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Dong Li

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.

Working papers

  1. Badi H. Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: The Case of Liquor," Center for Policy Research Working Papers 84, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    2. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    3. Jean-Sauveur Ay & Raja Chakir & Julie Le Gallo, 2014. "The effects of scale, space and time on the predictive accuracy of land use models," Working Papers 2014/02, INRA, Economie Publique.
    4. Bell, Kathleen P. & Dalton, Timothy J., 2006. "Spatial Economic Analysis in Data-Rich Environments," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25241, International Association of Agricultural Economists.
    5. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2009. "Forecasting with Spatial Panel Data," IZA Discussion Papers 4242, Institute of Labor Economics (IZA).
    6. Michael Beenstock & Daniel Felsenstein, 2010. "Spatial error correction and cointegration in nonstationary panel data: regional house prices in Israel," Journal of Geographical Systems, Springer, vol. 12(2), pages 189-206, June.
    7. Riccardo Corradini, 2006. "Advanced estimates of regional accounts: an alternative approach by spatial panels," Computing in Economics and Finance 2006 287, Society for Computational Economics.
    8. Hujer Reinhard & Rodrigues Paulo J. M. & Wolf Katja, 2008. "Dynamic Panel Data Models with Spatial Correlation," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(5-6), pages 612-629, October.
    9. Ouardighi, Jalal El, 2002. "Dépendance spatiale sur données de panel : application à la relation Brevets-R&D au niveau régional," L'Actualité Economique, Société Canadienne de Science Economique, vol. 78(1), pages 67-86, Mars.
    10. Ana Angulo & Jesús Mur & Javier Trivez, 2014. "Measure of the resilience to Spanish economic crisis: the role of specialization," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 263-275.
    11. Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo Group Munich.
    12. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Spatial Economics Research Centre, LSE.
    13. 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.
    14. Konstantin A. Kholodilin & Boriss Siliverstovs & Stefan Kooths, 2007. "A Dynamic Panel Data Approach to the Forecasting of the GDP of German Länder," Discussion Papers of DIW Berlin 664, DIW Berlin, German Institute for Economic Research.
    15. 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.
    16. Christian Dreger & Konstantin Kholodilin & Michael Artis, 2011. "What drives regional business cycles? The role of common and spatial components," ERSA conference papers ersa10p317, European Regional Science Association.
    17. J. Wesley Burnett & Xueting Zhao, 2014. "Forecasting U.S. State-Level Carbon Dioxide Emissions," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 223-240, Winter.
    18. A. M. Angulo & J. Mur & F. J. Trívez, 2018. "Measuring resilience to economic shocks: an application to Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 349-373, March.
    19. Girardin, Eric & Kholodilin, Konstantin A., 2010. "How helpful are spatial effects in forecasting the growth of Chinese provinces?," BOFIT Discussion Papers 15/2010, Bank of Finland, Institute for Economies in Transition.
    20. Cattaneo, Cristina & Manera, Matteo & Scarpa, Elisa, 2008. "Industrial Coal Demand in China: A Provincial Analysis," International Energy Markets Working Papers 44425, Fondazione Eni Enrico Mattei (FEEM).
    21. Semerikova, Elena & Demidova, Olga, 2016. "Using spatial econometric models for regional unemployment forecasting," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 43, pages 29-51.
    22. Bernard Fingleton, 2009. "Prediction Using Panel Data Regression with Spatial Random Effects," International Regional Science Review, , vol. 32(2), pages 195-220, April.
    23. Michael Artis & Christian Dreger & Konstantin Kholodilin, 2009. "Common and Spatial Drivers in Regional Business Cycles," SERC Discussion Papers 0022, Spatial Economics Research Centre, LSE.
    24. Mark V. JANIKAS & Sergio J. REY, 2008. "On The Relationships Between Spatial Clustering, Inequality, And Economic Growth In The United States : 1969-2000," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 13-34.
    25. Fingleton, Bernard, 2010. "Predicting the Geography of House Prices," MPRA Paper 21113, University Library of Munich, Germany.
    26. Vassilis Monastiriotis, 2014. "Regional Growth and National Development: Transition in Central and Eastern Europe and the Regional Kuznets Curve in the East and the West," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(2), pages 142-161, June.
    27. Fernando A. López Hernández & Coro Chasco Yrigoyen, 2004. "Space-Time Lags: Specification Strategy In Spatial Regression Models," Econometrics 0411005, University Library of Munich, Germany.
    28. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    29. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    30. Bernard Fingleton, 2008. "A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 27-44.
    31. Luis Eduardo Sandoval, 2018. "Socio-economics characteristics and spatial persistence of homicides in Colombia, 2000-2010," Estudios de Economia, University of Chile, Department of Economics, vol. 45(1 Year 20), pages 51-77, June.
    32. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, Elsevier.
    33. Luisa Corrado & Bernard Fingleton, 2011. "Multilevel Modelling with Spatial Effects," Working Papers 1105, University of Strathclyde Business School, Department of Economics.
    34. Ana Angulo & Jesús Mur & Javier Trívez, 2013. "Forecasting heterogeneous regional data: the case of European employment," ERSA conference papers ersa13p953, European Regional Science Association.
    35. Giuseppe Arbia & Gianfranco Piras, 2004. "Convergence in per-capita GDP across European regions using panel data models extended to spatial autocorrelation effects," ERSA conference papers ersa04p524, European Regional Science Association.
    36. Fingleton, Bernard & Palombi, Silvia, 2013. "Spatial panel data estimation, counterfactual predictions, and local economic resilience among British towns in the Victorian era," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 649-660.
    37. Konstantin A. Kholodilin & Andreas Mense, 2012. "Forecasting the Prices and Rents for Flats in Large German Cities," Discussion Papers of DIW Berlin 1207, DIW Berlin, German Institute for Economic Research.
    38. Ana Angulo & F. Trívez, 2010. "The impact of spatial elements on the forecasting of Spanish labour series," Journal of Geographical Systems, Springer, vol. 12(2), pages 155-174, June.
    39. B. Fingleton & S. Brakman & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & M. Roberts, 2007. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 2(2), pages 111-115.
    40. Badi H. Baltagi & Long Liu, 2016. "Random Effects, Fixed Effects and Hausman's Test for the Generalized Mixed Regressive Spatial Autoregressive Panel Data Model," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 638-658, April.
    41. Weslem Faria & Alexandre Almeida, 2011. "Agricultural Expansion, Openness to Trade and Deforestation at the Brazilian Amazon: A Spatial Econometric Analysis," ERSA conference papers ersa11p1013, European Regional Science Association.
    42. B. Fingleton & P. Cheshire & H. Garretsen & D. Igliori & J. Le Gallo & P. McCann & J. McCombie & V. Monastiriotis & B. Moore & M. Roberts, 2008. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(3), pages 269-273.
    43. Harry H. Kelejian & Ingmar R. Prucha, 2008. "Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 2448, CESifo Group Munich.
    44. Mahmut ERDOGAN & Jülide YILDIRIM & Nadir ÖCAL, "undated". "Financial Development and Economic Growth in Turkey: a Spatial Effect Analysis," EcoMod2008 23800034, EcoMod.
    45. Badi H. Baltagi & Long Liu, 2014. "Random Effects, Fixed Effects and Hausman’s Test for the Generalized Mixed Regressive Spatial Autoregressive Panel," Center for Policy Research Working Papers 174, Center for Policy Research, Maxwell School, Syracuse University.
    46. Seuck Song & Byoung Jung, 2002. "BLUP in the panel regression model with spatially and serially correlated error components," Statistical Papers, Springer, vol. 43(4), pages 551-566, October.
    47. Baltagi, Badi H. & Pirotte, Alain, 2014. "Prediction in a spatial nested error components panel data model," International Journal of Forecasting, Elsevier, vol. 30(3), pages 407-414.
    48. Théophile AZOMAHOU, 2001. "Efficient Estimation of Spatial Autoregressive Models," Working Papers of BETA 2001-05, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    49. Raja Chakir & Stéphane De Cara & Bruno Vermont, 2017. "Price-Induced Changes in Greenhouse Gas Emissions from Agriculture, Forestry, and Other Land Use: A Spatial Panel Econometric Analysis," Revue économique, Presses de Sciences-Po, vol. 68(3), pages 471-490.
    50. Xueting Zhao & J. Burnett, 2014. "Forecasting province-level $${\text {CO}}_{2}$$ CO 2 emissions in China," Letters in Spatial and Resource Sciences, Springer, vol. 7(3), pages 171-183, October.
    51. Lu, Lina, 2017. "Simultaneous Spatial Panel Data Models with Common Shocks," Supervisory Research and Analysis Working Papers RPA 17-3, Federal Reserve Bank of Boston.
    52. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.

  2. Badi Baltagi & Dong Li, 2000. "LM Tests for Functional Form and Spatial Correlation," Econometric Society World Congress 2000 Contributed Papers 0099, Econometric Society.

    Cited by:

    1. Harald Badinger & Peter Egger, 2009. "Estimation of Higher-Order Spatial Autoregressive Panel Data Error Component Models," CESifo Working Paper Series 2556, CESifo Group Munich.
    2. Peter C. Boxall, Wing H. Chan, and Melville L. McMillan, 2005. "The Impact of Oil and Natural Gas Facilities on Rural Residential Property," Working Papers eg0039, Wilfrid Laurier University, Department of Economics, revised 2005.
    3. Peter Robinson, 2007. "Correlation testing in time series, spatial and cross-sectional data," CeMMAP working papers CWP01/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Harald Badinger & Peter Egger, 2008. "GM Estimation of Higher-Order Spatial Autoregressive Processes in Cross-Section Models with Heteroskedastic Disturbances," CESifo Working Paper Series 2356, CESifo Group Munich.
    5. Liu, Xiaodong & Prucha, Ingmar R., 2018. "A robust test for network generated dependence," Journal of Econometrics, Elsevier, vol. 207(1), pages 92-113.
    6. Harry H. Kelejian & Ingmar R. Prucha, 2008. "Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 2448, CESifo Group Munich.

  3. Badi H. Baltagi & Dong Li, "undated". "Series Estimation of Partially Linear Panel Data Models with Fixed Effects," Working Papers 0109, East Carolina University, Department of Economics.

    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. Zhu, Hui-Ming & You, Wan-Hai & Zeng, Zhao-fa, 2012. "Urbanization and CO2 emissions: A semi-parametric panel data analysis," Economics Letters, Elsevier, vol. 117(3), pages 848-850.
    3. You, Jinhong & Zhou, Haibo, 2008. "A two-stage approach to semilinear in-slide models," Journal of Multivariate Analysis, Elsevier, vol. 99(8), pages 1610-1634, September.
    4. Calin Arcalean & Ioana Cosmina Schiopu, 2014. "Inequality, Opting-out and Public Education Funding," CESifo Working Paper Series 5115, CESifo Group Munich.
    5. Michael L. Polemis, 2018. "Revisiting the Environmental Kuznets Curve: a semi-parametric analysis on the role of market structure on environmental pollution," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 27-35, March.
    6. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model," Economics Letters, Elsevier, vol. 125(1), pages 93-96.
    7. Helge Liebert & Beatrice Mäder, 2018. "Physician Density and Infant Mortality: A Semiparametric Analysis of the Returns to Health Care Provision," CESifo Working Paper Series 7209, CESifo Group Munich.
    8. 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).
    9. Zouaoui, Haykel & Mazioud, Manel & Ellouz, Nidhal Ziedi, 2018. "A semi-parametric panel data analysis on financial development-economic volatility nexus in developing countries," Economics Letters, Elsevier, vol. 172(C), pages 50-55.
    10. Tranchant Jean-Pierre, 2016. "Is Regional Autonomy a Solution to Ethnic Conflict? Some Lessons from a Dynamic Analysis," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 22(4), pages 449-460, December.
    11. Maria Rosaria Alfano & Anna Laura Baraldi & Erasmo Papagni, 2015. "The Effect of the Proportionality Degree of Electoral Systems on Corruption," EERI Research Paper Series EERI RP 2015/03, Economics and Econometrics Research Institute (EERI), Brussels.
    12. Sergei Guriev & Elena Vakulenko, 2015. "Breaking Out of Poverty Traps: Internal Migration and Interregional Convergence in Russia," Sciences Po publications info:hdl:2441/29rpk7q0oq9, Sciences Po.
    13. Desbordes, Rodolphe & Verardi, Vincenzo, 2012. "Refitting the Kuznets curve," Economics Letters, Elsevier, vol. 116(2), pages 258-261.
    14. 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.
    15. Wang, Yuan & Zhang, Xiang & Kubota, Jumpei & Zhu, Xiaodong & Lu, Genfa, 2015. "A semi-parametric panel data analysis on the urbanization-carbon emissions nexus for OECD countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 704-709.
    16. Shahbaz, Muhammad & Nasreen, Samia & Ling, Chong Hui & Sbia, Rashid, 2013. "Causality between Trade Openness and Energy Consumption: What Causes What in High, Middle and Low Income countries," MPRA Paper 50382, University Library of Munich, Germany, revised 04 Oct 2013.
    17. Francois Libois & Vincenzo Verardi, 2013. "Semiparametric fixed-effects estimator," Stata Journal, StataCorp LP, vol. 13(2), pages 329-336, June.
    18. 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.
    19. 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.
    20. Halkos, George & Polemis, Michael, 2016. "The good, the bad and the ugly? Balancing environmental and economic impacts towards efficiency," MPRA Paper 72132, University Library of Munich, Germany.
    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. Alena Bičáková & Štěpán Jurajda, 2014. "The Quiet Revolution and the Family: Gender Composition of Tertiary Education and Early Fertility Patterns," Discussion Papers 22, Central European Labour Studies Institute (CELSI).
    23. Jean-Marie Baland & François Libois & Dilip Mookherjee, 2018. "Forest Degradation and Economic Growth in Nepal, 2003–2010," Post-Print halshs-01713390, HAL.
    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. 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.
    26. 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.
    27. Ekpeno L. Effiong, 2018. "On the urbanization-pollution nexus in Africa: a semiparametric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 445-456, January.
    28. Liebert, H. & Mäder, B., 2016. "Marginal effects of physician coverage on infant and disease mortality," Health, Econometrics and Data Group (HEDG) Working Papers 16/17, HEDG, c/o Department of Economics, University of York.
    29. 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.
    30. Peter Pütz & Thomas Kneib, 2018. "A penalized spline estimator for fixed effects panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 145-166, April.
    31. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    32. Darshana Rajapaksa & Moinul Islam & Shunsuke Managi, 2017. "Natural Capital Depletion: the Impact of Natural Disasters on Inclusive Growth," Economics of Disasters and Climate Change, Springer, vol. 1(3), pages 233-244, October.
    33. Liebert, Helge & Mäder, Beatrice, 2017. "The impact of regional health care coverage on infant mortality and disease incidence," Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168103, Verein für Socialpolitik / German Economic Association.
    34. Bofinger, Peter & Scheuermeyer, Philipp, 2016. "Income Distribution and Aggregate Saving: A Non-Monotonic Relationship," CEPR Discussion Papers 11435, C.E.P.R. Discussion Papers.
    35. Stanislao Maldonado, 2018. "The Non-Monotonic Political Effects of Resource Booms," Working Papers 121, Peruvian Economic Association.
    36. 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.
    37. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    38. Costantini, Mauro & Paradiso, Antonio, 2018. "What do panel data say on inequality and GDP? New evidence at US state-level," Economics Letters, Elsevier, vol. 168(C), pages 115-117.
    39. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    40. Sugata Marjit & Sattwik Santra & Koushik Kumar Hati, 2018. "Status Seeking Behavior of the Poor: A Study on India," CESifo Working Paper Series 7213, CESifo Group Munich.
    41. Goldberg, Andrew & Romalis, John, 2015. "Public Debt and Growth in U.S. States," Working Papers 2015-10, University of Sydney, School of Economics.
    42. 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.
    43. Kusum Mundra, 2005. "Nonparametric Slope Estimators for Fixed-Effect Panel Data," Econometrics 0502008, University Library of Munich, Germany.
    44. 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.
    45. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.
    46. Calin Arcalean & Ioana Schiopu, 2016. "Inequality, opting-out and public education funding," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 46(4), pages 811-837, April.
    47. Fell, Harrison & Maniloff, Peter, 2018. "Leakage in regional environmental policy: The case of the regional greenhouse gas initiative," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 1-23.
    48. Lv, Zhike & Yang, Rudai, 2018. "Does women’s participation in politics increase female labor participation? Evidence from panel data analysis," Economics Letters, Elsevier, vol. 170(C), pages 35-38.
    49. 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.
    50. 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.
    51. Lessmann, Christian, 2014. "Spatial inequality and development — Is there an inverted-U relationship?," Journal of Development Economics, Elsevier, vol. 106(C), pages 35-51.
    52. Ai, Chunrong & You, Jinhong & Zhou, Yong, 2011. "Statistical inference using a weighted difference-based series approach for partially linear regression models," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 601-618, March.
    53. Nikos Benos & Stelios Karagiannis, 2018. "Inequality And Growth In The United States: Why Physical And Human Capital Matter," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 572-619, January.
    54. Moheddine Younsi & Mohamed Chakroun & Amine Nafla, 2016. "Robust analysis of the determinants of healthcare expenditure growth: evidence from panel data for low-, middle- and high-income countries," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(4), pages 580-601, October.
    55. Scheuermeyer, Philipp & Bofinger, Peter, 2016. "Income Distribution and Household Saving: A Non-Monotonic Relationship," Annual Conference 2016 (Augsburg): Demographic Change 145901, Verein für Socialpolitik / German Economic Association.
    56. Liebert, Helge & Mäder, Beatrice, 2016. "The impact of regional health care coverage on infant mortality and disease incidence," Economics Working Paper Series 1620, University of St. Gallen, School of Economics and Political Science.
    57. Atif Awad & Mohammed Hersi Warsame, 2017. "Climate Changes in Africa: Does Economic Growth Matter? A Semi-parametric Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 1-8.
    58. Peter Pütz & Thomas Kneib, 2016. "A Penalized Spline Estimator for Fixed Effects Panel Data Models," SOEPpapers on Multidisciplinary Panel Data Research 827, DIW Berlin, The German Socio-Economic Panel (SOEP).
    59. Abdallh, Atif Awad & Abugamos, Hoda, 2017. "A semi-parametric panel data analysis on the urbanisation-carbon emissions nexus for the MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1350-1356.
    60. Ekpeno L. Effiong & Alex O. Iriabije, 2018. "Let the data speak: semiparametric evidence on the environmental Kuznets curve in Africa," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 771-782, March.
    61. Hu, Jianhua & You, Jinhong & Zhou, Xian, 2017. "Improved estimation of fixed effects panel data partially linear models with heteroscedastic errors," Journal of Multivariate Analysis, Elsevier, vol. 154(C), pages 96-111.
    62. Christie Dike, 2018. "Effects of Foreign Direct Investment in Sub-Saharan Africa Economic Growth: Evidence from Panel Data Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 8(2), pages 255-261.
    63. Tian, Xu & Yu, Xiaohua, 2015. "Using semiparametric models to study nutrition improvement and dietary change with different indices: The case of China," Food Policy, Elsevier, vol. 53(C), pages 67-81.
    64. Haibo Zhou & Jinhong You & Bin Zhou, 2010. "Statistical inference for fixed-effects partially linear regression models with errors in variables," Statistical Papers, Springer, vol. 51(3), pages 629-650, September.
    65. Mendieta Ossio, Pablo, 2018. "A Regional Landscape of Bolivian Economic Growth," Revista Latinoamericana de Desarrollo Economico, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana, issue 31, pages 78-99, May.

Articles

  1. Dennis L. Weisman & Dong Li, 2017. "Weeds in the Ivy: college admissions under preference constraints," Applied Economics, Taylor & Francis Journals, vol. 49(3), pages 303-312, January.

    Cited by:

    1. Weisman, Dennis L., 2017. "How to integrate economic analysis into classroom discussions of diversity?," International Review of Economics Education, Elsevier, vol. 25(C), pages 8-14.

  2. Li, Dong & Weisman, Dennis L., 2011. "Why preferences in college admissions may yield a more-able student body," Economics of Education Review, Elsevier, vol. 30(4), pages 724-728, August.

    Cited by:

    1. Dennis L. Weisman & Dong Li, 2017. "Weeds in the Ivy: college admissions under preference constraints," Applied Economics, Taylor & Francis Journals, vol. 49(3), pages 303-312, January.
    2. Pastine, Ivan & Pastine, Tuvana, 2012. "Student incentives and preferential treatment in college admissions," Economics of Education Review, Elsevier, vol. 31(1), pages 123-130.
    3. Weisman, Dennis L., 2017. "How to integrate economic analysis into classroom discussions of diversity?," International Review of Economics Education, Elsevier, vol. 25(C), pages 8-14.

  3. James F Ragan & Dong Li & Horacio Matos-Díaz, 2011. "Using Admission Tests to Predict Success in College — Evidence from the University of Puerto Rico," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(4), pages 470-487.

    Cited by:

    1. By Vincenzo Carrieri & Marcello D’Amato & Roberto Zotti, 2015. "On the causal effects of selective admission policies on students’ performances: evidence from a quasi-experiment in a large Italian university," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1034-1056.
    2. Alejandro Abarca & Rolando Leiva & Juan Robalino & Milagro Saborio-Rodriguez, 2016. "Diferencias en la permanencia y el desempeño en la educación superior entre estudiantes provenientes de colegios públicas y privadas," Working Papers 201603, Universidad de Costa Rica, revised Jun 2016.
    3. CARRIERI, Vincenzo & D'AMATO, Marcello & ZOTTI, Roberto, 2013. "Selective Admission Tests and Students' Performances. Evidence from a Natural Experiment in a Large Italian University," CELPE Working Papers 0/00, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.

  4. 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. 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.
    6. 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.
    7. Li, Cong & Wang, Yanfei, 2016. "Gradient-based bandwidth selection for estimating average derivatives," Economics Letters, Elsevier, vol. 140(C), pages 19-22.
    8. Xu, Ke-Li, 2013. "Powerful tests for structural changes in volatility," Journal of Econometrics, Elsevier, vol. 173(1), pages 126-142.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

  5. Le, Canh Quang & Li, Dong, 2008. "Double-Length Regression tests for testing functional forms and spatial error dependence," Economics Letters, Elsevier, vol. 101(3), pages 253-257, December.

    Cited by:

    1. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.
    2. Badi Baltagi & Long Liu, 2014. "Testing for spatial lag and spatial error dependence using double length artificial regressions," Statistical Papers, Springer, vol. 55(2), pages 477-486, May.
    3. Badi H. Baltagi & Long Liu, 2015. "Testing for Spacial Lag and Spatial Error Dependence in a Fixed Effects Panel Data Model Using Double Length Artificial Regressions," Center for Policy Research Working Papers 183, Center for Policy Research, Maxwell School, Syracuse University.
    4. Patrick Walsh & J. Walter Milon & David Scrogin, 2010. "The Spatial Extent of Water Quality Benefits in Urban Housing Markets," NCEE Working Paper Series 201002, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Mar 2010.

  6. 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. David Jacho-Chávez, 2008. "k nearest-neighbor estimation of inverse density weighted expectations," Economics Bulletin, AccessEcon, vol. 3(48), pages 1-6.
    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.

  7. Badi Baltagi & Dong Li, 2006. "Prediction in the Panel Data Model with Spatial Correlation: the Case of Liquor," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 175-185.
    See citations under working paper version above.
  8. Gan, Li & Li, Dong & Song, Shunfeng, 2006. "Is the Zipf law spurious in explaining city-size distributions?," Economics Letters, Elsevier, vol. 92(2), pages 256-262, August.

    Cited by:

    1. Kristian Giesen & Jens Südekum, 2011. "Zipf's law for cities in the regions and the country," Journal of Economic Geography, Oxford University Press, vol. 11(4), pages 667-686, July.
    2. Michel DIMOU & Alexandra SCHAFFAR & Zhihong CHEN & Shihe FU, 2008. "La Croissance Urbaine Chinoise Reconsidérée," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 109-131.
    3. P. Nijkamp & A. Reggiani, 2012. "Did Zipf Anticipate Socio-Economic Spatial Networks?," Working Papers wp816, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Schmidheiny, Kurt & Suedekum, Jens, 2015. "The Pan-European Population Distribution Across Consistently Defined Functional Urban Areas," IZA Discussion Papers 9020, Institute of Labor Economics (IZA).
    5. Kristian GIESEN & Jens SÜDEKUM, 2012. "The French Overall City Size Distribution," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 107-126.
    6. Fungisai Nota & Shunfeng Song, 2008. "Further Analysis of the Zipf Law: Does the Rank-Size Rule Really Exist?," Working Papers 08-005, University of Nevada, Reno, Department of Economics;University of Nevada, Reno , Department of Resource Economics.
    7. Angelina Hackmann & Torben Klarl, 2018. "The Evolution of Zipf's Law for U.S. Cities," CESifo Working Paper Series 7232, CESifo Group Munich.
    8. Kurt Schmidheiny & Jens Suedekum, 2015. "The Pan-European Population Distribution Across Consistently Defined Functional Urban Areas," CESifo Working Paper Series 5335, CESifo Group Munich.
    9. Dimitrios TSIOTAS, 2016. "City-Size Or Rank-Size Distribution? An Empirical Analysis On Greek Urban Populations," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 11(4), pages 5-16, November.
    10. Sebastien TERRA, 2009. "Zipf's Law for Cities: On a New Testing Procedure," Working Papers 200920, CERDI.
    11. Boris Portnov, 2011. "Does Zipf’s law hold for primate cities? Some evidence from a discriminant analysis of world countries," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 31(2), pages 113-129, October.
    12. Rolf Bergs, 2018. "The detection of natural cities in the Netherlands—Nocturnal satellite imagery and Zipf’s law
      [Die Abgrenzung natürlicher Städte in den Niederlanden: Nachtsatellitenbilder und das Zipf-Gesetz]
      ," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 38(2), pages 111-140, October.
    13. Alex Coad, 2009. "On the distribution of product price and quality," Journal of Evolutionary Economics, Springer, vol. 19(4), pages 589-604, August.
    14. Zhihong Chen & Shihe Fu & Dayong Zhang, 2013. "Searching for the Parallel Growth of Cities," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    15. Montebruno, Piero & Bennett, Robert J. & van Lieshout, Carry & Smith, Harry, 2019. "A tale of two tails: Do Power Law and Lognormal models fit firm-size distributions in the mid-Victorian era?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 858-875.
    16. Yang Li & Hua Shao & Nan Jiang & Ge Shi & Xin Cheng, 2018. "The Evolution of the Urban Spatial Pattern in the Yangtze River Economic Belt: Based on Multi-Source Remote Sensing Data," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-21, August.

  9. Badi Baltagi & Dong Li & Qi Li, 2006. "Transaction tax and stock market behavior: evidence from an emerging market," Empirical Economics, Springer, vol. 31(2), pages 393-408, June.

    Cited by:

    1. Leonardo Becchetti & Massimo Ferrari, 2013. "The impact of the French Tobin tax," Econometica Working Papers wp47, Econometica.
    2. Thomas Hemmelgarn & Gaëtan Nicodème, 2010. "The 2008 Financial Crisis and Taxation Policy," Working Papers CEB 10-006.RS, ULB -- Universite Libre de Bruxelles.
    3. 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.
    4. 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.
    5. 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.
    6. Gaffeo, Edoardo & Molinari, Massimo, 2017. "Taxing financial transactions in fundamentally heterogeneous markets," Economic Modelling, Elsevier, vol. 64(C), pages 322-333.
    7. Lillo, Felipe & Valdés, Rodrigo, 2016. "Dynamics of financial markets and transaction costs: A graph-based study," Research in International Business and Finance, Elsevier, vol. 38(C), pages 455-465.
    8. 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.
    9. 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.
    10. Fricke, Daniel & Lux, Thomas, 2013. "The effects of a financial transaction tax in an artificial financial market," Kiel Working Papers 1868, Kiel Institute for the World Economy (IfW).
    11. Zsolt Darvas & Jakob Weizsäcker, 2011. "Financial transaction tax: Small is beautiful," Society and Economy, Akadémiai Kiadó, Hungary, vol. 33(3), pages 449-473, December.
    12. Neil McCulloch & Grazia Pacillo, 2010. "The Tobin Tax A Review of the Evidence," Working Paper Series 1611, Department of Economics, University of Sussex Business School.
    13. Huber, Jürgen & Kleinlercher, Daniel & Kirchler, Michael, 2012. "The impact of a financial transaction tax on stylized facts of price returns—Evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1248-1266.
    14. Lepone, Andrew & Wen, Jun & Yang, Jin Young, 2018. "Message traffic restrictions and relative pricing efficiency: Evidence from index futures contracts and exchange-traded funds," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 366-375.
    15. Walch, Florian & Lennkh, Rudolf Alvise, 2015. "Collateral damage? Micro-simulation of transaction cost shocks on the value of central bank collateral," Working Paper Series 1793, European Central Bank.
    16. Jürgen Antony & Michiel Bijlsma & Adam Elbourne & Marcel Lever & Gijsbert Zwart, 2012. "Financial transaction tax: review and assessment," CPB Discussion Paper 202, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Dean Baker, 2010. "Responses to Criticisms of Taxes on Financial Speculation," CEPR Reports and Issue Briefs 2010-01, Center for Economic and Policy Research (CEPR).
    18. Tobias R. Rühl & Michael Stein, 2014. "The impact of financial transaction taxes: Evidence from Italy," Economics Bulletin, AccessEcon, vol. 34(1), pages 25-33.
    19. Rudolf Alvise Lennkh & Florian Walch, 2015. "Collateral Damage? Micro-Simulation of Transaction Cost Shocks on the Value of Central Bank Collateral," Working Papers 6, European Stability Mechanism.
    20. Kirchler, Michael & Huber, Jürgen & Kleinlercher, Daniel, 2011. "Market microstructure matters when imposing a Tobin tax—Evidence from the lab," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 586-602.
    21. European Commission, 2010. "Innovative Financing at a Global Level," Taxation Studies 0031, Directorate General Taxation and Customs Union, European Commission.
    22. Sajid M. Chaudhry & Andrew W. Mullineux & Natasha Agarwal, 2015. "Balancing the Regulation and Taxation of Banking," Books, Edward Elgar Publishing, number 16668.
    23. Sebastián Cano-Berlanga & José-Manuel Giménez-Gómez, 2018. "On Chinese stock markets: How have they evolved over time?," Annals of Operations Research, Springer, vol. 266(1), pages 499-510, July.
    24. 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.
    25. Luigi Bonatti & Lorenza Lorenzetti, 2016. "The co-evolution of tax evasion, social capital and policy responses: A theoretical approach," DEM Working Papers 2016/08, Department of Economics and Management.
    26. Atanas Pekanov & Margit Schratzenstaller, 2019. "A Global Financial Transaction Tax. Theory, Practice and Potential Revenues," WIFO Working Papers 582, WIFO.
    27. Yongheng Deng & Xin Liu & Shang-Jin Wei, 2014. "One Fundamental and Two Taxes: When Does a Tobin Tax Reduce Financial Price Volatility?," NBER Working Papers 19974, National Bureau of Economic Research, Inc.
    28. Carlos Contreras & Mónica Contreras, 2015. "Estimación de la recaudación del Impuesto sobre Transacciones Financieras: el caso español," Hacienda Pública Española, IEF, vol. 213(2), pages 109-143, June.
    29. Parthasarathi Shome, 2011. "Financial Transactions Taxes," Working Papers id:3930, eSocialSciences.
    30. 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.
    31. Thornton Matheson, 2012. "Security transaction taxes: issues and evidence," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(6), pages 884-912, December.
    32. Ferdinand Fichtner & Kerstin Bernoth & Franziska Bremus & Karl Brenke & Christian Dreger & Burcu Erdogan & Hendrik Hagedorn & Vladimir Kuzin & Katharina Moll & Maximilian Podstawski & Jasper Scheppe &, 2010. "Sommergrundlinien 2010," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 77(26), pages 2-28.
    33. Peter Gomber & Martin Haferkorn & Kai Zimmermann, 2016. "Securities Transaction Tax and Market Quality – the Case of France," European Financial Management, European Financial Management Association, vol. 22(2), pages 313-337, March.
    34. Gomber, Peter & Haferkorn, Martin & Zimmermann, Kai, 2014. "Securities Transaction Tax in France: Impact on market quality and inter-market price coordination," SAFE White Paper Series 11, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    35. Huber, Jürgen & Kirchler, Michael & Kleinlercher, Daniel & Sutter, Matthias, 2014. "Market vs. Residence Principle: Experimental Evidence on the Effects of a Financial Transaction Tax," IZA Discussion Papers 7978, Institute of Labor Economics (IZA).
    36. 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.
    37. Thomas Hemmelgarn & Gaëtan J.A. Nicodème, 2010. "The 2008 Financial Crisis and Taxation Policy," CESifo Working Paper Series 2932, CESifo Group Munich.
    38. Eichfelder, Sebastian & Lau, Mona, 2016. "Financial transaction taxes: Announcement effects, short-run effects, and long-run effects," arqus Discussion Papers in Quantitative Tax Research 211, arqus - Arbeitskreis Quantitative Steuerlehre.
    39. Lendvai, Julia & Raciborski, Rafal & Vogel, Lukas, 2013. "Macroeconomic effects of an equity transaction tax in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(2), pages 466-482.
    40. Thornton Matheson, 2011. "Taxing Financial Transactions; Issues and Evidence," IMF Working Papers 11/54, International Monetary Fund.
    41. Eichfelder, Sebastian & Lau, Mona & Noth, Felix, 2017. "Financial transaction taxes: Announcement effects, short-run effects, and long-run effects," IWH Discussion Papers 4/2017, Halle Institute for Economic Research (IWH).
    42. Michele Dell’Era, 2018. "Financial Transaction Taxes and Expert Advice," Working and Discussion Papers WP 4/2018, Research Department, National Bank of Slovakia.
    43. Anna Pomeranets & Daniel G. Weaver, 2011. "Security Transaction Taxes and Market Quality," Staff Working Papers 11-26, Bank of Canada.
    44. Massimo Milevoj, 2016. "Financial transactions taxation in the European Union and Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 40(3), pages 319-336.
    45. European Commission, 2010. "Tax Policy after the Crisis: Monitoring Tax Revenues and Tax Reforms in EU Member States 2010 Report," Taxation Papers 24, Directorate General Taxation and Customs Union, European Commission.
    46. Veronika Solilová & Danuše Nerudová & Marian Dobranschi, 2017. "Sustainability-oriented future EU funding: a financial transaction tax," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(4), pages 687-731, November.
    47. Matthias Kalkuhl & Mekbib Haile & Lukas Kornher & Marta Kozicka, 2015. "Cost-benefit framework for policy action to navigate food price spikes. FOODSECURE Working Paper No 33," FOODSECURE Working papers 33, LEI Wageningen UR.
    48. Stephan Meyer & Martin Wagener & Christof Weinhardt, 2015. "Politically Motivated Taxes in Financial Markets: The Case of the French Financial Transaction Tax," Journal of Financial Services Research, Springer;Western Finance Association, vol. 47(2), pages 177-202, April.
    49. Michler Albrecht F. & Penatzer Markus, 2012. "Finanztransaktionssteuer: Zielsetzungen und potenzielle Auswirkungen / Financial transaction tax: Objectives and potential effects," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 63(1), pages 85-108, January.
    50. Eichfelder, Sebastian & Lau, Mona & Noth, Felix, 2018. "The impact of financial transaction taxes on stock markets: Short-run effects, long-run effects, and migration," arqus Discussion Papers in Quantitative Tax Research 228, arqus - Arbeitskreis Quantitative Steuerlehre.
    51. Veronika Solilová & Danuše Nerudová, 2015. "Financial Transaction Tax: Determination of Economic Impact Under DSGE Model," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(2), pages 627-637.

  10. 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.

  11. Badi H. Baltagi & Dong Li, 2002. "Series Estimation of Partially Linear Panel Data Models with Fixed Effects," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 103-116, May.
    See citations under working paper version above.
  12. Wen, Mei & Li, Dong & Lloyd, Peter, 2002. "Ownership and Technical Efficiency: A Cross-Section Study on the Third Industrial Census of China," Economic Development and Cultural Change, University of Chicago Press, vol. 50(3), pages 709-734, April.

    Cited by:

    1. Wen, Mei, 2004. "Bankruptcy, sale, and mergers as a route to the reform of Chinese SOEs," China Economic Review, Elsevier, vol. 15(3), pages 249-267.
    2. Wu, Zai Bin & Yeung, Godfrey & Mok, Vincent & Han, Zhaozhou, 2007. "Firm-specific knowledge and technical efficiency of watch and clock manufacturing firms in China," International Journal of Production Economics, Elsevier, vol. 107(2), pages 317-332, June.
    3. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    4. Illukpitiya, Prabodh & Yanagida, John F., 2010. "Farming vs forests: Trade-off between agriculture and the extraction of non-timber forest products," Ecological Economics, Elsevier, vol. 69(10), pages 1952-1963, August.
    5. Xunpeng Shi & R. Grafton, 2010. "Efficiency impacts of the Chinese industrial transition: a quantitative evaluation of reforms in the coal industry," Economic Change and Restructuring, Springer, vol. 43(1), pages 1-19, February.

  13. 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. Delis, Manthos D & Iosifidi, Maria & Tsionas, Efthymios, 2012. "On the estimation of marginal cost," MPRA Paper 43514, University Library of Munich, Germany.
    8. 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.
    9. 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.
    10. 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.
    11. Huang, Zhensheng & Zhang, Riquan, 2009. "Empirical likelihood for nonparametric parts in semiparametric varying-coefficient partially linear models," Statistics & Probability Letters, Elsevier, vol. 79(16), pages 1798-1808, August.
    12. 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.
    13. Michael Delgado, 2013. "A smooth coefficient model of carbon emissions," Empirical Economics, Springer, vol. 45(3), pages 1049-1071, December.
    14. Sophocles N. Brissimis & Manthos D. Delis & Maria Iosifidi, 2014. "Bank Market Power and Monetary Policy Transmission," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 173-214, December.
    15. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    16. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    17. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    18. Brantly Callaway & Weige Huang, 2018. "Local Intergenerational Elasticities," DETU Working Papers 1805, Department of Economics, Temple University.
    19. Ketteni, Elena & Kottaridi, Constantina, 2019. "The impact of regulations on the FDI-growth nexus within the institution-based view: A nonlinear specification with varying coefficients," International Business Review, Elsevier, vol. 28(3), pages 415-427.
    20. Zhou, Xian & You, Jinhong, 2004. "Wavelet estimation in varying-coefficient partially linear regression models," Statistics & Probability Letters, Elsevier, vol. 68(1), pages 91-104, June.
    21. Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
    22. Sun, Kai & Kumbhakar, Subal C., 2013. "Semiparametric smooth-coefficient stochastic frontier model," Economics Letters, Elsevier, vol. 120(2), pages 305-309.
    23. 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).
    24. You, Jinhong & Zhou, Yong, 2006. "Empirical likelihood for semiparametric varying-coefficient partially linear regression models," Statistics & Probability Letters, Elsevier, vol. 76(4), pages 412-422, February.
    25. Gao, Yichen & Li, Cong & Liang, Zhongwen, 2015. "Binary response correlated random coefficient panel data models," Journal of Econometrics, Elsevier, vol. 188(2), pages 421-434.
    26. Zongwu Cai, 2013. "Functional Coefficient Models for Economic and Financial Data," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    27. 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).
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  14. Badi H. Baltagi & Dong Li, 2001. "LM Tests for Functional Form and Spatial Error Correlation," International Regional Science Review, , vol. 24(2), pages 194-225, April.

    Cited by:

    1. Harald Badinger & Peter Egger, 2014. "Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances," Department of Economics Working Papers wuwp173, Vienna University of Economics and Business, Department of Economics.
    2. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    3. Peter M Robinson, 2009. "Correlation Testing in Time Series, SpatialandCross-Sectional Data," STICERD - Econometrics Paper Series 530, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. Zhengyu Zhang, 2013. "A Pairwise Difference Estimator for Partially Linear Spatial Autoregressive Models," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(2), pages 176-194, June.
    5. Robinson, P.M., 2008. "Correlation testing in time series, spatial and cross-sectional data," Journal of Econometrics, Elsevier, vol. 147(1), pages 5-16, November.
    6. Robinson, Peter, 2008. "Correlation testing in time series, spatial and cross-sectional data," LSE Research Online Documents on Economics 25470, London School of Economics and Political Science, LSE Library.
    7. Harald Badinger & Peter Egger, 2014. "Fixed Effects and Random Effects Estimation of Higher-Order Spatial Autoregressive Models with Spatial Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 4847, CESifo Group Munich.
    8. Peter M Robinson, 2009. "Developments in the Analysis of Spatial Data," STICERD - Econometrics Paper Series 531, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    9. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    10. Taşpınar, Süleyman & Doğan, Osman & Bera, Anil K., 2017. "GMM gradient tests for spatial dynamic panel data models," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 65-88.
    11. Bera, Anil K. & Doğan, Osman & Taşpınar, Süleyman, 2018. "Simple tests for endogeneity of spatial weights matrices," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 130-142.
    12. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
    13. Peter Robinson, 2007. "Correlation testing in time series, spatial and cross-sectional data," CeMMAP working papers CWP01/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Li, Haiqi & Fan, Rui & Park, Sung Y., 2018. "Generalized empirical likelihood specification test robust to local misspecification," Economics Letters, Elsevier, vol. 171(C), pages 149-153.
    15. Robinson, Peter, 2008. "Developments in the analysis of spatial data," LSE Research Online Documents on Economics 25473, London School of Economics and Political Science, LSE Library.

  15. Badi Baltagi & Dong Li, 2001. "Double Length Artificial Regressions For Testing Spatial Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 20(1), pages 31-40.

    Cited by:

    1. Benjamin Born & Jörg Breitung, 2011. "Simple regression‐based tests for spatial dependence," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 330-342, July.
    2. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.
    3. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    4. Badi Baltagi & Long Liu, 2014. "Testing for spatial lag and spatial error dependence using double length artificial regressions," Statistical Papers, Springer, vol. 55(2), pages 477-486, May.
    5. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    6. Wolfgang Keller & Carol H. Shiue, 2003. "The Origins of Spatial Interaction," NBER Working Papers 10069, National Bureau of Economic Research, Inc.
    7. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    8. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    9. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    10. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    11. Le, Canh Quang & Li, Dong, 2008. "Double-Length Regression tests for testing functional forms and spatial error dependence," Economics Letters, Elsevier, vol. 101(3), pages 253-257, December.
    12. Donou-Adonsou, Ficawoyi, 2019. "Technology, education, and economic growth in Sub-Saharan Africa," Telecommunications Policy, Elsevier, vol. 43(4), pages 353-360.
    13. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    14. Joachim Möller, 2009. "Regional variations in the price of building land: a spatial econometrics approach for West Germany," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(1), pages 113-132, March.
    15. Harry H. Kelejian & Ingmar R. Prucha, 2008. "Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 2448, CESifo Group Munich.
    16. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
    17. Joachim Möller & Alisher Aldashev, 2006. "Interregional differences in labor market participation," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 26(1), pages 25-50, March.

  16. Baltagi, Badi H. & Li, Dong, 2000. "Double-length regressions for the Box-Cox difference model with heteroskedasticity or autocorrelation," Economics Letters, Elsevier, vol. 69(1), pages 9-14, October.

    Cited by:

    1. Z. L. Yang Y. K. Tse, 2004. "Tests of Functional Form and Heteroscedasticity," Econometric Society 2004 Australasian Meetings 302, Econometric Society.
    2. Li Dong & Le Canh, 2010. "Nonlinearity and Spatial Lag Dependence: Tests Based on Double-Length Regressions," Journal of Time Series Econometrics, De Gruyter, vol. 2(1), pages 1-18, June.
    3. Badi Baltagi & Long Liu, 2014. "Testing for spatial lag and spatial error dependence using double length artificial regressions," Statistical Papers, Springer, vol. 55(2), pages 477-486, May.

  17. Dong Li & Shao-King Lin & Chulin Li, 1997. "The impact of settlement time on the volatility of stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 7(6), pages 689-694.

    Cited by:

    1. Isabel Parra-Frutos, 2009. "The behaviour of the modified Levene’s test when data are not normally distributed," Computational Statistics, Springer, vol. 24(4), pages 671-693, December.
    2. Su, Yongyang, 2010. "The impact of the securities transaction taxes on the Chinese stock market," MPRA Paper 22695, University Library of Munich, Germany, revised 13 May 2010.

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