jean-Pierre & Simon, Guillaume, 2010. "Nonparametric Analysis of Hedge Funds Lifetimes," IDEI Working Papers 620, Institut d'Économie Industrielle (IDEI), Toulouse.
    32. Elia Lapenta & Pascal Lavergne, 2022. "Encompassing Tests for Nonparametric Regressions," Papers 2203.06685, arXiv.org, revised Oct 2023.
    33. Aline Bütikofer, 2012. "Semiparametric Base-Independent Equivalence Scales and the Cost of Children in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(I), pages 1-35, March.
    34. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
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    40. W. D. Walls, 2009. "Robust Analysis of Movie Earnings," Journal of Media Economics, Taylor & Francis Journals, vol. 22(1), pages 20-35.
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Books

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    Cited by:

    1. Shawna Grosskopf & Kathy Hayes & Lori Taylor & William L Weber, 2017. "Would weighted-student funding enhance intra-district equity in Texas? A simulation using DEA," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 377-389, April.
    2. Filipe Campante & Quoc-Anh Do & Bernardo Guimaraes, 2014. "Capital Cities, Conflict, and Misgovernance: Theory and Evidence," Sciences Po publications 2014-13, Sciences Po.
    3. Linton, Oliver & Srisuma, Sorawoot, 2010. "Semiparametric estimation of Markov decision processeswith continuous state space," LSE Research Online Documents on Economics 58187, London School of Economics and Political Science, LSE Library.
    4. Asaftei, Gabriel & Parmeter, Christopher F., 2010. "Market power, EU integration and privatization: The case of Romania," Journal of Comparative Economics, Elsevier, vol. 38(3), pages 340-356, September.
    5. Andreou, Elena & Kasparis, Ioannis & Phillips, Peter C. B., 2013. "Nonparametric Predictive Regression," CEPR Discussion Papers 9570, C.E.P.R. Discussion Papers.
    6. Diego Restrepo-Tobón & Subal Kumbhakar & Kai Sun, 2015. "Obelix vs. Asterix: Size of US commercial banks and its regulatory challenge," Journal of Regulatory Economics, Springer, vol. 48(2), pages 125-168, October.
    7. Baghana, Rufin, 2010. "Public R&D Subsidies and Productivity: Evidence from Firm-Level Data in Quebec," MERIT Working Papers 2010-055, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Alois Kneip & Monika Merz & Lidia Storjohann, 2020. "Aggregation and Labor Supply Elasticities [Do Reservation Wages Really Decline? Some International Evidence on the Determinants of Reservation Wages]," Journal of the European Economic Association, European Economic Association, vol. 18(5), pages 2315-2358.
    9. Roberto Martino & Phu Nguyen-Van, 2016. "Environmental Kuznets curve and environmental convergence: A unified empirical framework for CO2 emissions," Working Papers of BETA 2016-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    10. Feng, Andy & Graetz, Georg, 2013. "A question of degree: the effects of degree class on labor market outcomes," LSE Research Online Documents on Economics 51562, London School of Economics and Political Science, LSE Library.
    11. Wedimu, Mengistu A. & Henningsen, Arne & Czekaj, Tomasz G., 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211900, International Association of Agricultural Economists.
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    15. Kiefer, Nicholas M. & Racine, Jeffrey S., 2008. "The Smooth Colonel Meets the Reverend," Working Papers 08-01, Cornell University, Center for Analytic Economics.
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    18. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    19. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    20. Philipp Ratz, 2022. "Nonparametric Value-at-Risk via Sieve Estimation," Papers 2205.07101, arXiv.org.
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    22. Timo Dimitriadis & Andrew J. Patton & Patrick W. Schmidt, 2019. "Testing Forecast Rationality for Measures of Central Tendency," Papers 1910.12545, arXiv.org, revised Jun 2023.
    23. Tingting Cheng & Jiti Gao & Xibin Zhang, 2016. "Nonparametric Localized Bandwidth Selection for Kernel Density Estimation," Monash Econometrics and Business Statistics Working Papers 7/16, Monash University, Department of Econometrics and Business Statistics.
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    35. BOUEZMARNI, Taoufik & ROMBOUTS, Jeroen V. K., 2006. "Nonparametric density estimation for positive time series," LIDAM Discussion Papers CORE 2006085, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    36. Christian Brownlees & Gu{dh}mundur Stef'an Gu{dh}mundsson, 2021. "Performance of Empirical Risk Minimization for Linear Regression with Dependent Data," Papers 2104.12127, arXiv.org, revised May 2023.
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    38. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.
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    42. Filipe Campante & Quoc-Anh Do & Bernardo Guimaraes, 2019. "Capital Cities, Conflict, and Misgovernance," SciencePo Working papers Main hal-03391885, HAL.
    43. Sharma, Abhijit & Bailey, Alastair & Fraser, Iain, 2009. "Technology Adoption And Pest Control Strategies Among UK Cereal Farmers: Evidence from Parametric and Nonparametric Count Data Models," MPRA Paper 15805, University Library of Munich, Germany.
    44. Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 219-232, July.
    45. Eduardo Fé, 2012. "Instrumental variable estimation of heteroskedasticity adaptive error component models," Statistical Papers, Springer, vol. 53(3), pages 577-615, August.
    46. Phillips, Peter C.B. & Li, Degui & Gao, Jiti, 2017. "Estimating smooth structural change in cointegration models," Journal of Econometrics, Elsevier, vol. 196(1), pages 180-195.
    47. Tierney, Heather L.R., 2009. "Examining the Ability of Core Inflation to Capture the Overall Trend of Total Inflation," MPRA Paper 22409, University Library of Munich, Germany, revised Feb 2010.
    48. Kenneth L. Sørensen & Rune Vejlin, 2012. "Return to Experience and Initial Wage Level: Do Low Wage Workers Catch Up?," Economics Working Papers 2012-02, Department of Economics and Business Economics, Aarhus University.
    49. Pérez García Francisco & Tortosa-Ausina Emili & Arribas Fernández Iván, 2009. "The Determinants of International Financial Integration Revisited: The Role of Networks and Geographic Neutrality," Working Papers 201049, Fundacion BBVA / BBVA Foundation.
    50. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2016. "Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors," Econometrics, MDPI, vol. 4(2), pages 1-27, April.
    51. Bjørndal, Endre & Bjørndal, Mette & Cullmann, Astrid & Nieswand, Maria, 2016. "Finding the Right Yardstick: Regulation under Heterogeneous Environments," Discussion Papers 2016/4, Norwegian School of Economics, Department of Business and Management Science.
    52. Nadine McCloud & Christopher F. Parmeter, 2017. "Calculating Degrees of Freedom in Multivariate Local Polynomial Regression," Working Papers 2017-14, University of Miami, Department of Economics.
    53. Liguo Zhang & Xuerong Li, 2016. "The Impact of Traditional Culture on Farmers’ Moral Hazard Behavior in Crop Production: Evidence from China," Sustainability, MDPI, vol. 8(7), pages 1-15, July.
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    59. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2013. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression," LIDAM Discussion Papers ISBA 2013025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    60. Brennan Thompson, 2010. "Statistical inference for vector measures of inequality and poverty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(4), pages 451-462, December.
    61. Jürgen Bierbaumer-Polly, 2012. "Regionale Konjunkturzyklen in Österreich," WIFO Monatsberichte (monthly reports), WIFO, vol. 85(11), pages 833-848, November.
    62. Feng Yao & Junsen Zhang, 2015. "Efficient kernel-based semiparametric IV estimation with an application to resolving a puzzle on the estimates of the return to schooling," Empirical Economics, Springer, vol. 48(1), pages 253-281, February.
    63. Čížek, Pavel & Lei, Jinghua, 2018. "Identification and estimation of nonseparable single-index models in panel data with correlated random effects," Journal of Econometrics, Elsevier, vol. 203(1), pages 113-128.
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    66. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
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    68. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
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    72. Márcio Laurini, 2012. "Dynamic Functional Data Analysis with Nonparametric State Space Models," IBMEC RJ Economics Discussion Papers 2012-01, Economics Research Group, IBMEC Business School - Rio de Janeiro.
    73. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
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