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Cheng Hsiao

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:

    Mentioned in:

    1. H-Index for Journals
      by Francis Diebold in No Hesitations on 2018-03-08 17:47:00
  1. Author Profile
    1. Ranking California Economists as of May 2015
      by Matthew Kahn in Environmental and Urban Economics on 2015-06-04 02:25:00
    2. REPEC's Rankings of USC Economics
      by Matthew Kahn in Environmental and Urban Economics on 2018-01-21 18:23:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.

    Mentioned in:

    1. Aggregate vs. disaggregate data analysis—a paradox in the estimation of a money demand function of Japan under the low interest rate policy (Journal of Applied Econometrics 2005) in ReplicationWiki ()
  2. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.

    Mentioned in:

    1. A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China (Journal of Applied Econometrics 2012) in ReplicationWiki ()
  3. Arguea, N M & Hsiao, C & Taylor, G A, 1994. "Estimating Consumer Preferences Using Market Data--An Application to U.S. Automobile Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(1), pages 1-18, Jan.-Marc.

    Mentioned in:

    1. Estimating consumer preferences using market data—an application to us automobile demand (Journal of Applied Econometrics 1994) in ReplicationWiki ()

Working papers

  1. Cheng Hsiao & Qiankun Zhou, 2018. "Panel Parametric, Semi-parametric and Nonparametric Construction of Counterfactuals - California Tobacco Control Revisited," Departmental Working Papers 2018-02, Department of Economics, Louisiana State University.

    Cited by:

    1. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    2. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    3. Furno, Marilena, 2021. "The synthetic control approach: Multivalued treatments at the quantiles," Research in Economics, Elsevier, vol. 75(1), pages 7-20.

  2. Bing Jiang & Yanrong Yang & Jiti Gao & Cheng Hsiao, 2017. "Recursive estimation in large panel data models: Theory and practice," Monash Econometrics and Business Statistics Working Papers 5/17, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Papers 2208.03632, arXiv.org, revised Apr 2023.
    2. Feng, Guohua & Gao, Jiti & Peng, Bin, 2022. "An integrated panel data approach to modelling economic growth," Journal of Econometrics, Elsevier, vol. 228(2), pages 379-397.
    3. Guohua Feng & Jiti Gao & Bin Peng, 2022. "Multi-Level Panel Data Models: Estimation and Empirical Analysis," Monash Econometrics and Business Statistics Working Papers 4/22, Monash University, Department of Econometrics and Business Statistics.
    4. Guohua Feng & Jiti Gao & Bin Peng, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 6/19, Monash University, Department of Econometrics and Business Statistics.
    5. Bin Ping & Liangju Su & Yanrong Yang & Joakim Westerlund, 2023. "Interactive-effects panel-data models with general factors and regressors," French Stata Users' Group Meetings 2023 14, Stata Users Group.
    6. Milda Norkute & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2021. "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," Bank of Lithuania Working Paper Series 90, Bank of Lithuania.
    7. 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.
    8. Feng, Guohua & Peng, Bin & Su, Liangjun & Yang, Thomas Tao, 2019. "Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice," Journal of Econometrics, Elsevier, vol. 212(2), pages 607-622.
    9. Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023. "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 235(2), pages 927-948.
    10. Fei Liu & Jiti Gao & Yanrong Yang, 2019. "Nonparametric Estimation in Panel Data Models with Heterogeneity and Time Varyingness," Monash Econometrics and Business Statistics Working Papers 24/19, Monash University, Department of Econometrics and Business Statistics.
    11. Jiti Gao & Bin Peng & Yayi Yan, 2022. "Nonparametric Estimation and Testing for Time-Varying VAR Models," Monash Econometrics and Business Statistics Working Papers 3/22, Monash University, Department of Econometrics and Business Statistics.
    12. Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2012.03182, arXiv.org, revised Nov 2021.
    13. Jiti Gao & Fei Liu & Bin peng, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Monash Econometrics and Business Statistics Working Papers 44/20, Monash University, Department of Econometrics and Business Statistics.
    14. Guohua Feng & Jiti Gao & Bin Peng, 2021. "Productivity Convergence in Manufacturing: A Hierarchical Panel Data Approach," Monash Econometrics and Business Statistics Working Papers 16/21, Monash University, Department of Econometrics and Business Statistics.

  3. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.

    Cited by:

    1. Desjardins, Denise & Dionne, Georges & Koné, N’Golo, 2022. "Reinsurance demand and liquidity creation: A search for bicausality," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 137-154.
    2. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    3. Chao, John C. & Swanson, Norman R. & Woutersen, Tiemen, 2023. "Jackknife estimation of a cluster-sample IV regression model with many weak instruments," Journal of Econometrics, Elsevier, vol. 235(2), pages 1747-1769.
    4. Fengyu Wu, 2020. "An Examination of the Effects of Consumption Expenditures on Life Satisfaction in Australia," Journal of Happiness Studies, Springer, vol. 21(8), pages 2735-2771, December.

  4. Cheng Hsiao & Qiankun Zhou, 2017. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Departmental Working Papers 2017-11, Department of Economics, Louisiana State University.

    Cited by:

    1. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space-time panel data models using ?-contamination: An application to crop yields and climate change," CIRANO Working Papers 2023s-01, CIRANO.
    3. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    4. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
    5. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.
    6. Shobande, Olatunji A., 2023. "Rethinking social change: Does the permanent and transitory effects of electricity and solid fuel use predict health outcome in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    7. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.

  5. Cheng Hsiao & Yan Shen & Wenlong Bian, 2016. "Evaluating the Effectiveness of China's Financial Reform The Efficiency of China's Domestic Banks," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.

    Cited by:

    1. Chen, Zhongfei & Wanke, Peter & Tsionas, Mike G., 2018. "Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach," Economic Modelling, Elsevier, vol. 73(C), pages 254-263.
    2. Chen, Zhongfei & Matousek, Roman & Wanke, Peter, 2018. "Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and Support Vector Machines☆," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 71-86.
    3. Yongyuan Ma & Ao Shen & Qingyuan Zhu & Peng Wang, 2022. "Media environment, venture capital, and technological innovation: Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 1734-1747, September.
    4. Zhang, Longyao & Hsu, Sara & Xu, Zhong & Cheng, Enjiang, 2020. "Responding to financial crisis: Bank credit expansion with Chinese characteristics," China Economic Review, Elsevier, vol. 61(C).
    5. Xie, Qiwei & Xu, Qifan & Chen, Lifan & Jin, Xi & Li, Siqi & Li, Yongjun, 2022. "Efficiency evaluation of China's listed commercial banks based on a multi-period leader-follower model," Omega, Elsevier, vol. 110(C).

  6. 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.

    Cited by:

    1. 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.
    2. Yan Song & Zhenran Li & Xiao Zhang & Ming Zhang, 2021. "Study on indirect economic impacts and their causes of the 2008 Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 1971-1995, September.
    3. Yasuhide Okuyama, 2015. "How shaky was the regional economy after the 1995 Kobe earthquake? A multiplicative decomposition analysis of disaster impact," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 55(2), pages 289-312, December.
    4. Fujiki, Hiroshi & Hsiao, Cheng, 2015. "Disentangling the effects of multiple treatments—Measuring the net economic impact of the 1995 great Hanshin-Awaji earthquake," Journal of Econometrics, Elsevier, vol. 186(1), pages 66-73.
    5. Hao, Shiming, 2021. "True structure change, spurious treatment effect? A novel approach to disentangle treatment effects from structure changes," MPRA Paper 108679, University Library of Munich, Germany.
    6. William DuPont & Ilan Noy, 2012. "What Happened to Kobe? A Reassessment of the Impact of the 1995 Earthquake in Japan," Working Papers 201204, University of Hawaii at Manoa, Department of Economics.
    7. Cuong Nguyen & Ilan Noy & Dag Einar Sommervoll & Fang Yao, 2020. "Redrawing of a Housing Market: Insurance Payouts and Housing Market Recovery in the Wake of the Christchurch Earthquake of 2011," CESifo Working Paper Series 8560, CESifo.
    8. 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).
    9. du Pont IV, William & Okuyama, Yoko & Noy, Ilan & Sawada, Yasuyuki, 2015. "The long-run socio-economic consequences of a large disaster: The 1995 earthquake in Kobe," Working Paper Series 19264, Victoria University of Wellington, School of Economics and Finance.
    10. Carlos Viana de Carvalho & Ricardo Masini & Marcelo Cunha Medeiros, 2016. "ARCO: an artificial counterfactual approach for high-dimensional panel time-series data," Textos para discussão 653, Department of Economics PUC-Rio (Brazil).
    11. I. Koetsier, 2017. "The fiscal impact of natural disasters," Working Papers 17-17, Utrecht School of Economics.
    12. Massimiliano Mazzanti & Antonio Musolesi, 2020. "Modeling Green Knowledge Production and Environmental Policies with Semiparametric Panel Data Regression models," SEEDS Working Papers 1420, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Sep 2020.
    13. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    14. Pengyu Chen, 2022. "Analysis of the post-earthquake economic recovery of the most severely affected areas in the 2008 Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2633-2655, December.
    15. Massimiliano Mazzanti & Antonio Musolesi, 2020. "A Semiparametric Analysis of Green Inventions and Environmental Policies," SEEDS Working Papers 0920, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2020.
    16. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    17. Cuong Nguyen & Ilan Noy & Dag Einar Sommervoll & Fang Yao, 2023. "Settling insurance claims with cash or repair and housing market recovery after an earthquake," Economics of Disasters and Climate Change, Springer, vol. 7(1), pages 117-134, March.
    18. 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.

  7. 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.

    Cited by:

    1. 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.

  8. WANG, Shin-Huei & BAUWENS, Luc & HSIAO, Cheng, 2012. "Forecasting long memory processes subject to structural breaks," LIDAM Discussion Papers CORE 2012048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    2. Gong, Xu & Lin, Boqiang, 2018. "Structural changes and out-of-sample prediction of realized range-based variance in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 27-39.
    3. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    4. Ding, Yi & Kambouroudis, Dimos & McMillan, David G., 2021. "Forecasting realised volatility: Does the LASSO approach outperform HAR?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    5. Wang, Yudong & Hao, Xianfeng, 2023. "Forecasting the real prices of crude oil: What is the role of parameter instability?," Energy Economics, Elsevier, vol. 117(C).
    6. Erdenebat Bataa & Marwan Izzeldin & Denise Osborn, 2015. "Changes in the global oil market," Working Papers 75761696, Lancaster University Management School, Economics Department.
    7. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2016. "Forecasting crude oil market volatility: A Markov switching multifractal volatility approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 1-9.
    8. Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Dynamics of variance risk premia: A new model for disentangling the price of risk," Journal of Econometrics, Elsevier, vol. 217(2), pages 312-334.
    9. Papailias, Fotis & Fruet Dias, Gustavo, 2015. "Forecasting long memory series subject to structural change: A two-stage approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1056-1066.
    10. Caporin, Massimiliano & Velo, Gabriel G., 2015. "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 98-112.

  9. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from Public Opinion Survey on Household Financial Assets and Liabilities," IMES Discussion Paper Series 08-E-17, Institute for Monetary and Economic Studies, Bank of Japan.

    Cited by:

    1. Hiroshi Fujiki, 2013. "Japanese Money Demand from the Regional Data: An Update and Some Additional Results," IMES Discussion Paper Series 13-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    2. Franz Seitz & Julian von Landesberger, 2014. "Household Money Holdings in the Euro Area: An Explorative Investigation," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(2), pages 83-115, November.
    3. Franz Seitz & Julian von Landesberger, 2012. "Household Money Demand: The Euro Area Case," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(III), pages 409-438, September.
    4. Robert Calvert Jump, 2018. "Inequality And Aggregate Demand In The Is‐Lm And Is‐Mp Models," Bulletin of Economic Research, Wiley Blackwell, vol. 70(3), pages 269-276, July.

  10. WANG , Shin-Huei & HSIAO, Cheng, 2008. "An easy test for two stationary long processes being uncorrelated via AR approximations," LIDAM Discussion Papers CORE 2008047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Ding, Yi & Kambouroudis, Dimos & McMillan, David G., 2021. "Forecasting realised volatility: Does the LASSO approach outperform HAR?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).

  11. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.

    Cited by:

    1. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.
    2. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    4. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust Linear Static Panel Data Models Using ?-Contamination," IZA Discussion Papers 8661, Institute of Labor Economics (IZA).
    5. Cem Ertur & Antonio Musolesi, 2014. "Dépendance individuelle forte et faible : une analyse en données de panel de la diffusion internationale de la technologie," Working Papers halshs-01015208, HAL.
    6. Cern Ertur & Antonio Musolesi, 2012. "Spatial autoregressive spillovers vs unobserved common factors models. A panel data analysis of international technology diffusion," INRA UMR CESAER Working Papers 2012/9, INRA UMR CESAER, Centre d'’Economie et Sociologie appliquées à l'’Agriculture et aux Espaces Ruraux.
    7. Hermann Singer, 2011. "Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 375-413, December.
    8. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2014. "Robust linear static panel data models using epsilon-contamination," MPRA Paper 59896, University Library of Munich, Germany.

  12. 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.

    Cited by:

    1. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.
    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. Bresson, G. & Etienne, J-M. & Mohnen, P., 2014. "How important is innovation? : A Bayesian factor-augmented productivity model on panel data," MERIT Working Papers 2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.
    5. Hermann Singer, 2011. "Continuous-discrete state-space modeling of panel data with nonlinear filter algorithms," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 375-413, December.
    6. 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. Hsiao, Cheng & Pesaran, M. Hashem & Pick, Andreas, 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," IZA Discussion Papers 2756, Institute of Labor Economics (IZA).

    Cited by:

    1. J. Atsu Amegashie & Bazoumana Ouattara & Eric Strobl, 2007. "Moral Hazard and the Composition of Transfers: Theory with an Application to Foreign Aid," Working Papers 0702, University of Guelph, Department of Economics and Finance.
    2. Mammadova, Aytan & Mammadova, Leyla & Mammadov, Fuad & Yusifzade, Leyla, 2016. "Determinants of depositors’ behaviour: Heterogeneous panel estimates," MPRA Paper 72159, University Library of Munich, Germany.
    3. Nikos Benos & Nikolaos Mylonidis & Stefania Zotou, 2017. "Estimating production functions for the US states: the role of public and human capital," Empirical Economics, Springer, vol. 52(2), pages 691-721, March.
    4. Martí Ballester, Carmen Pilar, 2013. "Determinants of equity pension plan flows," Economics Discussion Papers 2013-15, Kiel Institute for the World Economy (IfW Kiel).
    5. Zeidan, Rodrigo & Müllner, Jakob, 2015. "Firm, market and top management antecedents of speculation: Lessons for corporate governance," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 42-58.
    6. Li Yang & Sumaiya Bashiru Danwana & Fadilul-lah Yassaanah Issahaku, 2022. "Achieving Environmental Sustainability in Africa: The Role of Renewable Energy Consumption, Natural Resources, and Government Effectiveness—Evidence from Symmetric and Asymmetric ARDL Models," IJERPH, MDPI, vol. 19(13), pages 1-26, June.
    7. Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
    8. G. Pan & J. Gao & Y. Yang & M. Guo, 2012. "Independence Test for High Dimensional Random Vectors," Monash Econometrics and Business Statistics Working Papers 1/12, Monash University, Department of Econometrics and Business Statistics.
    9. Carmen Pilar Marti & M. Rosa Rovira‐Val & Lisa G. J. Drescher, 2015. "Are Firms that Contribute to Sustainable Development Better Financially?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 22(5), pages 305-319, September.
    10. Carmen Pilar Martí Ballester, 2014. "Determinants of equity pension plan flows," Estudios de Economia, University of Chile, Department of Economics, vol. 41(1 Year 20), pages 125-148, June.
    11. George Halkos & George Ekonomou, 2023. "Can Business and Leisure Tourism Spending Lead to Lower Environmental Degradation Levels? Research on the Eurozone Economic Space," Sustainability, MDPI, vol. 15(7), pages 1-16, March.
    12. Guangming Pan & Jiti Gao & Yanrong Yang & Meihui Guo, 2015. "Cross-sectional Independence Test for a Class of Parametric Panel Data Models," Monash Econometrics and Business Statistics Working Papers 17/15, Monash University, Department of Econometrics and Business Statistics.

  14. Cheng Hsiao & Siyan Wang, 2006. "Lag-Augmented Two- and Three-Stage Least Squares Estimators for Integrated Structural Dynamic Models," IEPR Working Papers 06.55, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Krzysztof Bartosik & Jerzy Mycielski, 2016. "Dynamika płac a długotrwałe bezrobocie w polskiej gospodarce," Bank i Kredyt, Narodowy Bank Polski, vol. 47(5), pages 435-462.
    2. Krzysztof Bartosik & Jerzy Mycielski, 2017. "The output employment elasticity and the increased use of temporary contracts: evidence from Poland," Working Papers 2017-23, Faculty of Economic Sciences, University of Warsaw.
    3. Matthew Oliver & Charles Mason & David Finnoff, 2014. "Pipeline congestion and basis differentials," Journal of Regulatory Economics, Springer, vol. 46(3), pages 261-291, December.

  15. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Elena DRUICĂ & Zizi GOSCHIN & Cristian BĂICUȘ, 2018. "Regional socio-economic factors influencing diabetes incidence: the case of Romania," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 87-109, June.
    2. Sun, Yajie & Liao, Wen-Chi, 2021. "Resource-Exhausted City Transition to continue industrial development," China Economic Review, Elsevier, vol. 67(C).
    3. Faris Alshubiri & Mohamed Elheddad & Syed Ahsan Jamil & Nassima Djellouli, 2021. "The impacts of financial depth and foreign direct investment on the green and non-green energy consumption of OPEC members," SN Business & Economics, Springer, vol. 1(6), pages 1-29, June.
    4. Austmann, Leonhard M. & Vigne, Samuel A., 2021. "Does environmental awareness fuel the electric vehicle market? A Twitter keyword analysis," Energy Economics, Elsevier, vol. 101(C).
    5. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
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    Cited by:

    1. Fabrizio Coricelli & Mathilde Maurel, 2010. "Growth and crisis in transition: a comparative perspective," Post-Print halshs-00469327, HAL.
    2. Campos, Nauro F. & Horváth, Roman, 2006. "Reform Redux: Measurement, Determinants and Reversals," IZA Discussion Papers 2093, Institute of Labor Economics (IZA).
    3. Neil Foster, 2008. "The Impact of Trade Liberalisation on Economic Growth: Evidence from a Quantile Regression Analysis," Kyklos, Wiley Blackwell, vol. 61(4), pages 543-567, November.

  17. 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. 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.
    2. 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.
    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. Kwabena Gyimah-Brempong & Jeffrey S. Racine, 2014. "Aid and Economic Growth: A Robust Approach," Department of Economics Working Papers 2014-03, McMaster University.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.
    10. 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.
    11. Jun Ma & Vadim Marmer & Zhengfei Yu, 2021. "Inference on Individual Treatment Effects in Nonseparable Triangular Models," Papers 2107.05559, arXiv.org, revised Feb 2023.
    12. Wang, Le, 2012. "Estimating Returns to Education when the IV Sample is Selective," IZA Discussion Papers 7103, Institute of Labor Economics (IZA).
    13. 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.
    14. Man, Georg, 2014. "Political competition and economic growth: A nonlinear relationship?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 287-302.
    15. 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.
    16. 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.
    17. 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.
    18. Jibonayan Raychaudhuri & Ada Wossink, 2018. "Ecolabels and The Economic Recession," Economics Discussion Paper Series 1807, Economics, The University of Manchester.
    19. 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.
    20. Shahbaz, Muhammad & Shafiullah, Muhammad & Khalid, Usman & Song, Malin, 2020. "A Nonparametric Analysis of Energy Environmental Kuznets Curve in Chinese Provinces," MPRA Paper 100769, University Library of Munich, Germany, revised 19 May 2020.
    21. Feng Yao & Junsen Zhang, 2013. "Efficient Kernel-Based Semiparametric IV Estimation with an Application to Resolving a Puzzle on the Estimates of the Return to Schooling," Working Papers 13-01, Department of Economics, West Virginia University.
    22. 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.
    23. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    24. 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.
    25. Valentin Zelenyuk & Leopold Simar, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," CEPA Working Papers Series WP102011, School of Economics, University of Queensland, Australia.
    26. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    27. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    28. Harry Haupt & Joachim Schnurbus & Rolf Tschernig, 2010. "On nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 894-901.
    29. 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.
    30. 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.
    31. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).
    32. 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.
    33. 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.
    34. 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).
    35. 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.
    36. Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
    37. Pecoraro, Brandon, 2014. "Inequality in democracies: Testing the classic democratic theory of redistribution," Economics Letters, Elsevier, vol. 123(3), pages 398-401.
    38. 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.
    39. 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.
    40. 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.
    41. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    42. 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.
    43. 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.
    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. 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.
    46. 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.
    47. 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.
    48. 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.
    49. : 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.
    50. 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.
    51. 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.
    52. 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.
    53. Syed F. Mahmud & Murat Tiniç, 2018. "Herding in Chinese stock markets: a nonparametric approach," Empirical Economics, Springer, vol. 55(2), pages 679-711, September.
    54. Guido Candela & Massimiliano Castellani & Pierpaolo Pattitoni, 2012. "Tribal art market: signs and signals," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(4), pages 289-308, November.
    55. 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.
    56. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).
    57. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.
    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, Center for Economic and Financial Research (CEFIR).
    59. 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.
    60. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.
    61. 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.
    62. Chuku, Chuku & Onye, Kenneth & Ajah, Hycent, 2015. "Structural and institutional determinants of investment activity in Africa," MPRA Paper 68163, University Library of Munich, Germany.
    63. 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.
    64. 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).
    65. Wang, Luya, 2022. "Adaptive testing using data-driven method selecting smoothing parameters," Economics Letters, Elsevier, vol. 215(C).
    66. 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.
    67. 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.
    68. Hayfield, Tristen & Racine, Jeffrey S., 2008. "Nonparametric Econometrics: The np Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i05).
    69. 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.
    70. 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.
    71. 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).
    72. 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.
    73. Galina Besstremyannaya, 2014. "Urban inequity in the performance of social health insurance system: evidence from Russian regions," Working Papers w0204, New Economic School (NES).
    74. 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.
    75. 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.
    76. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    77. 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.
    78. 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.
    79. 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.
    80. 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.
    81. 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.
    82. 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.
    83. 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).
    84. 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.
    85. 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.
    86. 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.
    87. 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.
    88. 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.
    89. 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.
    90. 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).
    91. 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.
    92. 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.
    93. 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.
    94. 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.
    95. 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.
    96. W. Walls, 2009. "Screen wars, star wars, and sequels," Empirical Economics, Springer, vol. 37(2), pages 447-461, October.
    97. 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.
    98. 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).
    99. 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.
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    101. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    102. 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.
    103. Liu, Liyi & McManus, Doug & Yannopoulos, Elias, 2022. "Geographic and temporal variation in housing filtering rates," Regional Science and Urban Economics, Elsevier, vol. 93(C).
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    105. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
    106. 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.
    107. 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.
    108. 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.

  18. Cheng Hsiao & Siyan Wang, 2005. "Should China Let Her Exchange Rate Float? — the Experience of Developing Countries," Economic Growth Centre Working Paper Series 0509, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.

    Cited by:

    1. Muhammad Naveed Jamil & Abdul Rasheed & Adnan Maqbool & Zeeshan Mukhtar, 2023. "Cross-cultural study the macro variables and its impact on exchange rate regimes," Future Business Journal, Springer, vol. 9(1), pages 1-15, December.

  19. Cheng Hsiao, 2005. "Why Panel Data?," IEPR Working Papers 05.33, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Ho, Sin-Yu, 2018. "Determinants of Economic Growth in Hong Kong: The Role of Stock Market Development," MPRA Paper 88788, University Library of Munich, Germany.
    2. Raquel Redondo & Carmen Valor & Isabel Carrero, 2022. "Unraveling the Relationship between Well-Being, Sustainable Consumption and Nature Relatedness: a Study of University Students," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(2), pages 913-930, April.
    3. Juan-Gabriel Gonzalez-Morales & Marina Checa-Olivas & Rafael Cano-Guervos, 2021. "Impact of Evictions and Tourist Apartments on the Residential Rental Market in Spain," Sustainability, MDPI, vol. 13(13), pages 1-13, July.
    4. Wenbin Sun & Shanji Yao & Rahul Govind, 2019. "Reexamining Corporate Social Responsibility and Shareholder Value: The Inverted-U-Shaped Relationship and the Moderation of Marketing Capability," Journal of Business Ethics, Springer, vol. 160(4), pages 1001-1017, December.
    5. Shafique, Attayah & Ayub, Usman & Zakaria, Muhammad, 2019. "Don’t let the Greed catch you! Pleonexia rule applied to Pakistan stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 157-168.
    6. Khanindra Ch. Das & Mantu Kumar Mahalik, 2021. "Assessment of Overseas Subsidiary Survival in Chinese Provinces: A Longitudinal Study of Indian Multinationals," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(2), pages 190-207, June.
    7. Lazzem, Safa & Jilani, Faouzi, 2018. "The impact of leverage on accrual-based earnings management: The case of listed French firms," Research in International Business and Finance, Elsevier, vol. 44(C), pages 350-358.
    8. Krubnik, Alicja, 2021. "IMF conditionality, social programmes and the impact of women's welfare: an empirical analysis of historical policy responses to financial crises in Latin America and their gendered effects," LSE Research Online Documents on Economics 112939, London School of Economics and Political Science, LSE Library.
    9. Pooja Thakur & L.G. Burange, 2016. "An Analysis of Productivity Spillovers from Foreign Direct Investment in India’s Services Sector," Foreign Trade Review, , vol. 51(4), pages 271-286, November.
    10. Mdingi, Kholeka & Ho, Sin-Yu, 2023. "Income inequality and economic growth: An empirical investigation in South Africa," MPRA Paper 117733, University Library of Munich, Germany.
    11. Inderjit Kaur, 2017. "Performance of Equity Mutual Fund and Educational Credentials of Fund Manager," Vision, , vol. 21(1), pages 23-34, March.
    12. Taimoor Arif Kiani & Samina Sabir & Unbreen Qayyum & Sohail Anjum, 2023. "Estimating the effect of technological innovations on environmental degradation: empirical evidence from selected ASEAN and SAARC countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6529-6550, July.
    13. Sebastian ENEA & Silvia PALASCA, 2014. "Assessing Economic Vulnerability In The European Union," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 1, pages 90-103.
    14. Ludo Cuyvers & Reth Soeng, 2011. "The effects of Belgian outward direct investment in European high‐wage and low‐wage countries on employment in Belgium," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(3), pages 300-312, June.
    15. Rao, Purnima & Goyal, Nisha & Kumar, Satish & Hassan, M. Kabir & Shahimi, Shahida, 2021. "Vulnerability of financial markets in India: The contagious effect of COVID-19," Research in International Business and Finance, Elsevier, vol. 58(C).
    16. Tavi Supriana & Chicka Willy Yanti, 2013. "Prospect of Indonesia black and white peppers export," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 5(1), pages 1-14, April.
    17. Vogiazas, Sophocles & Alexiou, Constantinos, 2014. "‘Putting The Horse Before The Cart’: A Pre-Crisis Panel Data Investigation Of Greek Bank’S Credit Growth," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 10(1-2), January.
    18. Luis Otero-González & Luis-Ignacio Rodríguez-Gil & Milagros Vivel-Búa & Aracely Tamayo-Herrera, 2022. "Family Ownership, Corporate Governance and Risk-Taking," JRFM, MDPI, vol. 15(3), pages 1-15, February.
    19. Cuyvers, Ludo & Soeng, Reth & Plasmans, Joseph & Van Den Bulcke, Daniel, 2011. "Determinants of foreign direct investment in Cambodia," Journal of Asian Economics, Elsevier, vol. 22(3), pages 222-234, June.
    20. Odunayo Magret Olarewaju & Stephen Oseko Migiro & Mabutho Sibanda, 2017. "Effect of Agency Costs on Executive Compensation in South African Commercial Banks," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 25-37.
    21. Richard Grabowski & Sharmistha Self, 2022. "Role of agricultural productivity growth in economic development: the neglected impact on institutional quality in Africa," Evolutionary and Institutional Economics Review, Springer, vol. 19(2), pages 681-700, September.
    22. Sophocles Vogiazas & Constantinos Alexiou, 2013. "Liquidity And The Business Cycle: Empirical Evidence From The Greek Banking Sector," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(199), pages 109-126, October -.
    23. Marcelo Rabelo Henrique & Sandro Braz Silva & Ant?nio Saporito & S¨¦rgio Roberto da Silva, 2020. "Determinants of the Capital Structure of Companies Listed on the Stock Exchanges of Argentina, Brazil and Chile: An Empirical Analysis of the Period from 2007 to 2016," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 12(6), pages 1-18, June.
    24. Cunha, André Moreira & Lélis, Marcos Tadeo Caputi & Bredow, Sabrina Monique Schenato, 2022. "Effects of higher commodity prices on exports of manufactures: the case of Brazil," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    25. Steri, Roberto & Giorgino, Marco & Viviani, Diego, 2009. "The Italian hedge funds industry: An empirical analysis of performance and persistence," Journal of Multinational Financial Management, Elsevier, vol. 19(1), pages 75-91, February.
    26. Wang, Jiangbo & Yamamoto, Toshiyuki & Liu, Kai, 2021. "Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models," Transport Policy, Elsevier, vol. 105(C), pages 166-180.
    27. Destaw M. Mazengia & Xia Youfu, 2021. "The Moderating Effect of Institutional Environment on Oilseed Export Competitiveness in Sub-Saharan African Countries," International Journal of Science and Business, IJSAB International, vol. 5(4), pages 189-206.
    28. Ho, Sin-Yu, 2017. "The Macroeconomic Determinants of Stock Market Development: Evidence from Malaysia," MPRA Paper 77232, University Library of Munich, Germany.
    29. CUYVERS, Ludo & PLASMANS, Joseph & SOENG, Reth & VAN DEN BULCKE, Daniël, 2008. "Determinants of foreign direct investment in Cambodia: Country-specific factor differentials," Working Papers 2008003, University of Antwerp, Faculty of Business and Economics.
    30. Ntokozo Patrick Nzimande & Harold Ngalawa, 2017. "The endogeneity of business cycle synchronisation in SADC: A GMM approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1358914-135, January.
    31. Mei Zhang & Jia Tang & Jun Gao, 2023. "Examining the Effects of Built Environments and Individual Characteristics on Commuting Time under Spatial Heterogeneity: An Empirical Study in China Using HLM," Land, MDPI, vol. 12(8), pages 1-20, August.
    32. Ayub, Usman & Qaddus, Uzma & Zakaria, Muhammad & Shafique, Attayah & Ahmed, Junaid, 2018. "Thou should not panic! Let calmness fight the Crocodile Bite," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 302-315.
    33. Ho, Sin-Yu, 2017. "The Macroeconomic Determinants of Stock Market Development: Evidence from South Africa," MPRA Paper 76493, University Library of Munich, Germany.
    34. Michele Manna, 2011. "Home bias in interbank lending and banks� resolution regimes," Temi di discussione (Economic working papers) 816, Bank of Italy, Economic Research and International Relations Area.
    35. Yingchao Lin & Zhili Ma & Ke Zhao & Weiyan Hu & Jing Wei, 2018. "The Impact of Population Migration on Urban Housing Prices: Evidence from China’s Major Cities," Sustainability, MDPI, vol. 10(9), pages 1-14, September.
    36. Hussain, Shahzad & Akbar, Muhammad & Malik, Qaisar & Ahmad, Tanveer & Abbas, Nasir, 2021. "Downside Systematic Risk in Pakistani Stock Market: Role of Corporate Governance, Financial Liberalization and Investor Sentiment," CAFE Working Papers 14, Centre for Accountancy, Finance and Economics (CAFE), Birmingham City Business School, Birmingham City University.
    37. Li-Jen Yeh & Hsien-Chang Kuo, 2021. "Board Capitals, R&D and Leverage Strategies on Financial Performance," Business and Economic Research, Macrothink Institute, vol. 11(2), pages 123-144, June.
    38. Mahmoud Al‐Akra & Ian Eddie & Muhammad Ali, 2010. "The association between privatisation and voluntary disclosure: Evidence from Jordan," Accounting and Business Research, Taylor & Francis Journals, vol. 40(1), pages 55-74.

  20. C. Hsiao & P. Chen, 2005. "The Transition Process in China: a Theoretical and Empirical Study," Computing in Economics and Finance 2005 210, Society for Computational Economics.

    Cited by:

    1. Pu Chen & Chih-Ying Hsiao, 2007. "The Transition Process In China: An Economic Development Perspective," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 32(2), pages 113-134, December.

  21. 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. 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).
    2. 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.
    3. 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.
    4. Selmi, Refk & Bouoiyour, Jamal & Miftah, Amal, 2019. "China's “New normal”: Will China's growth slowdown derail the BRICS stock markets?," International Economics, Elsevier, vol. 159(C), pages 121-139.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Ibhagui, Oyakhilome, 2018. "Interrelations among cross-currency basis swap spreads: Pre-and post-crisis analysis," MPRA Paper 89024, University Library of Munich, Germany.
    11. Faruk, Balli & Syed Abul, Basher & Hassan, Ghassan & Hassan, Hajhoj, 2015. "An Analysis of Returns and Volatility Spillovers and their Determinants in Emerging Asian and Middle Eastern Countries," MPRA Paper 63847, University Library of Munich, Germany.
    12. Hsieh, Kunlin & Hsieh, Yuching & Hamori, Shigeyuki, 2010. "The interdependence of Taiwanese and Japanese stock prices," MPRA Paper 21475, University Library of Munich, Germany.
    13. 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.
    14. 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.
    15. 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.
    16. Prashant Joshi, 2011. "Return and Volatility Spillovers Among Asian Stock Markets," SAGE Open, , vol. 1(1), pages 21582440114, June.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Shailesh Rastogi, 2013. "Long-term Association of Stock Markets of Different Nations: An Empirical Study," Vision, , vol. 17(4), pages 303-313, December.
    22. Guidi, Francesco & Gupta, Rakesh, 2010. "Cointegration and conditional correlations among German and Eastern Europe equity markets," MPRA Paper 21732, University Library of Munich, Germany.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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).
    29. Francisca Pérez, 2013. "Are International Market Linkages Stronger? Comparison between 1990s and 2000s," Working Papers Central Bank of Chile 687, Central Bank of Chile.
    30. 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.
    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.

  22. Hsiao, Cheng & Pesaran, M. Hashem, 2004. "Random Coefficient Panel Data Models," IZA Discussion Papers 1236, Institute of Labor Economics (IZA).

    Cited by:

    1. Gerdie Everaert, 2017. "On the estimation of panel fiscal reaction functions : Heterogeneity or fiscal fatigue?," Working Paper Research 320, National Bank of Belgium.
    2. Fabian Dunker & Konstantin Eckle & Katharina Proksch & Johannes Schmidt-Hieber, 2017. "Tests for qualitative features in the random coefficients model," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 225, Courant Research Centre PEG.
    3. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters, in: The Risks of Financial Institutions, pages 419-469, National Bureau of Economic Research, Inc.
    4. Anne-Laure Delatte & Julien Fouquau, 2011. "The determinants of International Reserves in the Emerging countries: a non linear approach," Post-Print hal-00822326, HAL.
    5. di Giovanni, Julian & Shambaugh, Jay C., 2008. "The impact of foreign interest rates on the economy: The role of the exchange rate regime," Journal of International Economics, Elsevier, vol. 74(2), pages 341-361, March.
    6. Abhradeep Maiti & Debarshi Indra, 2016. "Regional Variations In Labor Demand Elasticity: Evidence From U.S. Counties," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 635-658, September.
    7. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
    8. Yuya Sasaki & Yulong Wang, 2022. "Fixed-k Inference for Conditional Extremal Quantiles," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 829-837, April.
    9. Imbs, Jean & Jondeau, Eric & Pelgrin, Florian, 2007. "Aggregating Phillips curves," Working Paper Series 785, European Central Bank.
    10. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
    11. Youssef, Ahmed H. & Abonazel, Mohamed R., 2009. "A Comparative Study for Estimation Parameters in Panel Data Model," MPRA Paper 49713, University Library of Munich, Germany.
    12. Lin Chang-Ching & Ng Serena, 2012. "Estimation of Panel Data Models with Parameter Heterogeneity when Group Membership is Unknown," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 1-14, August.
    13. Sebastien Lechevalier & Cyrille Dossougoin & Christophe Hurlin & Satoko Takaoka, 2014. "How did the Japanese Employment System Change?Investigating the Heterogeneity of Downsizing Practices across Firms," KIER Working Papers 883, Kyoto University, Institute of Economic Research.
    14. Dr Michela Vecchi, 2005. "Does Labour Productivity Flow Across Industries?: Estimation Robust to Panel Heterogeneity and Cross Sectional Correlation," National Institute of Economic and Social Research (NIESR) Discussion Papers 256, National Institute of Economic and Social Research.
    15. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    16. Juarez, Miguel A. & Steel, Mark F. J., 2006. "Non-Gaussian dynamic Bayesian modelling for panel data," MPRA Paper 450, University Library of Munich, Germany.
    17. Markus Knell & Alfred Stiglbauer, 2009. "The Impact of Reference Norms on Inflation Persistence When Wages are Staggered," Working Papers 153, Oesterreichische Nationalbank (Austrian Central Bank).
    18. Dorn, Sabrina & Egger, Peter, 2012. "On the Distribution of Exchange Rate Regime Treatment Effects on International Trade," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62054, Verein für Socialpolitik / German Economic Association.
    19. Giovanni Compiani & Yuichi Kitamura, 2016. "Using mixtures in econometric models: a brief review and some new results," Econometrics Journal, Royal Economic Society, vol. 19(3), pages 95-127, October.
    20. Felipe Zurita, 2008. "La Predicción de la Insolvencia de Empresas Chilenas," Documentos de Trabajo 336, Instituto de Economia. Pontificia Universidad Católica de Chile..
    21. Maiti, Abhradeep & Indra, Debarshi, 2014. "Regional Variations in Labor Demand Elasticities: Evidence from U.S. Counties," MPRA Paper 57544, University Library of Munich, Germany.
    22. Nadia Belhaj Hassine, 2008. "Technology Diffusion, International Spillovers and Human Capital in the Mediterranean Agricultural Sector," Working Papers 405, Economic Research Forum, revised 06 Jan 2008.
    23. Mousa, Amani & Youssef, Ahmed H. & Abonazel, Mohamed R., 2011. "A Monte Carlo Study for Swamy’s Estimate of Random Coefficient Panel Data Model," MPRA Paper 49768, University Library of Munich, Germany.
    24. Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Papers 2305.19921, arXiv.org.
    25. Tondl, Gabriele & Prüfer, Patricia, 2007. "Does it Make a Difference? Comparing Growth Effects of European and North American FDI in Latin America," Proceedings of the German Development Economics Conference, Göttingen 2007 26, Verein für Socialpolitik, Research Committee Development Economics.
    26. Julien Fouquau & Christophe Hurlin & Isabelle Rabaud, 2007. "The Feldstein-Horioka Puzzle: a Panel SmoothTransition Regression Approach," Working Papers halshs-00156688, HAL.
    27. Lai, Jennifer T. & McNelis, Paul D. & Yan, Isabel K.M., 2013. "Regional capital mobility in China: Economic reform with limited financial integration," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 493-503.
    28. Dorina Lazăr & Alexandru Minea & Alexandra-Anca Purcel, 2019. "Pollution and economic growth: Evidence from Central and Eastern European countries," Post-Print hal-03182346, HAL.
    29. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    30. Felipe Zurita L., 2008. "Bankruptcy Prediction for Chilean Companies," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 11(1), pages 93-116, April.
    31. Rafal Raciborski, 2008. "Searching for additional sources of inflation persistence : the micro-price panel data approach," Working Paper Research 132, National Bank of Belgium.
    32. Widman, Marit & Elofsson, Katarina, 2018. "Costs of Livestock Depredation by Large Carnivores in Sweden 2001 to 2013," Ecological Economics, Elsevier, vol. 143(C), pages 188-198.
    33. M. Hashem Pesaran & Takashi Yamagata, 2005. "Testing Slope Homogeneity in Large Panels," CESifo Working Paper Series 1438, CESifo.
    34. Davis, Lewis & Owen, Ann L. & Videras, Julio, 2007. "Do all countries follow the same growth process?," MPRA Paper 11589, University Library of Munich, Germany, revised Sep 2008.
    35. Semanur SoyyiÄŸit, 2019. "The Relationship Between Middle Income Trap and Structural Transformation: The Case of Selected Countries," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(4), pages 217-235, December.
    36. Soyyiğit Semanur & Michalski Bartosz, 2022. "The Economic Complexity of the Visegrád Countries and the Role of Trade with Germany," Central European Economic Journal, Sciendo, vol. 9(56), pages 219-236, January.
    37. Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
    38. Łukasz Goczek & Dagmara Mycielska, 2014. "Monetary policy and nominal convergence in CEE countries with inflation targeting," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 38.
    39. Haas, Anette & Möller, Joachim, 2001. "Qualifizierungstrends und regionale Disparitäten : eine Untersuchung auf Grundlage der IAB-Regionalstichprobe aus der Beschäftigtenstatistik (Training trends and regional disparities : a study with th," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 34(2), pages 139-151.
    40. 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.
    41. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    42. Martin Falk & Mariya Hake, 2008. "Wachstumswirkungen der Forschungsausgaben," WIFO Studies, WIFO, number 34120, April.
    43. Markus Knell & Alfred Stiglbauer, 2012. "Reference Norms, Staggered Wages, And Wage Leadership: Theoretical Implications And Empirical Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(2), pages 569-592, May.

  23. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2004. "Aggregate vs Disaggregate Data Analysis — A Paradox in the Estimation of a Money Demand Function of Japan Under the Low Interest Rate Policy," IEPR Working Papers 04.1, Institute of Economic Policy Research (IEPR).

    Cited by:

    1. Trapani, Lorenzo & Urga, Giovanni, 2010. "Micro versus macro cointegration in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 155(1), pages 1-18, March.
    2. Cheng Hsiao, 2016. "Panel Macroeconometric Modeling," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    3. Hashem M. Pesaran & Alexander Chudik, 2011. "Aggregation in Large Dynamic Panels," CESifo Working Paper Series 3346, CESifo.
    4. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).
    5. Kausik Chaudhuri & Payel Chowdhury & Subal Kumbhakar, 2015. "Crime in India: specification and estimation of violent crime index," Journal of Productivity Analysis, Springer, vol. 43(1), pages 13-28, February.
    6. Hiroshi Fujiki, 2013. "Japanese Money Demand from the Regional Data: An Update and Some Additional Results," IMES Discussion Paper Series 13-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
    7. Markus Eberhardt & Francis Teal, 2010. "Aggregation versus Heterogeneity in Cross-Country Growth Empirics," CSAE Working Paper Series 2010-32, Centre for the Study of African Economies, University of Oxford.
    8. Sarah Moon, 2024. "Partial Identification of Individual-Level Parameters Using Aggregate Data in a Nonparametric Binary Outcome Model," Papers 2403.07236, arXiv.org, revised Apr 2024.
    9. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    10. Azeem, Muhammad Masood & Mugera, Amin W. & Schilizzi, Steven, 2016. "Poverty and vulnerability in the Punjab, Pakistan: A multilevel analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 57-72.
    11. WAN, Shui-Ki & WANG, Shin-Huei & WOO, Chi-Keung, 2012. "Total tourist arrival forecast: aggregation vs. disaggregation," LIDAM Discussion Papers CORE 2012039, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.
    13. Jun Nagayasu, 2012. "Financial innovation and regional money," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4617-4629, December.
    14. Rostom,Ahmed Mohamed Tawfick, 2016. "Money demand in the Arab Republic of Egypt : a vector equilibrium correction model," Policy Research Working Paper Series 7679, The World Bank.
    15. Cheng Hsiao, 2005. "Longitudinal Data Analysis," Economic Growth Centre Working Paper Series 0510, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    16. Jia, Junxue & Guo, Qingwang & Zhang, Jing, 2014. "Fiscal decentralization and local expenditure policy in China," China Economic Review, Elsevier, vol. 28(C), pages 107-122.
    17. Nora A. Mothafar & Jingxiao Zhang & Ibrahim Al-Maqrami, 2022. "The Evolution of Human Development Through the Eyes of ICT in Developing Countries Based on Panel Data from 2007 to 2017," Indian Journal of Human Development, , vol. 16(3), pages 578-601, December.
    18. Barry Abrams & Santharajah Kumaradevan & Vasilis Sarafidis & Frank Spaninks, 2012. "An Econometric Assessment of Pricing Sydney’s Residential Water Use," The Economic Record, The Economic Society of Australia, vol. 88(280), pages 89-105, March.
    19. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from Public Opinion Survey on Household Financial Assets and Liabilities," IMES Discussion Paper Series 08-E-17, Institute for Monetary and Economic Studies, Bank of Japan.
    20. Qurat ul Ain & Tahir Yousaf & Yan Jie & Yasmeen Akhtar, 2020. "The Impact of Devolution on Government Size and Provision of Social Services: Evi¬dence from Pakistan," Hacienda Pública Española / Review of Public Economics, IEF, vol. 234(3), pages 105-135, September.
    21. Giacomo Sbrana, 2007. "Testing for Model Selection in Predicting Aggregate Variables," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(1), pages 3-28, March.
    22. Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
    23. A. Talha Yalta & Hatice Cakar, 2012. "Energy Consumption and Economic Growth in China: A Reconciliation," Working Papers 1202, TOBB University of Economics and Technology, Department of Economics.
    24. Stefano Fachin & Andrea Gavosto, 2010. "Trends of labour productivity in Italy: a study with panel co‐integration methods," International Journal of Manpower, Emerald Group Publishing Limited, vol. 31(7), pages 755-769, October.
    25. Helmut Herwartz & Jordi Sardà & Bernd Theilen, 2016. "Money demand and the shadow economy: empirical evidence from OECD countries," Empirical Economics, Springer, vol. 50(4), pages 1627-1645, June.

  24. Michael Binder & Cheng Hsiao & Jan Mutl & M. Hashem Pesaran, 2002. "Computational Issues in the Estimation of Higher-Order Panel Vector Autoregressions," Computing in Economics and Finance 2002 345, Society for Computational Economics.

    Cited by:

    1. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.
    2. Mutl, Jan, 2009. "Panel VAR Models with Spatial Dependence," Economics Series 237, Institute for Advanced Studies.

  25. Michael Binder & Cheng Hsiao & M. Hashem Pesaran, 2000. "Estimation and Inference In Short Panel Vector Autoregressions with Unit Roots And Cointegration," CESifo Working Paper Series 374, CESifo.

    Cited by:

    1. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Pedro Mendi & Nadia Ayari & Szabolcs Blazsek, 2011. "Renewable energy innovations in Europe: A dynamic panel data approach," Post-Print hal-00711448, HAL.
    3. Sekkat, Khalid, 2016. "Exchange rate misalignment and export diversification in developing countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 1-14.
    4. François Bourguignon & Pierre-Emmanuel Darpeix, 2016. "Air traffic and economic growth: the case of developing countries," PSE Working Papers halshs-01305412, HAL.
    5. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    6. Ca' Zorzi, Michele & Dieppe, Alistair & Chudik, Alexander, 2009. "Current account benchmarks for central and eastern Europe: a desperate search?," Working Paper Series 995, European Central Bank.
    7. Michele Ca' Zorzi & Alistair Dieppe & Alex Chudik, 2011. "Thousands of Models, One Story: Current Account Imbalances in the Global Economy," EcoMod2011 3184, EcoMod.
    8. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    9. Cheng Hsiao, 2016. "Panel Macroeconometric Modeling," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    10. Giovanni Peri, 2004. "Catching-Up to Foreign Technology? Evidence on the "Veblen-Gerschenkron" Effect of Foreign Investments," NBER Working Papers 10893, National Bureau of Economic Research, Inc.
    11. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
    12. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).
    13. Alex Coad, 2007. "Exploring the "mechanics" of firm growth: evidence from a short-panel VAR," Post-Print halshs-00175048, HAL.
    14. Lee, Grace H.Y. & Azali, M., 2010. "The endogeneity of the Optimum Currency Area criteria in East Asia," Economic Modelling, Elsevier, vol. 27(1), pages 165-170, January.
    15. G. Urga & P. A. Geroski & S. Lazarova & C. F. Walters, 2003. "Are differences in firm size transitory or permanent?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 47-59.
    16. Mengmeng Hu & Yafei Wang & Beicheng Xia & Guohe Huang, 2023. "What is the relationship between energy consumption and economic development? New evidence from a rapidly growing economic development region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3601-3626, April.
    17. Robert F. Phillips, 2022. "Forward Orthogonal Deviations GMM and the Absence of Large Sample Bias," Papers 2212.14075, arXiv.org.
    18. Angeliki ANAGNOSTOU & Stephanos PAPADAMOU, 2014. "The Impact Of Monetary Shocks On Regional Output: Evidence From Four South Eurozone Countries," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 105-130.
    19. Canova, Fabio & Ciccarelli, Matteo, 2003. "Panel Index VAR Models: Specification, Estimation, Testing and Leading Indicators," CEPR Discussion Papers 4033, C.E.P.R. Discussion Papers.
    20. Hsiao, Cheng & Hashem Pesaran, M. & Kamil Tahmiscioglu, A., 2002. "Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods," Journal of Econometrics, Elsevier, vol. 109(1), pages 107-150, July.
    21. Mutl, Jan, 2009. "Consistent Estimation of Global VAR Models," Economics Series 234, Institute for Advanced Studies.
    22. Urban, Dieter M & Weder di Mauro, Beatrice & Moser, Christoph, 2008. "International Competitiveness, Job Creation and Job Destruction - An Establishment Level Study of German Job Flows," CEPR Discussion Papers 6745, C.E.P.R. Discussion Papers.
    23. Manthos D. Delis & K. Christos Staikouras & Panagiotis T. Varlagas, 2008. "On the Measurement of Market Power in the Banking Industry," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 1023-1047, September.
    24. Hulya Ulku, 2007. "R&D, innovation, and growth: evidence from four manufacturing sectors in OECD countries," Oxford Economic Papers, Oxford University Press, vol. 59(3), pages 513-535, July.
    25. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    26. Kazuhiko Hayakawa & M. Hashem Pesaran & L. Vanessa Smith, 2023. "Short T dynamic panel data models with individual, time and interactive effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 940-967, September.
    27. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
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    30. Kazuhiko Hayakawa & M. Hashem Pesaran, 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Data Models," Working Paper series 38_12, Rimini Centre for Economic Analysis.
    31. Pillinger, Rebecca & Steele, Fiona & Leckie, George & Jenkins, Jennifer, 2023. "A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses," LSE Research Online Documents on Economics 119988, London School of Economics and Political Science, LSE Library.
    32. Po-Chin Wu & Shiao-Yen Liu & Ming-Fang Yang, 2017. "Nonlinear Exchange Rate Pass-Through: The Role of National Debt," Global Economic Review, Taylor & Francis Journals, vol. 46(1), pages 1-17, January.
    33. Binder, Michael & Bluhm, Marcel, 2014. "On the Conditional Effects of IMF Loan Program Participation on Output Growth," IMFS Working Paper Series 78, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    34. Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank.
    35. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
    36. Alfonso Carfora & Renato Passaro & Giuseppe Scandurra & Antonio Thomas, 2022. "The Casual Nexus between Income and Energy Poverty in EU Member States," Energies, MDPI, vol. 15(8), pages 1-16, April.
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    38. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    39. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    40. Alex Coad, 2007. "A Closer Look at Serial Growth Rate Correlation," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 31(1), pages 69-82, August.
    41. Franz R. Hahn, 2015. "The Empirics of Balance Sheet Mechanics. Capital and Leverage in Small-scale Banking," WIFO Working Papers 498, WIFO.
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    43. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    44. Periklis Boumparis & Costas Milas & Theodore Panagiotidis, 2019. "Non-performing loans and sovereign credit ratings," Working Paper series 19-13, Rimini Centre for Economic Analysis.
    45. Antonio Pesce, 2013. "Is Decoupling in action?," ERSA conference papers ersa13p1252, European Regional Science Association.
    46. Zhenlin Yang, 2014. "Initial-Condition Free Estimation of Fixed Effects Dynamic Panel Data Models," Working Papers 16-2014, Singapore Management University, School of Economics.
    47. Chen, Chien-Ming & van Dalen, Jan, 2010. "Measuring dynamic efficiency: Theories and an integrated methodology," European Journal of Operational Research, Elsevier, vol. 203(3), pages 749-760, June.
    48. Agoraki, Maria-Eleni & Delis, Manthos D & Pasiouras, Fotios, 2009. "Regulations, competition and bank risk-taking in transition countries," MPRA Paper 16495, University Library of Munich, Germany.
    49. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
    50. Fabio Canova & Matteo Ciccarelli & Eva Ortega, 2003. "Similarities and convergence in G-7 cycles," Economics Working Papers 924, Department of Economics and Business, Universitat Pompeu Fabra, revised Aug 2004.
    51. Marc Suhrcke & Dieter M. Urban, 2006. "Are Cardiovascular Diseases Bad for Economic Growth?," CESifo Working Paper Series 1845, CESifo.
    52. Matheus Koengkan & José Alberto Fuinhas, 2022. "The Interactions Between Renewable Energy Consumption, Economic Growth, and Globalisation: Fresh Evidence from the Mercosur Countries," Springer Books, in: Globalisation and Energy Transition in Latin America and the Caribbean, chapter 0, pages 63-99, Springer.
    53. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    54. Stauskas, Ovidijus, 2019. "On the Limit Theory of Mixed to Unity VARs: Panel Setting With Weakly Dependent Errors," Working Papers 2019:2, Lund University, Department of Economics.
    55. Ericsson, Jan & Huang, Xiao & Mazzotta, Stefano, 2016. "Leverage and asymmetric volatility: The firm-level evidence," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 1-21.
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    57. Oyebola Fatima Etudaiye-Muhtar & Rubi Ahmad & Taiwo Azeez Olaniyi & Bilqees Ayoola Abdulmumin, 2017. "Financial Market Development and Bank Capitalization Ratio," Paradigm, , vol. 21(2), pages 126-138, December.
    58. Sophocles N. Brissimis & Matthaios D. Delis, 2007. "Identification of a Loan Supply Function: A Cross-Country Test for the Existence of a Bank Lending Channel," Working Papers 54, Bank of Greece.
    59. Lubos Komarek & Kristyna Ters, 2016. "Intraday dynamics of euro area sovereign credit risk contagion," BIS Working Papers 573, Bank for International Settlements.
    60. Magrini, Emiliano & Balié, Jean & Morales Opazo, Cristian, 2016. "Price signals and supply responses for staple food crops in SSA countries," DARE Discussion Papers 1601, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    61. Alessandra Colombelli & Francesco Quatraro, 2013. "The persistence of firms' knowledge base: A quantile approach to Italian data," Working Papers hal-00867132, HAL.
    62. Jan Mutl & Leopold Sögner, 2019. "Parameter estimation and inference with spatial lags and cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 597-635, July.
    63. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    64. Su, Liangjun & Yang, Zhenlin, 2015. "QML estimation of dynamic panel data models with spatial errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 230-258.
    65. Po-Chin Wu & Shiao-Yen Liu & Tsai-Yuan Huang, 2017. "Non-linear Growth-Determinants Nexus: The Role of Sovereign Debt," Hacienda Pública Española / Review of Public Economics, IEF, vol. 222(3), pages 43-63, September.
    66. Stelios Karagiannis & Yannis Panagopoulos & Aristotelis Spiliotis, 2011. "The Basel II Influence on the Money Supply Process: A Comparative Analysis of the Eurozone and the United States," Chapters, in: Claude Gnos & Louis-Philippe Rochon (ed.), Credit, Money and Macroeconomic Policy, chapter 9, Edward Elgar Publishing.
    67. Richard G. Anderson & Hailong Qian & Robert H. Rasche, 2006. "Analysis of panel vector error correction models using maximum likelihood, the bootstrap, and canonical-correlation estimators," Working Papers 2006-050, Federal Reserve Bank of St. Louis.
    68. Arvid Raknerud, 2001. "A State Space Approach for Estimating VAR Models for Panel Data with Latent Dynamic Components," Discussion Papers 295, Statistics Norway, Research Department.
    69. Michael Binder & Marcel Bluhm, 2010. "On the Conditional Effects of IMF Program Participation on Output Growth," CESifo Working Paper Series 3161, CESifo.
    70. Alexander Chudik & Vanessa Smith, 2013. "The GVAR approach and the dominance of the U.S. economy," Globalization Institute Working Papers 136, Federal Reserve Bank of Dallas.
    71. A. Ford Ramsey & Barry Goodwin & Mildred Haley, 2021. "Labor Dynamics and Supply Chain Disruption in Food Manufacturing," NBER Working Papers 28896, National Bureau of Economic Research, Inc.
    72. Sven Wardenburg & Thomas Brenner, 2021. "Analysing the spatio-temporal diffusion of economic change - advanced statistical approach and exemplary application," Working Papers on Innovation and Space 2021-01, Philipps University Marburg, Department of Geography.
    73. Li, Huijuan & Cai, Weihong & Li, Wenxiu, 2021. "Does global value chains participation improve skill premium? Mediating role of skill-biased technological change," Economic Modelling, Elsevier, vol. 99(C).
    74. Alexandra Fratila (Adam) & Ioana Andrada Gavril (Moldovan) & Sorin Cristian Nita & Andrei Hrebenciuc, 2021. "The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
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    76. Delis, Manthos D & Staikouras, Panagiotis, 2009. "On-site audits, sanctions, and bank risk-taking: An empirical overture towards a novel regulatory and supervisory philosophy," MPRA Paper 16836, University Library of Munich, Germany.
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    78. Koengkan, Matheus, 2018. "The positive impact of trade openness on consumption of energy: Fresh evidence from Andean community countries," Energy, Elsevier, vol. 158(C), pages 936-943.
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    80. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2018. "Gibrat’s law and quantile regressions: An application to firm growth," Economics Letters, Elsevier, vol. 164(C), pages 5-9.
    81. Reade, J. James & Volz, Ulrich, 2011. "Leader of the pack? German monetary dominance in Europe prior to EMU," Economic Modelling, Elsevier, vol. 28(1-2), pages 239-250, January.
    82. Mr. Abdoul A Wane, 2004. "Growth and Convergence in WAEMU Countries," IMF Working Papers 2004/198, International Monetary Fund.
    83. Alex Coad & Rekha Rao & Federico Tamagni, 2008. "Growth Processes of Italian Manufacturing Firms," Jena Economics Research Papers 2008-039, Friedrich-Schiller-University Jena.
    84. Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," MPRA Paper 102992, University Library of Munich, Germany.
    85. Chupryhin, Radzivon, 2021. "Determinants of Foreign Direct Investment in Europe: Bayesian Model Averaging in the Presence of Weak Exogeneity," MPRA Paper 107197, University Library of Munich, Germany.
    86. Allen Head & Huw Lloyd-Ellis & Hongfei Sun, 2014. "Search, Liquidity, and the Dynamics of House Prices and Construction," American Economic Review, American Economic Association, vol. 104(4), pages 1172-1210, April.
    87. Alexander Coad & Rekha Rao, 2007. "Firm Growth and R&D Expenditure," Papers on Economics and Evolution 2007-10, Philipps University Marburg, Department of Geography.
    88. Carlos Medina & Christian M. Posso & Jorge A. Tamayo & Emma Monsalve, 2012. "Dinámica de la Demanda Laboral en la Industria Manufacturera Colombiana 1993-2009: una Estimación Panel VAR," Borradores de Economia 694, Banco de la Republica de Colombia.
    89. Epaphra, Manamba & Amin, Jennifer, 2022. "The relationship between Trade Liberalization, Growth and Balance of Payments in Sub-Saharan Africa: Insights from Dynamic Panel Data Analysis," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    90. Blazsek, Szabolcs & Escribano, Alvaro, 2016. "Patent propensity, R&D and market competition: Dynamic spillovers of innovation leaders and followers," Journal of Econometrics, Elsevier, vol. 191(1), pages 145-163.
    91. Gilhooly, Robert & Weale, Martin & Wieladek, Tomasz, 2015. "Estimation of short dynamic panels in the presence of cross-sectional dependence and dynamic eterogeneity," Discussion Papers 38, Monetary Policy Committee Unit, Bank of England.
    92. Stuart McLeay & Maxwell Stevenson, 2006. "Modelling the Longitudinal Properties of Financial Ratios of European Firms," The Institute for International Integration Studies Discussion Paper Series iiisdp184, IIIS.
    93. Yan Shen & Yang Yao, 2006. "Grassroots Democracy and Income Distribution : Evidence from Village Elections in China," Governance Working Papers 21901, East Asian Bureau of Economic Research.
    94. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    95. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.
    96. Alexander Coad, 2007. "Disentangling the firm growth process: evidence from a recursive panel VAR," Papers on Economics and Evolution 2007-15, Philipps University Marburg, Department of Geography.
    97. Zhang, Mingli & Zhang, Yan & Zhao, Lu & Li, Xiaoyong, 2020. "What drives online course sales? Signaling effects of user-generated information in the paid knowledge market," Journal of Business Research, Elsevier, vol. 118(C), pages 389-397.
    98. Kruiniger, Hugo, 2008. "Maximum likelihood estimation and inference methods for the covariance stationary panel AR(1)/unit root model," Journal of Econometrics, Elsevier, vol. 144(2), pages 447-464, June.
    99. Mutl, Jan, 2009. "Panel VAR Models with Spatial Dependence," Economics Series 237, Institute for Advanced Studies.
    100. Yiannis Karavias & Elias Tzavalis, 2012. "Generalized fixed-T panel unit root tests allowing for structural breaks," Discussion Papers 12/02, University of Nottingham, Granger Centre for Time Series Econometrics.
    101. Moscone, Francesco & Tosetti, Elisa & Canepa, Alessandra, 2014. "Real estate market and financial stability in US metropolitan areas: A dynamic model with spatial effects," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 129-146.
    102. Allen Head & Huw Lloyd-Ellis & Hongfei Sun, 2016. "Search, Liquidity, and the Dynamics of House Prices and Construction: Corrigendum," American Economic Review, American Economic Association, vol. 106(4), pages 1214-1219, April.
    103. Hayakawa, K. & Pesaran, M.H., 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Models," Cambridge Working Papers in Economics 1224, Faculty of Economics, University of Cambridge.
    104. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    105. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
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    109. Kazuhiko Hayakawa & Vanessa Smith & M. Hashem Pesaran, 2014. "Transformed Maximum Likelihood Estimation of Short Dynamic Panel Data Models with interactive effects," Cambridge Working Papers in Economics 1412, Faculty of Economics, University of Cambridge.
    110. Björn Alecke & Timo Mitze & Gerhard Untiedt, 2010. "Internal migration, regional labour market dynamics and implications for German East-West disparities: results from a Panel VAR," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 30(2), pages 159-189, September.
    111. Matheus Koengkan & Luciano Dias Losekann & José Alberto Fuinhas, 2019. "The relationship between economic growth, consumption of energy, and environmental degradation: renewed evidence from Andean community nations," Environment Systems and Decisions, Springer, vol. 39(1), pages 95-107, March.
    112. Antonia Díaz & Gustavo A. Marrero & Luis Puch & Jesús Rodríguez-López, 2018. "A Note on Growth, Energy Intensity and the Energy Mix: A Dynamic Panel Data Analysis," Working Papers 18.08, Universidad Pablo de Olavide, Department of Economics.
    113. Mr. Stefan W. Schmitz & Michael Sigmund & Ms. Laura Valderrama, 2017. "Bank Solvency and Funding Cost: New Data and New Results," IMF Working Papers 2017/116, International Monetary Fund.
    114. Cao, Bolong & Sun, Yixiao, 2011. "Asymptotic distributions of impulse response functions in short panel vector autoregressions," Journal of Econometrics, Elsevier, vol. 163(2), pages 127-143, August.
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    121. Matthias Deschryvere, 2014. "R&D, firm growth and the role of innovation persistence: an analysis of Finnish SMEs and large firms," Small Business Economics, Springer, vol. 43(4), pages 767-785, December.
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    123. Diego Escobari, 2012. "Dynamic Pricing, Advance Sales and Aggregate Demand Learning in Airlines," Journal of Industrial Economics, Wiley Blackwell, vol. 60(4), pages 697-724, December.
    124. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
    125. Nerantzidis, Michail & Tzeremes, Panayiotis & Koutoupis, Andreas & Pourgias, Apostolos, 2022. "Exploring the black box: Board gender diversity and corporate social performance," Finance Research Letters, Elsevier, vol. 48(C).
    126. Georgoutsos, Dimitris & Moratis, George, 2017. "Bank-sovereign contagion in the Eurozone: A panel VAR Approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 146-159.
    127. Miyaki, Miki & Kimura, Masaki, 2018. "Do the Elderly Support Public Educational Expenditure? An Empirical Analysis Focusing on the Characteristics of Spending," MPRA Paper 89225, University Library of Munich, Germany.
    128. Ozcan, Burcu & Tzeremes, Panayiotis G. & Tzeremes, Nickolaos G., 2020. "Energy consumption, economic growth and environmental degradation in OECD countries," Economic Modelling, Elsevier, vol. 84(C), pages 203-213.
    129. Timo MITZE & Björn ALECKE & Gerhard UNTIEDT, 2008. "Determinants of Interregional Migration Among German States and its Implications for Reducing East-West Disparities: Results from a Panel VAR Using Efficient GMM Estimation," EcoMod2008 23800089, EcoMod.
    130. Shen, Yan & Yao, Yang, 2008. "Does grassroots democracy reduce income inequality in China?," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2182-2198, October.
    131. Schwarz, Claudia & Kripfganz, Sebastian, 2015. "Estimation of linear dynamic panel data models with time-invariant regressors," Working Paper Series 1838, European Central Bank.
    132. Ivanovski, Kris & Hailemariam, Abebe, 2022. "Time-varying geopolitical risk and oil prices," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 206-221.
    133. Eaton, Derek J.F., 2009. "Trade and Intellectual Property Rights in the Agricultural Seed Sector," 2009 Conference, August 16-22, 2009, Beijing, China 51782, International Association of Agricultural Economists.
    134. Hayakawa, Kazuhiko, 2016. "Improved GMM estimation of panel VAR models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 240-264.
    135. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    136. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    137. Hsiao, Cheng & Zhou, Qiankun, 2015. "Statistical inference for panel dynamic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 189(2), pages 383-396.
    138. Muhammad Mahmood Shah Khan & Farrukh Ijaz & Ejaz Aslam, 2014. "Determinants of Profitability of Islamic Banking Industry: An Evidence from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 6(2), pages 27-46, October.
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    144. Díaz, Antonia & Marrero, Gustavo & Puch, Luis A. & Rodríguez, Jesús, 2019. "Economic Growth, Energy Intensity and the Energy Mix," UC3M Working papers. Economics 28461, Universidad Carlos III de Madrid. Departamento de Economía.
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    148. Blazsek, Szabolcs & Escribano, Álvaro, 2012. "Patents, secret innovations and firm's rate of return : differential effects of the innovation leader," UC3M Working papers. Economics we1202, Universidad Carlos III de Madrid. Departamento de Economía.
    149. Aristophane Djeufack Dongmo & Paloma Mbengono Coralie & Manuela Chetue Komguep & Ulrich Kembeng Tchinda, 2023. "Urbanization, informal economy, economic growth and CO2 emissions in African countries: a panel vector autoregression (PVAR) model approach," Journal of Bioeconomics, Springer, vol. 25(1), pages 35-63, April.
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    151. Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
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    157. Christos Kollias & Panayiotis Tzeremes, 2022. "Militarization, investment, and economic growth 1995–2019," Economics of Peace and Security Journal, EPS Publishing, vol. 17(1), pages 17-29, April.
    158. Alam, Ashraful & Uddin, Moshfique & Yazdifar, Hassan, 2019. "Institutional determinants of R&D investment: Evidence from emerging markets," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 34-44.
    159. Denitsa Angelova & Jan Käbel, 2019. "Weather Volatility and Production Efficiency," Sustainability, MDPI, vol. 11(24), pages 1-12, December.
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    161. Glenn Hoggarth & Hui Tong, 2007. "The impact of yuan revaluation on the Asian region," Bank of England working papers 329, Bank of England.
    162. Wu, Po-Chin & Liu, Shiao-Yen & Hsiao, Juei-Ming & Huang, Tsai-Yuan, 2016. "Nonlinear and time-varying growth-tourism causality," Annals of Tourism Research, Elsevier, vol. 59(C), pages 45-59.
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    164. Huang, Yin-Siang & Chuang, Hui-Ching & Hasan, Iftekhar & Lin, Chih-Yung, 2021. "The effect of language on investing: Evidence from searches in Chinese versus English," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
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    1. Mazhar Mahmood & Kashif ur Rehman, 2017. "Did Financial Integration Provide Financial Depth to ASEAN Countries?," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(1), pages 89-102, March.
    2. Canova, Fabio & Ciccarelli, Matteo, 2001. "Forecasting and Turning Point Predictions in a Bayesian Panel VAR Model," CEPR Discussion Papers 2961, C.E.P.R. Discussion Papers.
    3. Nicos Christodoulakis & Vassilis Sarantides, 2011. "External asymmetries in the euro area and the role of foreign direct investment," Working Papers 132, Bank of Greece.
    4. Martín-Mayoral, Fernando, 2008. "¿Existe convergencia entre los países de América Latina? [Exist convergence across Latinamerican countries]," MPRA Paper 16039, University Library of Munich, Germany.
    5. Matteo Ciccarelli & Fabio Canova, 2006. "Estimating Multi-country VAR models," Computing in Economics and Finance 2006 478, Society for Computational Economics.
    6. Brücker, Herbert & Siliverstovs, Boriss, 2005. "On the Estimation and Forecasting of International Migration: How Relevant Is Heterogeneity Across Countries?," IZA Discussion Papers 1710, Institute of Labor Economics (IZA).
    7. Norman Gemmell & Richard Kneller, 2003. "Fiscal Policy, Growth and Convergence in Europe," Treasury Working Paper Series 03/14, New Zealand Treasury.
    8. Andrew Hallett & Gert Peersman & Laura Piscitelli, 2004. "Investment Under Monetary Uncertainty: A Panel Data Investigation," Economic Change and Restructuring, Springer, vol. 31(2), pages 137-162, June.
    9. Canova, Fabio & Ciccarelli, Matteo, 2003. "Panel Index VAR Models: Specification, Estimation, Testing and Leading Indicators," CEPR Discussion Papers 4033, C.E.P.R. Discussion Papers.
    10. Yongcheol Shin & Ron P Smith & Mohammad Hashem Pesaran, 1998. "Pooled Mean Group Estimation of Dynamic Heterogeneous Panels," Edinburgh School of Economics Discussion Paper Series 16, Edinburgh School of Economics, University of Edinburgh.
    11. Denis Tverskoi & Andrea Guido & Giulia Andrighetto & Angel Sánchez & Sergey Gavrilets, 2023. "Disentangling material, social, and cognitive determinants of human behavior and beliefs," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    12. Baltagi, Badi H., 2006. "Forecasting with panel data," Discussion Paper Series 1: Economic Studies 2006,25, Deutsche Bundesbank.
    13. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    14. Bellla, Gianni & Massidda, Carla & Etzo, Ivan, 2010. "A panel estimation of the relationship between income, electric power consumption and CO2 emissions," MPRA Paper 26077, University Library of Munich, Germany.
    15. Marek Jarocinski, 2006. "Responses to Monetary Policy Shocks in the East and the West of Europe: A Comparison," Working Papers 124, Oesterreichische Nationalbank (Austrian Central Bank).
    16. M. Hashem Pesaran, 2003. "Estimation and Inference in Large Heterogenous Panels with Cross Section Dependence," CESifo Working Paper Series 869, CESifo.
    17. Christiane Nickel & Andreas Tudyka, 2014. "Fiscal Stimulus in Times of High Debt: Reconsidering Multipliers and Twin Deficits," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1313-1344, October.
    18. Elena Cefis & Matteo Ciccarelli & Luigi Orsenigo, 2002. "From Gibrat’s legacy to Gibrat’s fallacy. A Bayesian approach to study the growth of firms," Working Papers (-2012) 0206, University of Bergamo, Department of Economics.
    19. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    20. Badi H. Baltagi & Georges Bresson & James M. Griffin & Alain Pirotte, 2003. "Homogeneous, heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption," Post-Print hal-04103127, HAL.
    21. Matteo Ciccarelli, 2001. "Testing Restrictions In Normal Data Models Using Gibbs Sampling," Working Papers. Serie AD 2001-17, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    22. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    23. Haque, N. U. & Pesaran, M. H. & Sharma, Sunil, 1999. "Neglected Heterogeneity and Dynamics in Cross-country Savings Regressions," Cambridge Working Papers in Economics 9904, Faculty of Economics, University of Cambridge.
    24. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    25. Elena Cefis & Matteo Ciccarelli, 2005. "Profit differentials and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(1-2), pages 43-61.
    26. Mr. Alessandro Rebucci, 2003. "On the Heterogeneity Bias of Pooled Estimators in Stationary VAR Specifications," IMF Working Papers 2003/073, International Monetary Fund.

  27. Hsiao, C. & Mountain, D.C. & Ho, C.F., 1994. "A Bayesian Integration of End-Use Metering and Conditional Demand Analysis," Papers 9411, Southern California - Department of Economics.

    Cited by:

    1. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).
    2. Shigeru Matsumoto, 2015. "Electric Appliance Ownership and Usage: Application of Conditional Demand Analysis to Japanese Household Data," Proceedings of International Academic Conferences 3105452, International Institute of Social and Economic Sciences.
    3. Ioannis Tsamourgelis & Persa Paflioti & Thomas Vitsounis, 2013. "Seaports Activity (A)synchronicity, Trade Intensity and Business Cycle Convergence: A Panel Data Analysis," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 67-92.
    4. Hanne Marit Dalen and Bodil M. Larsen, 2015. "Residential End-use Electricity Demand: Development over Time," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Mattias Vesterberg and Chandra Kiran B. Krishnamurthy, 2016. "Residential End-use Electricity Demand: Implications for Real Time Pricing in Sweden," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Jeong-Yeon Lee & Daniel G. Bachrach & Kyle Lewis, 2014. "Social Network Ties, Transactive Memory, and Performance in Groups," Organization Science, INFORMS, vol. 25(3), pages 951-967, June.
    7. Aydinalp-Koksal, Merih & Ugursal, V. Ismet, 2008. "Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector," Applied Energy, Elsevier, vol. 85(4), pages 271-296, April.
    8. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    9. Aydinalp, Merih & Ismet Ugursal, V. & Fung, Alan S., 2002. "Modeling of the appliance, lighting, and space-cooling energy consumptions in the residential sector using neural networks," Applied Energy, Elsevier, vol. 71(2), pages 87-110, February.
    10. Wadud, Mokhtarul & Ali Ahmed, Huson Joher & Tang, Xueli, 2020. "Factors affecting delinquency of household credit in the U.S.: Does consumer sentiment play a role?," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    11. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    12. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "Residential energy environmental Kuznets curve in the EU-28," Energy, Elsevier, vol. 125(C), pages 44-54.
    13. Frondel, Manuel & Sommer, Stephan & Vance, Colin, 2019. "Heterogeneity in German Residential Electricity Consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 131(C), pages 370-379.
    14. Rahman, Sanzidur & Anik, Asif Reza, 2020. "Productivity and efficiency impact of climate change and agroecology on Bangladesh agriculture," Land Use Policy, Elsevier, vol. 94(C).
    15. Rosa Aísa & Jesús Clemente & Fernando Pueyo, 2014. "The influence of (public) health expenditure on longevity," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(5), pages 867-875, October.
    16. Maya Papineau & Kareman Yassin & Guy Newsham & Sarah Brice, 2020. "Conditional demand analysis as a tool to evaluate energy policy options on the path to grid decarbonization," Carleton Economic Papers 20-21, Carleton University, Department of Economics.
    17. Teresa Garín-Muñoz & Teodosio Pérez-Amaral & Rafael López, 2020. "Consumer engagement in e-Tourism: Micro-panel data models for the case of Spain," Tourism Economics, , vol. 26(6), pages 853-872, September.
    18. SazanTaher Saeed & Dr. Hatem HatefAbdulkadhimAltaee, 2017. "Export and Economic Growth Nexus in the GCC Countries: A panel Data Approach," International Journal of Business and Social Research, LAR Center Press, vol. 7(12), pages 1-9, December.
    19. Yu, Dongwei & Tan, Hongwei & Ruan, Yingjun, 2012. "An improved two-step floating catchment area method for supporting district building energy planning: A case study of Yongding County city, China," Applied Energy, Elsevier, vol. 95(C), pages 156-163.
    20. Hanne Marit Dalen & Bodil M. Larsen, 2013. "Residential end-use electricity demand. Development over time," Discussion Papers 736, Statistics Norway, Research Department.
    21. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    22. Minyoung Jo & Sangyeol Lee, 2021. "On CUSUM test for dynamic panel models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(2), pages 515-542, June.
    23. Tuan-Hock Ng & Chun-Teck Lye & Kar-Hoong Chan & Ying-Zhee Lim & Ying-San Lim, 2020. "Sustainability in Asia: The Roles of Financial Development in Environmental, Social and Governance (ESG) Performance," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 17-44, July.
    24. Benos, Nikos, 2009. "Fiscal policy and economic growth: empirical evidence from EU countries," MPRA Paper 19174, University Library of Munich, Germany.
    25. Serge Mandiefe Piabuo & Peter A. Minang & Chupezi Julius Tieguhong & Divine Foundjem-Tita & Frankline Nghobuoche, 2021. "Illegal logging, governance effectiveness and carbon dioxide emission in the timber-producing countries of Congo Basin and Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14176-14196, October.
    26. Bodil M. Larsen & Runa Nesbakken, 2003. "How to quantify household electricity end-use consumption," Discussion Papers 346, Statistics Norway, Research Department.
    27. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
    28. Hannah Goozee, 2017. "Energy, poverty and development: a primer for the Sustainable Development Goals," Working Papers 156, International Policy Centre for Inclusive Growth.
    29. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    30. Hannah Goozee, 2017. "Energy, Poverty and Development: A Primer for the Sustainable Development Goals," Working Papers id:11933, eSocialSciences.
    31. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    32. Wang, Jiao & Ji, Andy G., 2006. "Exchange rate sensitivity of China's bilateral trade flows," BOFIT Discussion Papers 19/2006, Bank of Finland Institute for Emerging Economies (BOFIT).
    33. Dimitrios Paparas & Christian Richter, 2015. "Fiscal policy and economic growth: Empirical evidence from the European Union," Working Papers 2015.06, International Network for Economic Research - INFER.
    34. T.G. Saji, 2018. "Financial Distress and Stock Market Failures: Lessons from Indian Realty Sector," Vision, , vol. 22(1), pages 50-60, March.
    35. Sefa Awaworyi Churchill & Bin Peng & Russell Smyth & Quanda Zhang, 2022. "R&D intensity and income inequality in the G7: 1870–2016," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 263-282, July.
    36. Dimitrios PAPARAS & Christian RICHTER & Alexandros PAPARAS, 2015. "Fiscal Policy and Economic Growth, Empirical Evidence in European Union," Turkish Economic Review, KSP Journals, vol. 2(4), pages 239-268, December.
    37. Pablo-Romero, María del P. & Sánchez-Braza, Antonio, 2017. "The changing of the relationships between carbon footprints and final demand: Panel data evidence for 40 major countries," Energy Economics, Elsevier, vol. 61(C), pages 8-20.
    38. Matsumoto, Shigeru, 2016. "How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data," Energy Policy, Elsevier, vol. 94(C), pages 214-223.
    39. Larsen, Bodil Merethe & Nesbakken, Runa, 2004. "Household electricity end-use consumption: results from econometric and engineering models," Energy Economics, Elsevier, vol. 26(2), pages 179-200, March.

  28. Arguea, N.M. & Hsiao, C. & Taylor, G.A., 1993. "Estimating Consumer Preferences Using Market Data - An Application to U.S. Automobile Demand," Papers 9316, Southern California - Department of Economics.

    Cited by:

    1. Prieto, Marc & Caemmerer, Barbara & Baltas, George, 2015. "Using a hedonic price model to test prospect theory assertions: The asymmetrical and nonlinear effect of reliability on used car prices," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 206-212.
    2. G Baltas & C Saridakis, 2010. "Measuring brand equity in the car market: a hedonic price analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 284-293, February.
    3. Silver, Mick, 2000. "Hedonic regressions: an application to VCRs using scanner data," Omega, Elsevier, vol. 28(4), pages 399-408, August.
    4. Shigeru Matsumoto, 2018. "Consumer valuation of energy-saving features of residential air conditioners with hedonic and choice models," Empirical Economics, Springer, vol. 55(4), pages 1779-1806, December.
    5. Heravi, Saeed & Silver, Mick, 2002. "A failure in the measurement of inflation: results from a hedonic and matched experiment using scanner data," Working Paper Series 144, European Central Bank.
    6. Arguea, Nestor M. & Hsiao, Cheng, 2000. "Market Values of Environmental Amenities: A Latent Variable Approach," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 104-126, March.
    7. Ufuk Demiroglu & Caglar Yunculer, 2016. "Estimating Light-Vehicle Sales in Turkey," Working Papers 1627, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    8. Jonathan Murray & Nicholas Sarantis, 1999. "Price-Quality Relations and Hedonic Price Indexes for Cars in the United Kingdom," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 5-27.
    9. Chen, Yubo & Fay, Scott & Wang, Qi, 2011. "The Role of Marketing in Social Media: How Online Consumer Reviews Evolve," Journal of Interactive Marketing, Elsevier, vol. 25(2), pages 85-94.
    10. Dimitrios Giannias, 1999. "Market Positioning of Differentiated Products," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 6(1), pages 29-39.
    11. Cumhur Erdem & Saban Nazlioglu, 2013. "Determinants of new vehicle registrations in EU countries: a panel cointegration analysis," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(3), pages 287-298, April.
    12. Christos Ioannidis & Mick Silver, 1999. "Estimating exact hedonic indexes: An application to UK television sets," Journal of Economics, Springer, vol. 69(1), pages 71-94, February.
    13. Silver, Mick, 1999. "Disparities in the prices of new and old models when they coexist in the market: some econometric estimates," Omega, Elsevier, vol. 27(1), pages 13-24, February.
    14. Ebru Caglayan Akay & mer Faruk Bolukbasi & Engin Bekar, 2018. "Robust and Resistant Estimations of Hedonic Prices for Second Hand Cars: an Application to the Istanbul Car Market," International Journal of Economics and Financial Issues, Econjournals, vol. 8(1), pages 39-47.
    15. Reis, Hugo J. & Santos Silva, J.M.C., 2006. "Hedonic prices indexes for new passenger cars in Portugal (1997-2001)," Economic Modelling, Elsevier, vol. 23(6), pages 890-908, December.
    16. Martin, Elliott William, 2009. "New Vehicle Choice, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and the Gasoline Tax," University of California Transportation Center, Working Papers qt5gd206wv, University of California Transportation Center.
    17. Martin, Elliot William, 2009. "New Vehicle Choices, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and Gasoline Tax," University of California Transportation Center, Working Papers qt6sz198c2, University of California Transportation Center.
    18. MATSUMOTO Shigeru & OMATA Yukiko, 2015. "Consumer Valuations of Energy Efficiency Investments: The case of Vietnam's air conditioner market," Discussion papers 15063, Research Institute of Economy, Trade and Industry (RIETI).
    19. Vlad Radoias, 2014. "The myth of the domestic brand bias for automobiles in the european union," Economics Bulletin, AccessEcon, vol. 34(4), pages 2115-2127.
    20. Chen, Anning, 2011. "Reliable GPS Integer Ambiguity Resolution," University of California Transportation Center, Working Papers qt9gs0t2f9, University of California Transportation Center.
    21. Christos Ioannidis & Mick Silver, 2003. "Chained, exact and superlative hedonic price changes: estimates from microdata," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1005-1014.
    22. Mick Silver & Saeed Heravi, 2003. "The Measurement of Quality-Adjusted Price Changes," NBER Chapters, in: Scanner Data and Price Indexes, pages 277-316, National Bureau of Economic Research, Inc.
    23. Mark Dickie & Charles Delorme & Jeffrey Humphreys, 1997. "Hedonic prices, goods-specific effects and functional form: inferences from cross-section time series data," Applied Economics, Taylor & Francis Journals, vol. 29(2), pages 239-249.

  29. Hsiao, C. & Mountain, D.C., 1993. "A Framework for Regional Modeling and Impact Analysis - An Analysis of the Demand for Electricity by Large Municipalities in Ontario, Canada," Papers 9317, Southern California - Department of Economics.

    Cited by:

    1. Fischer, E.W., 1993. "Light scattering and dielectric studies on glass forming liquids," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 201(1), pages 183-206.
    2. Philip Arestis & Ana Rosa González & Oscar Dejuan, 2012. "Investment, Financial Markets, and Uncertainty," Economics Working Paper Archive wp_743, Levy Economics Institute.

  30. Hsiao, C., 1992. "Random Coefficients Models," Papers 9212, Southern California - Department of Economics.

    Cited by:

    1. Jonathan McCarthy & Egon Zakrajšek, 2000. "Microeconomic inventory adjustment: evidence from U.S. firm-level data," Finance and Economics Discussion Series 2000-24, Board of Governors of the Federal Reserve System (U.S.).
    2. Martin Falk & Rahel Falk, 2000. "Pricing to Market of German Exporters: Evidence from Panel Data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 27(1), pages 21-46, March.
    3. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    4. A. Bénassy-Quéré & S. Larribeau & R. MacDonald, 1999. "Models of exchange rate expectations : heterogeneous evidence from Panel data," THEMA Working Papers 99-05, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    5. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    6. Baleiras, Rui Nuno & da Silva Costa, Jose, 2004. "To be or not to be in office again: an empirical test of a local political business cycle rationale," European Journal of Political Economy, Elsevier, vol. 20(3), pages 655-671, September.
    7. Benassy-Quere, Agnes & Larribeau, Sophie & MacDonald, Ronald, 2003. "Models of exchange rate expectations: how much heterogeneity?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 113-136, April.
    8. Smith, Lisa C. & Haddad, Lawrence James, 2000. "Explaining child malnutrition in developing countries: a cross-country analysis," Research reports 111, International Food Policy Research Institute (IFPRI).
    9. Robert E. Krider & Priya Raghubir & Aradhna Krishna, 2001. "Pizzas: p or Square? Psychophysical Biases in Area Comparisons," Marketing Science, INFORMS, vol. 20(4), pages 405-425, March.

  31. Hsiao, C., 1992. "Logit and Probit Models," Papers 9210, Southern California - Department of Economics.

    Cited by:

    1. Alban Thomas, 2002. "Consistent estimation of discrete-choice models for panel data with multiplicative effects," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D6-2, International Conferences on Panel Data.
    2. Kjetil Telle, 2004. "Effects of inspections on plants' regulatory and environmental performance - evidence from Norwegian manufacturing industries," Discussion Papers 381, Statistics Norway, Research Department.
    3. M. Dahchour & G. Dionne, 2002. "Pricing of Automobile Insurance Under Asymmetric Information : a Study on Panel Data," THEMA Working Papers 2002-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Kjetil Telle, 2009. "The threat of regulatory environmental inspection: impact on plant performance," Journal of Regulatory Economics, Springer, vol. 35(2), pages 154-178, April.
    5. Heinz König & Michael Lechner, 1994. "Some Recent Developments in Microeconometrics - A Survey," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(III), pages 299-331, September.
    6. Inkmann, Joachim, 1999. "Misspecified heteroskedasticity in the panel probit model: A small sample comparison of GMM and SML estimators," CoFE Discussion Papers 99/04, University of Konstanz, Center of Finance and Econometrics (CoFE).
    7. Bergstrom, John C. & Holmes, Thomas P. & Huszar, Eric & Kask, Susan B. & Volinskiy, Dmitriy, 2003. "Use Of Chamberlain Fixed Effects Approach To Estimate Willingness-To-Pay For Little Tennessee River Basin Management Alternatives," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35195, Southern Agricultural Economics Association.
    8. Breitung, Jörg & Lechner, Michael, 1998. "Alternative GMM methods for nonlinear panel data models," SFB 373 Discussion Papers 1998,81, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. POWO FOSSO, Bruno, 2000. "Les déterminants des faillites bancaires dans les pays en développement: le cas des pays de l'Union économique et monétaire Ouest-africaine (UEMOA)," Cahiers de recherche 2000-02, Universite de Montreal, Departement de sciences economiques.
    10. R. Hujer & K.-O. Maurer & M. Wellner, 1997. "Estimating the Effect of Training on Unemployment Duration in West Germany - A Discrete Hazard-Rate Model with Instrumental Variables," Econometrics 9704001, University Library of Munich, Germany.
    11. Didier Balsan & Saïd Hanchane & Patrick Werquin, 1996. "Mobilité professionnelle initiale : éducation et expérience sur le marché du travail," Économie et Statistique, Programme National Persée, vol. 299(1), pages 91-106.
    12. Kari Hämäläinen & Aki Kangasharju & Sari Pekkala & Matti Sarvimäki, 2005. "Employment Assimilation of Immigrants - Evidence from Finland," ERSA conference papers ersa05p75, European Regional Science Association.

  32. Hsiao, C., 1992. "Nonlinear Latent Variable Models," Papers 9211, Southern California - Department of Economics.

    Cited by:

    1. Shigeru Iwata, 2001. "Recentered And Rescaled Instrumental Variable Estimation Of Tobit And Probit Models With Errors In Variables," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 319-335.
    2. Erik Meijer & Tom Wansbeek, 1999. "Quadratic prediction of factor scores," Psychometrika, Springer;The Psychometric Society, vol. 64(4), pages 495-507, December.
    3. Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September.
    4. Li, Tong, 2000. "Estimation of nonlinear errors-in-variables models: a simulated minimum distance estimator," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 243-248, April.
    5. Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.
    6. Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.

  33. Arguea, N.M. & Hsiao, C., 1992. "Econometric Issues of Estimating Hedonic Price Functions- with an Application to the U.S. Market for Automobiles," Papers 9203, Southern California - Department of Economics.

    Cited by:

    1. Hoffmann, Johannes, 1998. "Probleme der Inflationsmessung in Deutschland," Discussion Paper Series 1: Economic Studies 1998,01, Deutsche Bundesbank.
    2. Badi H. Baltagi & Georges Bresson & Jean-Michae Etienne, 2013. "Hedonic Housing Prices in Paris: An Unbalanced Spatial Lag Pseudo-Panel Model with Nested Random Effects," Center for Policy Research Working Papers 163, Center for Policy Research, Maxwell School, Syracuse University.
    3. Schamel, Guenter & Anderson, Kym, 2001. "Wine Quality and Regional Reputation: Hedonic Prices for Australia and New Zealand," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125877, Australian Agricultural and Resource Economics Society.
    4. Anderson, Kym & Wood, Danielle, 2005. "What Determines the Future Value of an Icon Wine? New Evidence from Australia," CEPR Discussion Papers 5044, C.E.P.R. Discussion Papers.
    5. Schamel, Guenter, 2003. "International Wine Trade: Analyzing The Value Of Reputation And Quality Signals," 2003 Annual meeting, July 27-30, Montreal, Canada 22157, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Ramírez Muñoz de Toro, Gonzalo R. & Uriarte, Juan I. & Delbianco, Fernando & Larrosa, Juan M.C., 2017. "Un modelo hedónico de precios en línea de automóviles usados en Argentina || A Hedonic Model of Online Prices of Used Cars in Argentina," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 25-53, Diciembre.
    7. Nair, Santosh & Espey, Molly, 2004. "Automobile Fuel Economy: What is it Worth?," 2004 Annual meeting, August 1-4, Denver, CO 20102, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Anna Alberini, Markus Bareit and Massimo Filippini, 2016. "What is the Effect of Fuel Efficiency Information on Car Prices? Evidence from Switzerland," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    9. Baltagi, Badi H. & Bresson, Georges, 2011. "Maximum likelihood estimation and Lagrange multiplier tests for panel seemingly unrelated regressions with spatial lag and spatial errors: An application to hedonic housing prices in Paris," Journal of Urban Economics, Elsevier, vol. 69(1), pages 24-42, January.
    10. Arguea, Nestor M. & Hsiao, Cheng, 2000. "Market Values of Environmental Amenities: A Latent Variable Approach," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 104-126, March.
    11. Ibon Galarraga & Ana Ramos & Josu Lucas, 2012. "The Price of Energy Efficiency in the Spanish Car Market," Working Papers 02-2013, Economics for Energy.
    12. Schamel, Guenter, 2002. "California Wine Winners: A Hedonic Analysis Of Regional And Winery Reputation Indicators," 2002 Annual meeting, July 28-31, Long Beach, CA 19864, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Clapp, John M. & Salavei, Katsiaryna, 2010. "Hedonic pricing with redevelopment options: A new approach to estimating depreciation effects," Journal of Urban Economics, Elsevier, vol. 67(3), pages 362-377, May.
    14. Koen Pauwels & Richard D’Aveni, 2016. "The formation, evolution and replacement of price–quality relationships," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 46-65, January.
    15. David Prentice & Xiangkang Yin, 2000. "Measuring Quality-Adjusted Inflation Rates for a Heterogeneous Oligopoly," Working Papers 2000.06, School of Economics, La Trobe University.
    16. John R. Knight & C. F. Sirmans & Geoffrey K. Turnbull, 1998. "List Price Information in Residential Appraisal and Underwriting," Journal of Real Estate Research, American Real Estate Society, vol. 15(1), pages 59-76.
    17. Anna Alberini & Massimo Filippini & Markus Bareit, 2014. "Does the Swiss Car Market Reward Fuel Efficient Cars? Evidence from Hedonic Pricing Regressions, Matching and a Regression Discontinuity Design," CER-ETH Economics working paper series 14/190, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    18. Herrmann, Roland & Roeder, Claudia, 1998. "Some neglected issues in food demand analysis: retail-level demand, health information and product quality," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), pages 1-27.
    19. Pendleton, Linwood, 1999. "Reconsidering the hedonic vs. RUM debate in the valuation of recreational environmental amenities," Resource and Energy Economics, Elsevier, vol. 21(2), pages 167-189, May.
    20. Giuliano Rolle, 2022. "Between and within vehicle models hedonic analyses of environmental attributes: the case of the Italian used-car market," SEEDS Working Papers 0822, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2022.
    21. Deltas, George & Zacharias, Eleftherios, 2006. "Entry order and pricing over the product cycle: The transition from the 486 to the Pentium processor," International Journal of Industrial Organization, Elsevier, vol. 24(5), pages 1041-1069, September.
    22. Reis, Hugo J. & Santos Silva, J.M.C., 2006. "Hedonic prices indexes for new passenger cars in Portugal (1997-2001)," Economic Modelling, Elsevier, vol. 23(6), pages 890-908, December.
    23. Landon, Stuart & Smith, Constance, 1997. "The Use of Quality and Reputation Indicators by Consumers: The Case of Bordeaux Wine," MPRA Paper 9283, University Library of Munich, Germany.
    24. Hoffmann, Johannes, 1998. "Problems of inflation measurement in Germany," Discussion Paper Series 1: Economic Studies 1998,01e, Deutsche Bundesbank.
    25. Alberini, Anna & Di Cosmo, Valeria & Bigano, Andrea, 2019. "How are fuel efficient cars priced? Evidence from eight EU countries," Energy Policy, Elsevier, vol. 134(C).
    26. Sanja Lutzeyer, 2008. "Estimating Hedonic Prices for Stellenbosch wine," Working Papers 15/2008, Stellenbosch University, Department of Economics.
    27. Federico Perali & Furio Rosati & Martina Menon, 2004. "Estimation of the Contribution of Child Labour to the Formation of Rural Incomes: An Application to Nepal," CHILD Working Papers wp10_05, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    28. Schamel, Guenter, 2003. "A Hedonic Pricing Model for German Wine," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 52(05), pages 1-8.
    29. Cicia, Gianni & Caracciolo, Francesco & Del Giudice, Teresa & Sannino, G. & Verneau, Fabio, 2013. "The Role of Sensory Profile in the Extra-Virgin Olive Oil Consumers Choice," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164738, International European Forum on System Dynamics and Innovation in Food Networks.
    30. Vlad Radoias, 2014. "The myth of the domestic brand bias for automobiles in the european union," Economics Bulletin, AccessEcon, vol. 34(4), pages 2115-2127.
    31. Richards, Timothy J. & Patterson, Paul M. & Hamilton, Stephen F., 2007. "Fast Food, Addiction, and Market Power," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(3), pages 1-23, December.
    32. San Martin, Guillermo S. & Brümmer, Bernhard & Troncoso, Javier L., 2008. "Determinants Of Argentinean Wine Prices In The U.S. Market," Working Papers 37327, American Association of Wine Economists.
    33. Bonnetain, Philippe, 2003. "A hedonic price model for islands," Journal of Urban Economics, Elsevier, vol. 54(2), pages 368-377, September.
    34. Anna Alberini & Markus Bareit & Massimo Filippini, 2014. "Does the Swiss Car Market Reward Fuel Efficient Cars? Evidence from Hedonic Pricing Regressions, a Regression Discontinuity Design, and Matching," Working Papers 2014.16, Fondazione Eni Enrico Mattei.
    35. Randall S. Guttery & C. F. Sirmans, 1998. "Aggregation Bias in Price Indices for Multi-Family Rental Properties," Journal of Real Estate Research, American Real Estate Society, vol. 15(3), pages 309-326.
    36. Linwood Pendleton & Robert Mendelsohn, 2000. "Estimating Recreation Preferences Using Hedonic Travel Cost and Random Utility Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 17(1), pages 89-108, September.

  34. Hsiao, C. & Appelbe, T.W. & Dineen, C.R., 1992. "A General Framework for Panel Data Models with an Application to Canadian Customer-Dialed Long Distance Telephone Service," Papers 90-92-15, California Irvine - School of Social Sciences.

    Cited by:

    1. Hielke Buddelmeyer & Kenneth Troske, 2004. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Econometric Society 2004 North American Winter Meetings 334, Econometric Society.
    2. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).
    3. Heerde, Harald J. van & Leeflang, Peter S.H. & Wittink, Dick R., 1999. "The estimation of pre- and postpromotion dips with store-level scanner data," Research Report 99B36, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. 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.
    5. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    6. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    7. Konstantinos Chatzimichael & Pantelis Kalaitzidakis & Vangelis Tzouvelekas, 2019. "Tax evasion, tax monitoring expenses and economic growth: an empirical analysis in OECD countries," Empirical Economics, Springer, vol. 57(1), pages 285-300, July.
    8. Eduardo Correia & Rodrigo Calili & José Francisco Pessanha & Maria Fatima Almeida, 2023. "Definition of Regulatory Targets for Electricity Non-Technical Losses: Proposition of an Automatic Model-Selection Technique for Panel Data Regressions," Energies, MDPI, vol. 16(6), pages 1-22, March.
    9. Molina, Isabel, 2009. "Uncertainty under a multivariate nested-error regression model with logarithmic transformation," Journal of Multivariate Analysis, Elsevier, vol. 100(5), pages 963-980, May.
    10. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    11. Gary Madden & Scott J. Savage, 2000. "Market Structure, Competition, and Pricing in United States International Telephone Service Markets," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 291-296, May.
    12. Garin-Munoz, Teresa & Perez-Amaral, Teodosio, 1998. "Econometric modelling of Spanish very long distance international calling," Information Economics and Policy, Elsevier, vol. 10(2), pages 237-252, June.
    13. Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.
    14. Dimitrios Paparas & Christian Richter, 2015. "Fiscal policy and economic growth: Empirical evidence from the European Union," Working Papers 2015.06, International Network for Economic Research - INFER.
    15. Maira Caño- Guiral, 1995. "Competitividad y eficiencia técnica. Un modelo de datos panel para la industria láctea uruguaya," Documentos de Trabajo (working papers) 0795, Department of Economics - dECON.
    16. Irza Hanie Abu Samah & Intan Maizura Abd Rashid & Wan Ahmad Fauzi Wan Husain & Suraiya Ibrahim & Hariri Hamzah & Mohammad Harith Amlus, 2020. "The Impact of Healthcare Expenditure and Healthcare Sector Growth on CO2 Emission using Dynamic Panel Data System GMM Estimation Model during COVID 19 Crisis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 235-241.
    17. Dimitrios PAPARAS & Christian RICHTER & Alexandros PAPARAS, 2015. "Fiscal Policy and Economic Growth, Empirical Evidence in European Union," Turkish Economic Review, KSP Journals, vol. 2(4), pages 239-268, December.
    18. Richard Grabowski and Sharmistha Self, 2019. "Structural Change and the Intersectoral Terms of Trade: Southeast Asian Experience," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(2), pages 29-47, June.

  35. Hsiao, C., 1989. "Identification And Estimation Of Dichotomous Latent Variables Models Using Panel Data," Papers 8944, Tilburg - Center for Economic Research.

    Cited by:

    1. Ginger Jin & Andrew Kato & John List, 2006. "That's news to me! information revelation in professional certification markets," Framed Field Experiments 00162, The Field Experiments Website.
    2. Yingyao Hu & Geert Ridder, 2009. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," Economics Working Paper Archive 554, The Johns Hopkins University,Department of Economics.
    3. Shigeru Iwata, 2001. "Recentered And Rescaled Instrumental Variable Estimation Of Tobit And Probit Models With Errors In Variables," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 319-335.
    4. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification of Regression Models Containing a Misclassified Dichotomous Regressor Without Instruments," Boston College Working Papers in Economics 675, Boston College Department of Economics.
    5. Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.
    6. Xiaohong Chen & Han Hong & Denis Nekipelov, 2011. "Nonlinear Models of Measurement Errors," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 901-937, December.
    7. Xiaohong Chen & Yingyao Hu & Arthur Lewbel, 2007. "Nonparametric Identification and Estimation of Nonclassical Errors-in-Variables Models Without Additional Information," Boston College Working Papers in Economics 676, Boston College Department of Economics.
    8. Wang, Liqun, 1998. "Estimation of censored linear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 84(2), pages 383-400, June.

  36. Hsiao, C. & Mountain, D.C. & Tsui, K.Y. & Chan, M.W.L., 1989. "Modeling Ontario Regional Electricity System Demand Using A Mixed Fixed And Random Coefficients Approach," Papers m8906, Southern California - Department of Economics.

    Cited by:

    1. Nicholas M. Odhiambo, 2021. "Is export-led growth hypothesis still valid for sub-Saharan African countries? New evidence from panel data analysis," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 31(1), pages 77-93, April.
    2. Cheng Hsiao, 2006. "Panel Data Analysis - Advantages and Challenges," IEPR Working Papers 06.49, Institute of Economic Policy Research (IEPR).
    3. Odhiambo, Nicholas M, 2021. "A test of exports-led growth hypothesis in Sub-Saharan African countries: Evidence from panel data analysis," Working Papers 27170, University of South Africa, Department of Economics.
    4. N.M. Odhiambo, 2021. "Is Export-Led Growth Hypothesis Still Valid for Sub-Saharan African Countries? New Evidence from Panel Data Analysis," Working Papers AESRI-2021-02, African Economic and Social Research Institute (AESRI), revised Jan 2021.
    5. Konstantinos Chatzimichael & Pantelis Kalaitzidakis & Vangelis Tzouvelekas, 2019. "Tax evasion, tax monitoring expenses and economic growth: an empirical analysis in OECD countries," Empirical Economics, Springer, vol. 57(1), pages 285-300, July.
    6. Aleksandra Kordalska & Magdalena Olczyk, 2016. "Global Competitiveness And Economic Growth: A One-Way Or Two-Way Relationship?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 121-142, March.
    7. Diana Weinhold, 1996. "Tests de causalité sur données de panel : une application à l'étude de la causalité entre l'investissement et la croissance," Économie et Prévision, Programme National Persée, vol. 126(5), pages 163-175.
    8. Mohamad Ahmad Abou Hamia, 2024. "The integration of developing countries into world technology markets: cause or effect of total factor productivity?," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 879-902, February.
    9. Shumway, C. Richard & Liu, Yucan, 2006. "Induced Innovation in the Agricultural Sector: Evidence From a State Panel," 2006 Annual meeting, July 23-26, Long Beach, CA 21089, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Töngür, Ünal & Elveren, Adem Yavuz, 2014. "Deunionization and pay inequality in OECD Countries: A panel Granger causality approach," Economic Modelling, Elsevier, vol. 38(C), pages 417-425.
    11. Michael Feil, 2012. "Taxation and unemployment: (systematic) evidence from panel data analysis," EcoMod2012 4472, EcoMod.
    12. Erkan Erdil & I. Hakan Yetkiner, 2009. "The Granger-causality between health care expenditure and output: a panel data approach," Applied Economics, Taylor & Francis Journals, vol. 41(4), pages 511-518.
    13. Gülsüm Akarsu, 2017. "Analyzing the impact of oil price volatility on electricity demand: the case of Turkey," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 371-388, December.
    14. Atakhanova, Zauresh & Howie, Peter, 2007. "Electricity demand in Kazakhstan," Energy Policy, Elsevier, vol. 35(7), pages 3729-3743, July.
    15. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    16. Weichun Chen & Judith A. Clarke & Nilanjana Roy, 2014. "Health and wealth: Short panel Granger causality tests for developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 23(6), pages 755-784, September.
    17. Uslu, Çağrı Levent & Aydoğan, Ebru Tomris & Ketenci, Natalya, 2015. "Economic Growth, Financial Development, and Trade Openness in Emerging Markets: Panel Approach," MPRA Paper 64722, University Library of Munich, Germany.
    18. Diana Weinhold, 2004. "A Dynamic “Fixed Effects” Model for Heterogeneous Panel Data," Econometrics 0410003, University Library of Munich, Germany.
    19. Tai-Hsin Huang & Zixiong Xie, 2013. "Population and economic growth: a simultaneous equation perspective," Applied Economics, Taylor & Francis Journals, vol. 45(27), pages 3820-3826, September.
    20. Yafei Wang & Li Xie & Yi Zhang & Chunyun Wang & Ke Yu, 2019. "Does FDI Promote or Inhibit the High-Quality Development of Agriculture in China? An Agricultural GTFP Perspective," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    21. A.R. Kemal & Abdul Qayyum & Muhammad Nadim Hanif, 2007. "Financial Development and Economic Growth: Evidence from a Heterogeneous Panel of High Income Countries," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 12(1), pages 1-34, Jan-Jun.
    22. Abdur R. Chowdhury, 2010. "External Debt and Growth in Developing Countries: A Sensitivity and Causal Analysis," Working Papers id:3151, eSocialSciences.
    23. M E Haque & D H Kim, 2003. "Public Investment in Transportation and Communication and Growth: A Dynamic Panel Approach," Economics Discussion Paper Series 0324, Economics, The University of Manchester.
    24. Hayat, Arshad, 2016. "Foreign Direct Investment, Institutional Framework and Economic Growth," MPRA Paper 74563, University Library of Munich, Germany.
    25. João A. S. ANDRADE & Adelaide P. S. DUARTE & Marta C. N. SIMÕES, 2018. "Education and health: welfare state composition and growth across country groups," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 9, pages 111-144, December.
    26. Edward M Feasel & Nobuyuki Kanazawa, 2013. "Sentiment toward Trading Partners and International Trade," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(3), pages 309-327.
    27. Richard K. Moussa & Eric Delattre, 2023. "Dynamics of interactions between health and employment statuses: a panel data approach," SN Business & Economics, Springer, vol. 3(8), pages 1-26, August.
    28. Qayyum, Abdul & Siddiqui, Rehana & Hanif, Muhammad Nadim, 2004. "Financial Development and Economic Growth: Evidence from Heterogeneous Panel Data of Low Income Countries," MPRA Paper 23431, University Library of Munich, Germany.
    29. Richard Grabowski and Sharmistha Self, 2019. "Structural Change and the Intersectoral Terms of Trade: Southeast Asian Experience," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 44(2), pages 29-47, June.
    30. Erkan Erdil & I. Hakan Yetkiner, 2004. "A Panel Data Approach for Income-Health Causality," Working Papers FNU-47, Research unit Sustainability and Global Change, Hamburg University, revised Apr 2004.
    31. A�a�Yrı Levent Uslu & Ebru Tomris Aydo�Yan & Natalya Ketenci, 2016. "Impact Of Structural Breaks Presence On Economic Development Of Emerging Countries," Journal Articles, Center For Economic Analyses, pages 5-21, December.

  37. Hsiao, C. & Kim, C. & Taylor, G., 1989. "A Statistical Perspective On Insurance Rate-Making," Papers m8916, Southern California - Department of Economics.

    Cited by:

    1. Shengkun Xie, 2021. "Improving Explainability of Major Risk Factors in Artificial Neural Networks for Auto Insurance Rate Regulation," Risks, MDPI, vol. 9(7), pages 1-21, July.
    2. Otter, Pieter W. & Scheer, Hiek van der & Wansbeek, Tom, 2006. "Optimal selection of households for direct marketing by joint modeling of the probability and quantity of response," CCSO Working Papers 200606, University of Groningen, CCSO Centre for Economic Research.
    3. Christian Gouriéroux & Alain Monfort & Eric Renault, 2017. "Consistent Pseudo-Maximum Likelihood Estimators," Working Papers 2017-10, Center for Research in Economics and Statistics.

  38. Hsiao, C., 1988. "Consistent Estimation For Some Nonlinear Errors-In- Variables Models," Papers m8810, Southern California - Department of Economics.

    Cited by:

    1. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2012. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Documentos de Trabajo del ICAE 2012-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
    2. Yingyao Hu & Geert Ridder, 2009. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," Economics Working Paper Archive 554, The Johns Hopkins University,Department of Economics.
    3. Shigeru Iwata, 2001. "Recentered And Rescaled Instrumental Variable Estimation Of Tobit And Probit Models With Errors In Variables," Econometric Reviews, Taylor & Francis Journals, vol. 20(3), pages 319-335.
    4. Ziliak, J. & Kniesner, T.J., 1995. "Estimating life-cycle labor supply tax effects," Other publications TiSEM 1b4b66ee-5312-4f01-8fe4-8, Tilburg University, School of Economics and Management.
    5. Stern, Steven, 1994. "Two Dynamic Discrete Choice Estimation Problems and Simulation Method Solutions," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 695-702, November.
    6. Takahide Yanagi, 2019. "Inference on local average treatment effects for misclassified treatment," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 938-960, September.
    7. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Ahmed Rufai Mohammad & Mohamad Helmi Bin Hidthiir & Alias Mat Nor, 2018. "The Impact of Reserves Debt Ratio on Profitability of Commercial Banks: Lesson from Nigeria," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 8(2), pages 1419-1419.
    9. Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.
    10. Moschini, GianCarlo, 1999. "Production Risk and the Estimation of Ex-ante Cost Functions," ISU General Staff Papers 199903010800001316, Iowa State University, Department of Economics.
    11. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A. J. Pownall, 2023. "Empirical evidence of anchoring and loss aversion from art auctions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(2), pages 279-301, June.
    12. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
    13. Hong, Han & Tamer, Elie, 2003. "A simple estimator for nonlinear error in variable models," Journal of Econometrics, Elsevier, vol. 117(1), pages 1-19, November.
    14. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel A J Pownall, 2014. "Anchoring or Loss Aversion? Empirical Evidence from Art Auctions," ACEI Working Paper Series AWP-04-2014, Association for Cultural Economics International, revised Jun 2014.
    15. Li, Tong, 2002. "Robust and consistent estimation of nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 110(1), pages 1-26, September.
    16. Li, Tong, 2000. "Estimation of nonlinear errors-in-variables models: a simulated minimum distance estimator," Statistics & Probability Letters, Elsevier, vol. 47(3), pages 243-248, April.
    17. Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.
    18. Kathryn Graddy & Lara Loewenstein & Jianping Mei & Mike Moses & Rachel Pownall, 2014. "Empirical Evidence of Anchoring and Loss Aversion from Art Auctions," Working Papers 73, Brandeis University, Department of Economics and International Business School, revised Apr 2015.
    19. Xiaohong Chen & Yingyao Hu, 2006. "Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors," Cowles Foundation Discussion Papers 1590, Cowles Foundation for Research in Economics, Yale University.
    20. Wing-Keung Wong & Guorui Bian, 2005. "Robust Estimation of Multiple Regression Model with Non-normal Error: Symmetric Distribution," Monash Economics Working Papers 09/05, Monash University, Department of Economics.
    21. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
    22. Stefano Iezzi, 2008. "Investors' risk attitude and risky behavior: a Bayesian approach with imperfect information," Temi di discussione (Economic working papers) 692, Bank of Italy, Economic Research and International Relations Area.

  39. Mountain, D. & Hsiao, C., 1988. "A Combined Structural And Flexible Functional Approach For Modeling Energy Substitution," Papers m8815, Southern California - Department of Economics.

    Cited by:

    1. David I.Stern, 2009. "Interfuel Substitution: A Meta Analysis," Environmental Economics Research Hub Research Reports 0933, Environmental Economics Research Hub, Crawford School of Public Policy, The Australian National University.
    2. Bacon, Robert, 1992. "Measuring the possibilities of interfuel substitution," Policy Research Working Paper Series 1031, The World Bank.
    3. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.
    4. Banda, Benjamin M. & Hassan, Rashid M., 2011. "Inter-fuel substitution and dynamic adjustment in input demand: Implications for deforestation and carbon emission in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(1), pages 1-16, March.

  40. Cheng Hsiao, 1977. "Money And Income, Causality Detection," NBER Working Papers 0167, National Bureau of Economic Research, Inc.

    Cited by:

    1. Robert T. Michael, 1978. "Causation Among Socioeconomic Time-Series," NBER Working Papers 0246, National Bureau of Economic Research, Inc.
    2. Tadashi Yamada, 1983. "Causality and Innovations Between Fertility and Infant Mortality," NBER Working Papers 1093, National Bureau of Economic Research, Inc.

Articles

  1. Cheng Hsiao, 2020. "Estimation of fixed effects dynamic panel data models: linear differencing or conditional expectation," Econometric Reviews, Taylor & Francis Journals, vol. 39(8), pages 858-874, September.

    Cited by:

    1. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.

  2. Cheng Hsiao & Qi Li & Zhongwen Liang & Wei Xie, 2019. "Panel Data Estimation for Correlated Random Coefficients Models," Econometrics, MDPI, vol. 7(1), pages 1-18, February.

    Cited by:

    1. Filip Abraham & Yannick Bormans & Jozef Konings & Werner Roeger, 2020. "Price-cost margins and fixed costs," Working Papers 202010, University of Liverpool, Department of Economics.
    2. Yu Bai & Massimiliano Marcellino & George Kapetanios, 2023. "Mean Group Instrumental Variable Estimation of Time-Varying Large Heterogeneous Panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 13/23, Monash University, Department of Econometrics and Business Statistics.

  3. Kannika Damrongplasit & Cheng Hsiao & Xueyan Zhao, 2019. "Health status and labour market outcome: Empirical evidence from Australia," Pacific Economic Review, Wiley Blackwell, vol. 24(2), pages 269-292, May.

    Cited by:

    1. Deborah A. Cobb‐Clark & Lihini De Silva, 2021. "Participation, Unemployment, and Wages," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 482-493, December.
    2. Mark N. Harris & Xueyan Zhao & Eugenio Zucchelli, 2021. "Ageing Workforces, Ill‐health and Multi‐state Labour Market Transitions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 199-227, February.
    3. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.
    4. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.

  4. Cheng Hsiao & Qiankun Zhou, 2019. "Panel parametric, semiparametric, and nonparametric construction of counterfactuals," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 463-481, June.

    Cited by:

    1. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    2. Xiaomeng Zhang & Wendun Wang & Xinyu Zhang, 2022. "Asymptotic Properties of the Synthetic Control Method," Papers 2211.12095, arXiv.org.
    3. Povilas Lastauskas & Julius Stakėnas, 2022. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 217-241, Emerald Group Publishing Limited.
    4. Michael Funke & Kadri Männasoo & Helery Tasane, 2023. "Regional Economic Impacts of the Øresund Cross-Border Fixed Link: Cui Bono?," CESifo Working Paper Series 10557, CESifo.
    5. Wilmer Martínez-Rivera & Thomaz Carvalhaes & Petar Jevtić & T. Agami Reddy, 2023. "A treatment-effect model to quantify human dimensions of disaster impacts: the case of Hurricane Maria in Puerto Rico," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 2033-2068, March.
    6. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
    7. Shui Ki Wan & Cheng Hsiao & Qiankun Zhou, 2021. "Can a time-varying structure provide a more robust panel construction of counterfactuals-straitjacket or straitjackets?," Empirical Economics, Springer, vol. 60(1), pages 113-129, January.
    8. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
    9. Yi‐Ting Chen, 2020. "A distributional synthetic control method for policy evaluation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 505-525, August.
    10. Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
    11. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.
    12. Zhentao Shi & Jingyi Huang, 2019. "Forward-Selected Panel Data Approach for Program Evaluation," Papers 1908.05894, arXiv.org, revised Apr 2021.
    13. Xingyu Li & Yan Shen & Qiankun Zhou, 2022. "Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects," Papers 2202.12078, arXiv.org.
    14. Feng Liu & Yu Fu & Weiguo Wang, 2023. "Heterogeneous Effects of China’s Carbon Market on Carbon Emissions—Evidence from a Regression Control Method," Sustainability, MDPI, vol. 16(1), pages 1-20, December.

  5. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    See citations under working paper version above.
  6. Hsiao, Cheng & Zhou, Qiankun, 2018. "Jive For Panel Dynamic Simultaneous Equations Models," Econometric Theory, Cambridge University Press, vol. 34(6), pages 1325-1369, December.
    See citations under working paper version above.
  7. Wan, Shui-Ki & Xie, Yimeng & Hsiao, Cheng, 2018. "Panel data approach vs synthetic control method," Economics Letters, Elsevier, vol. 164(C), pages 121-123.

    Cited by:

    1. Haoran Zhang & Rongxia Zhang & Guomin Li & Wei Li & Yongrok Choi, 2020. "Has China’s Emission Trading System Achieved the Development of a Low-Carbon Economy in High-Emission Industrial Subsectors?," Sustainability, MDPI, vol. 12(13), pages 1-20, July.
    2. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    3. 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.
    4. Eli Ben-Michael & Avi Feller & Jesse Rothstein, 2018. "The Augmented Synthetic Control Method," Papers 1811.04170, arXiv.org, revised Jul 2020.
    5. Povilas Lastauskas & Julius Stakėnas, 2022. "Dancing Alone or Together: The Dynamic Effects of Independent and Common Monetary Policies," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 217-241, Emerald Group Publishing Limited.
    6. 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).
    7. Castillo, Emilio, 2021. "The impacts of profit-based royalties on early-stage mineral exploration," Resources Policy, Elsevier, vol. 73(C).
    8. Dario Laudati & M. Hashem Pesaran, 2021. "Identifying the Effects of Sanctions on the Iranian Economy Using Newspaper Coverage," CESifo Working Paper Series 9217, CESifo.
    9. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
    10. Aleksandar Keseljevic & Rok Spruk, 2022. "Estimating the Effects of Syrian Civil War," Papers 2209.03046, arXiv.org.
    11. Shui Ki Wan & Cheng Hsiao & Qiankun Zhou, 2021. "Can a time-varying structure provide a more robust panel construction of counterfactuals-straitjacket or straitjackets?," Empirical Economics, Springer, vol. 60(1), pages 113-129, January.
    12. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
    13. Kaan Celebi, 2020. "Quo Vadis, Britain? - Implications of the Brexit Process on the UK's Real Economy," EIIW Discussion paper disbei268, Universitätsbibliothek Wuppertal, University Library.
    14. Hu, Yuan & Kuhn, Lena & Zheng, Wenxue, 2021. "Promote or Inhibit？the Effects of Forest Carbon Sinks Projects on Agricultural Development: Evidence from Sichuan, China," 2021 Conference, August 17-31, 2021, Virtual 315381, International Association of Agricultural Economists.
    15. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    16. Zeqin Liu & Zongwu Cai & Ying Fang & Ming Lin, 2019. "Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201904, University of Kansas, Department of Economics, revised Mar 2019.
    17. Mingfeng Zhan & Zongwu Cai & Ying Fang & Ming Lin, 2020. "Covariate Balance Weighting Methods in Estimating Treatment Effects: An Empirical Comparison," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202020, University of Kansas, Department of Economics, revised Dec 2020.
    18. Cheng Hsiao & Qiankun Zhou, 2018. "Panel Parametric, Semi-parametric and Nonparametric Construction of Counterfactuals - California Tobacco Control Revisited," Departmental Working Papers 2018-02, Department of Economics, Louisiana State University.

  8. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.

    Cited by:

    1. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2023. "Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects," Empirical Economics, Springer, vol. 64(6), pages 2611-2659, June.
    2. Ayden Higgins & Federico Martellosio, 2019. "Shrinkage Estimation of Network Spillovers with Factor Structured Errors," Papers 1909.02823, arXiv.org, revised Nov 2021.
    3. Claudia Pigini & Alessandro Pionati & Francesco Valentini, 2023. "Specification testing with grouped fixed effects," Papers 2310.01950, arXiv.org.
    4. Liu, Hao, 2019. "The communication and European Regional economic growth: The interactive fixed effects approach," Economic Modelling, Elsevier, vol. 83(C), pages 299-311.
    5. Cheng Hsiao & Yimeng Xie & Qiankun Zhou, 2021. "Factor dimension determination for panel interactive effects models: an orthogonal projection approach," Computational Statistics, Springer, vol. 36(2), pages 1481-1497, June.
    6. Higgins, Ayden & Martellosio, Federico, 2023. "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, vol. 233(1), pages 66-87.

  9. Cheng Hsiao & Qiankun Zhou, 2017. "First difference or forward demeaning: Implications for the method of moments estimators," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 883-897, October.

    Cited by:

    1. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    2. Robert F. Phillips, 2022. "Forward Orthogonal Deviations GMM and the Absence of Large Sample Bias," Papers 2212.14075, arXiv.org.
    3. Wendler, Tobias & Töbelmann, Daniel & Günther, Jutta, 2021. "Natural resources and technology - on the mitigating effect of green tech," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242416, Verein für Socialpolitik / German Economic Association.
    4. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    5. Tobias Wendler & Daniel Töbelmann & Jutta Günther, 2019. "Natural resources and technology - on the mitigating effect of green tech," Bremen Papers on Economics & Innovation 1905, University of Bremen, Faculty of Business Studies and Economics.
    6. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    7. Tobias Wendler, 2019. "About the Relationship Between Green Technology and Material Usage," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1383-1423, November.
    8. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    9. Yonghui Zhang & Qiankun Zhou, 2017. "Estimation for time-invariant effects in dynamic panel data models with application to income dynamics," Departmental Working Papers 2017-12, Department of Economics, Louisiana State University.
    10. Robert F. Phillips, 2019. "A Comparison of First-Difference and Forward Orthogonal Deviations GMM," Papers 1907.12880, arXiv.org.

  10. 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.

    Cited by:

    1. Li, Degui & Phillips, Peter C. B. & Gao, Jiti, 2016. "Uniform Consistency Of Nonstationary Kernel-Weighted Sample Covariances For Nonparametric Regression," Econometric Theory, Cambridge University Press, vol. 32(3), pages 655-685, June.
    2. Degui Li & Peter C.B. Phillips & Jiti Gao, 2017. "Kernel-Based Inference In Time-Varying Coefficient Cointegrating Regression," Cowles Foundation Discussion Papers 2109, Cowles Foundation for Research in Economics, Yale University.
    3. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.
    4. Luya Wang & Zhongwen Liang & Juan Lin & Qi Li, 2015. "Local Constant Kernel Estimation of a Partially Linear Varying Coefficient Cointegration Model," Annals of Economics and Finance, Society for AEF, vol. 16(2), pages 353-369, November.
    5. Chengyu Li & Mark Wang & Jianghao Wang & Wenjie Wu, 2016. "The Geography of City Liveliness and Land Use Configurations: Evidence from Location-Based Big Data in Beijing," SERC Discussion Papers 0201, Centre for Economic Performance, LSE.
    6. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.
    7. Qiying Wang & Peter C. B. Phillips & Ying Wang, 2023. "New asymptotics applied to functional coefficient regression and climate sensitivity analysis," Cowles Foundation Discussion Papers 2365, Cowles Foundation for Research in Economics, Yale University.

  11. 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.

    Cited by:

    1. Dong, Lei & Du, Rui & Kahn, Matthew & Ratti, Carlo & Zheng, Siqi, 2021. "“Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive?," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    2. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    3. Tianjiao Zhao & Xiang Xiao & Qinghui Dai, 2021. "Transportation Infrastructure Construction and High-Quality Development of Enterprises: Evidence from the Quasi-Natural Experiment of High-Speed Railway Opening in China," Sustainability, MDPI, vol. 13(23), pages 1-23, December.
    4. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Zhipeng Tang & Ziao Mei & Jialing Zou, 2021. "Does the Opening of High-Speed Railway Lines Reduce the Carbon Intensity of China’s Resource-Based Cities?," Energies, MDPI, vol. 14(15), pages 1-18, July.
    6. Lan, Xiujuan & Hu, Zheneng & Wen, Chuanhao, 2023. "Does the opening of high-speed rail enhance urban entrepreneurial activity? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    7. Chen, Jean Jinghan & Cui, Chuantao & Hunt, Richard A. & Li, Leona Shao-Zhi, 2020. "External enablement of new venture creation: An exploratory, query-driven assessment of China's high-speed rail expansion," Journal of Business Venturing, Elsevier, vol. 35(6).
    8. Baek, Jisun & Park, WooRam, 2022. "The impact of improved passenger transport system on manufacturing plant productivity," Regional Science and Urban Economics, Elsevier, vol. 96(C).
    9. Yang, Zhiwei & Li, Can & Jiao, Jingjuan & Liu, Wei & Zhang, Fangni, 2020. "On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China," Transport Policy, Elsevier, vol. 99(C), pages 20-30.
    10. Deng, Taotao & Wang, Dandan & Hu, Yukun & Liu, Shuang, 2020. "Did high-speed railway cause urban space expansion? ——Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 80(C).
    11. Wang, Yunmin & Cao, Guohua & Yan, Youliang & Wang, Jingjing, 2022. "Does high-speed rail stimulate cross-city technological innovation collaboration? Evidence from China," Transport Policy, Elsevier, vol. 116(C), pages 119-131.
    12. Long, Fenjie & Zheng, Longfei & Song, Zhida, 2018. "High-speed rail and urban expansion: An empirical study using a time series of nighttime light satellite data in China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 106-118.
    13. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    14. Zhaorui Guo & Kam C. Chan & Jun Huang, 2021. "The impact of executive diversity on corporate innovation: Evidence from the natural experiment of high‐speed rail in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 219-234, January.
    15. Kuang, Chun & Liu, Zijie & Zhu, Wenyu, 2021. "Need for speed: High-speed rail and firm performance," Journal of Corporate Finance, Elsevier, vol. 66(C).
    16. Jin, Mengjie & Shi, Wenming & Liu, Yu & Xu, Xiaoling & Li, Kevin X., 2022. "Heterogeneous impact of high speed railway on income distribution: A case study in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    17. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    18. Wong, Zoey & Li, Rongrong & Peng, Dan & Kong, Qunxi, 2021. "China-european railway, investment heterogeneity, and the quality of urban economic growth," International Review of Financial Analysis, Elsevier, vol. 78(C).
    19. Li, Bin & Zhao, Qizi & Shahab, Yasir & Kumar, Satish, 2023. "High-speed rail construction and labor investment efficiency: Evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 64(C).
    20. Po Kou & Ying Han & Xiaoyuan Qi & Yuanxian Li, 2022. "Does China's policy of carbon emission trading deliver sulfur dioxide reduction co-benefits?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6224-6245, May.
    21. Dong, Yan & Huang, Jun & Wu, Ji, 2023. "Does high-speed rail affect the agglomeration of banks in China?," Emerging Markets Review, Elsevier, vol. 56(C).
    22. Li, Chunying & Zhang, Jinning & Lyu, Yanwei, 2022. "Does the opening of China railway express promote urban total factor productivity? New evidence based on SDID and SDDD model," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    23. Xiao Ke & Justin Yifu Lin & Caihui Fu & Yong Wang, 2020. "Transport Infrastructure Development and Economic Growth in China: Recent Evidence from Dynamic Panel System-GMM Analysis," Sustainability, MDPI, vol. 12(14), pages 1-22, July.
    24. Gao, Yanyan & Zheng, Jianghuai, 2020. "The impact of high-speed rail on innovation: An empirical test of the companion innovation hypothesis of transportation improvement with China’s manufacturing firms," World Development, Elsevier, vol. 127(C).
    25. Chen, Fanglin & Chen, Zhongfei, 2023. "High-speed rail and happiness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    26. He, Xi, 2023. "Dams, cropland productivity, and economic development in China," China Economic Review, Elsevier, vol. 81(C).
    27. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    28. Di Matteo, Dante & Mariotti, Ilaria & Rossi, Federica, 2023. "Transport infrastructure and economic performance: An evaluation of the Milan-Bologna high-speed rail corridor," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    29. Liaoliao Duan & Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2021. "Transportation infrastructure and capital mobility: evidence from China’s high-speed railways," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 617-648, December.
    30. Wei Fan & Hongtao Xue & Cai Yi & Zhenying Xu, 2021. "TQWT-assisted statistical process control method for condition monitoring and fault diagnosis of bearings in high-speed rail," Journal of Risk and Reliability, , vol. 235(2), pages 230-240, April.
    31. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    32. Li, Shaoshuai & Li, Zhigang & Yuan, Jia, 2020. "Examining the impact of high-speed railways on land value and government revenue: Evidence from China," China Economic Review, Elsevier, vol. 63(C).
    33. Zhang, Anqi & Liu, Lihua & Liu, Guangqiang, 2020. "High-speed rail, tourist mobility, and firm value," Economic Modelling, Elsevier, vol. 90(C), pages 108-116.
    34. Wan, Liyang & Wan, Qian, 2022. "High-speed railway and the intercity transmission of epidemics: Evidence from COVID-19 in China," Economic Modelling, Elsevier, vol. 114(C).
    35. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    36. Changsheng Xiong & Yu Tian & Xue Liu & Rong Tan & Qiaolin Luan, 2022. "The Different Impacts of Airports on the Ecological Environment under Distinct Institutional Contexts," Land, MDPI, vol. 11(2), pages 1-18, February.
    37. Kong, Dongmin & Liu, Lihua & Liu, Shasha, 2020. "Market information traveling on high-speed rails: The case of analyst forecasts," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    38. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    39. Chen, Hongwen & Cheng, Ken & Zhang, Meiyang, 2023. "Does geographic proximity affect firms’ cross-regional development? Evidence from high-speed rail construction in China," Economic Modelling, Elsevier, vol. 126(C).
    40. Kong, Dongmin & Liu, Lihua & Yang, Zhiqing, 2021. "High-speed rails and rural-urban migrants’ wages," Economic Modelling, Elsevier, vol. 94(C), pages 1030-1042.
    41. Jun‐Teng Ma & Tie‐Ying Liu, 2022. "Does the high‐speed rail network improve economic growth?," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 183-208, February.
    42. Kaan Celebi, 2020. "Quo Vadis, Britain? - Implications of the Brexit Process on the UK's Real Economy," EIIW Discussion paper disbei268, Universitätsbibliothek Wuppertal, University Library.
    43. Ma, Liya & Niu, Dongxiao & Sun, Weizeng, 2021. "Transportation infrastructure and entrepreneurship: Evidence from high-speed railway in China," China Economic Review, Elsevier, vol. 65(C).
    44. Jia, Ruining & Shao, Shuai & Yang, Lili, 2021. "High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach," Energy Economics, Elsevier, vol. 99(C).
    45. Chen, Fanglin & Hao, Xinyue & Chen, Zhongfei, 2021. "Can high-speed rail improve health and alleviate health inequality? Evidence from China," Transport Policy, Elsevier, vol. 114(C), pages 266-279.
    46. Shuai Liu & Guoxin Jiang & Le Chang & Lin Wang, 2022. "Can the Smart City Pilot Policy Promote High-Quality Economic Development? A Quasi-Natural Experiment Based on 239 Cities in China," Sustainability, MDPI, vol. 14(23), pages 1-17, November.
    47. Xu, Fei & Li, Qiangyi & Yang, Mian, 2022. "The impacts of high-speed rail on the transformation of resource-based cities in China: A market segmentation perspective," Resources Policy, Elsevier, vol. 78(C).
    48. Weidong Li & Xuefang Wang & Olli-Pekka Hilmola, 2020. "Does High-Speed Railway Influence Convergence of Urban-Rural Income Gap in China?," Sustainability, MDPI, vol. 12(10), pages 1-14, May.
    49. Li, Zekun & Chen, Zhenhua, 2023. "Predicting the future development scale of high-speed rail through the urban scaling law," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    50. Yu, Danlin & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Li, Guangdong, 2021. "The varying effects of accessing high-speed rail system on China’s county development: A geographically weighted panel regression analysis," Land Use Policy, Elsevier, vol. 100(C).
    51. Wang, Ke-Liang & Jiang, Wei & Miao, Zhuang, 2023. "Impact of high-speed railway on urban resilience in China: Does urban innovation matter?," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    52. Wu, Shuping & Han, Dan, 2022. "Accessibility of high-speed rail (HSR) stations and HSR–air competition: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 262-284.
    53. Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    54. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    55. Yuan, Hang & Guan, Zhihua & Jiang, Changmin & Yang, Hangjun, 2023. "Peer effect in the construction of China’s high-speed rail stations: Empirical evidence from spatial econometric analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    56. Dongxiao Niu & Weizeng Sun & Siqi Zheng, 2020. "Travel costs, trade, and market segmentation: Evidence from China's high‐speed railway," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1799-1825, December.
    57. Gao, Yanyan & Zheng, Jianghuai & Wang, Xin, 2022. "Does high-speed rail reduce environmental pollution? Establishment-level evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    58. Wang, Yao & Dong, Weijia, 2022. "How China's high-speed rail promote local economy: New evidence from county-level panel data," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 67-81.
    59. Yuan, Liang & Fan, Xiaoming, 2023. "As a Chinese saying goes, ‘To get rich, first pave the way’: The opening of high-speed rail and automobile consumption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    60. Zhang, Xueliang & Hu, Yuqi & Lin, Yongran, 2020. "The influence of highway on local economy: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 82(C).
    61. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    62. Rong Wang & Li Ye & Liwen Chen, 2019. "The Impact of High-Speed Rail on Housing Prices: Evidence from China’s Prefecture-Level Cities," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    63. Zhang, Shaopeng & Wang, Xiaohong, 2022. "Does innovative city construction improve the industry–university–research knowledge flow in urban China?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    64. Wang, Yanan & Liang, Shangkun & Kong, Dongmin & Wang, Qin, 2019. "High-speed rail, small city, and cost of debt: Firm-level evidence," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    65. 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.
    66. Shujie Yao & Jing Fang & Hongbo He, 2020. "Can Time–Space Compression Promote Urban Economic Growth? Evidence from China's High‐speed Rail Projects," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 90-117, September.
    67. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.

  12. Cheng Hsiao & Qiankun Zhou, 2016. "Asymptotic distribution of quasi-maximum likelihood estimation of dynamic panels using long difference transformation when both N and T are large," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 675-683, November.

    Cited by:

    1. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.

  13. Hsiao, Cheng & Zhang, Junwei, 2015. "IV, GMM or likelihood approach to estimate dynamic panel models when either N or T or both are large," Journal of Econometrics, Elsevier, vol. 187(1), pages 312-322.

    Cited by:

    1. Dhaene, Geert & Jochmans, Koen, 2016. "Bias-corrected estimation of panel vector autoregressions," Economics Letters, Elsevier, vol. 145(C), pages 98-103.
    2. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    3. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.
    4. Kim, Alex Jiyoung & Jang, Sungha & Shin, Hyun S., 2021. "How should retail advertisers manage multiple keywords in paid search advertising?," Journal of Business Research, Elsevier, vol. 130(C), pages 539-551.
    5. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    6. Wang, Quan-Jing & Sun, Yi-Hong, 2022. "The impact of governmental ideology on forest preservation: Evidence from cross-country data," Land Use Policy, Elsevier, vol. 119(C).
    7. Seo, Myung Hwan & Shin, Yongcheol, 2016. "Dynamic panels with threshold effect and endogeneity," Journal of Econometrics, Elsevier, vol. 195(2), pages 169-186.
    8. Leonardo A. Rocha & Denis Vieira Sarmento & Carlos Alano S. Almeida & Napiê G.A. Silva, 2020. "Spillover, public investment and innovation: the impact of public investment in R&D on business innovation," Economics Bulletin, AccessEcon, vol. 40(3), pages 2344-2360.
    9. Duttagupta, Rupa & Narita, Futoshi, 2017. "Emerging and developing economies: Entering a rough patch or protracted low gear?," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 680-698.
    10. Carbajal-De-Nova, Carolina, 2017. "A proposed method to estimate dynamic panel models when either N or T or both are not large," MPRA Paper 93100, University Library of Munich, Germany, revised 02 Sep 2017.
    11. Cheng Hsiao & Qiankun Zhou, 2016. "Asymptotic distribution of quasi-maximum likelihood estimation of dynamic panels using long difference transformation when both N and T are large," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(4), pages 675-683, November.
    12. Rocha, Leonardo Andrade & Silva, Napiê Galvê Araújo & Almeida, Carlo Alano Soares de & Oliveira, Denison Murilo de & Fernandes, Kaio César, 2020. "Growth and heterogeneity of human capital: effects of the expansion of higher education on the income increase in Brazilian municipalities," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    13. Adrian Mehic, 2021. "FDML versus GMM for Dynamic Panel Models with Roots Near Unity," JRFM, MDPI, vol. 14(9), pages 1-9, August.
    14. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "Synthetic Estimation of Dynamic Panel Models When Either N or T or Both Are Not Large: Bias Decomposition in Systematic and Random Components," MPRA Paper 94405, University Library of Munich, Germany.

  14. 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. Kruse Robinson & Ventosa-Santaulària Daniel & Noriega Antonio E., 2017. "Changes in persistence, spurious regressions and the Fisher hypothesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-28, June.
    2. 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.

  15. HSIAO, Cheng & SHEN, Yan & BIAN, Wenlong, 2015. "Evaluating the effectiveness of China's financial reform—The efficiency of China's domestic banks," China Economic Review, Elsevier, vol. 35(C), pages 70-82.
    See citations under working paper version above.
  16. Lin Zhang & Zaichao Du & Cheng Hsiao & Hua Yin, 2015. "The Macroeconomic Effects of the Canada–US Free Trade Agreement on Canada: A Counterfactual Analysis," The World Economy, Wiley Blackwell, vol. 38(5), pages 878-892, May.

    Cited by:

    1. 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).
    2. Fengyu Cheng & Jianping Liao & Kenichiro Soyano & Feiling Lu, 2023. "The Impact of Automobile Purchase Restriction on Urban Air Quality: Experimental Evidence from Beijing, China," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 109-124, February.
    3. Yin, Hua & Du, Zaichao & Zhang, Lin, 2018. "Assessing the gains and vulnerability of free trade: A counterfactual analysis of Macau," Economic Modelling, Elsevier, vol. 70(C), pages 147-158.
    4. 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.

  17. Fujiki, Hiroshi & Hsiao, Cheng, 2015. "Disentangling the effects of multiple treatments—Measuring the net economic impact of the 1995 great Hanshin-Awaji earthquake," Journal of Econometrics, Elsevier, vol. 186(1), pages 66-73.
    See citations under working paper version above.
  18. 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.

    Cited by:

    1. Morrison, Michael & Fontenla, Matías, 2017. "Purchasing power parity across eight worlds," Economics Letters, Elsevier, vol. 158(C), pages 62-66.
    2. Thomas L Bradley & Paul B Eberle, 2023. "Purchasing Power Parity In Russia And The Transitioning Economy 1990-1995," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 31, pages 85-111, June.
    3. Ramon E. Lopez & Kevin Sepulveda, 2022. "¿Cual es el efecto de shocks de demanda interna sobre la inflacion en una economia pequena y abierta? Chile 2000-2021," Working Papers wp529, University of Chile, Department of Economics.
    4. Haiqi Li Author-Name-First: Haiqi & Jing Zhang & Chaowen Zheng, 2023. "Estimating and Testing for Functional Coefficient Quantile Cointegrating Regression," Economics Discussion Papers em-dp2023-07, Department of Economics, University of Reading.
    5. López, Ramón & Sepúlveda, Kevin A., 2022. "The effects of domestic demand shocks on inflation in a small open economy: Chile in the period 2000–2021," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    6. Winston Moore & Jeremy Stephen & Caroline Elliott, 2016. "Should cryptocurrencies be included in the portfolio of international reserves held by central banks?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1147119-114, December.
    7. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.
    8. 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.

  19. Hsiao, Cheng & Zhou, Qiankun, 2015. "Statistical inference for panel dynamic simultaneous equations models," Journal of Econometrics, Elsevier, vol. 189(2), pages 383-396.

    Cited by:

    1. Cheng Hsiao & Qiankun Zhou, 2017. "JIVE for Panel Dynamic Simultaneous Equations Models," Departmental Working Papers 2017-10, Department of Economics, Louisiana State University.
    2. Chihhao Fan & Chun-Yueh Lin & Ming-Che Hu, 2019. "Empirical Framework for a Relative Sustainability Evaluation of Urbanization on the Water–Energy–Food Nexus Using Simultaneous Equation Analysis," IJERPH, MDPI, vol. 16(6), pages 1-18, March.
    3. Hsiao, Cheng, 2018. "Panel models with interactive effects," Journal of Econometrics, Elsevier, vol. 206(2), pages 645-673.
    4. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    5. Dennis Gaus & Heike Link, 2020. "Economic Effects of Transportation Infrastructure Quantity and Quality: A Study of German Counties," Discussion Papers of DIW Berlin 1848, DIW Berlin, German Institute for Economic Research.
    6. Hsiao, Cheng & Zhou, Qiankun, 2018. "Incidental parameters, initial conditions and sample size in statistical inference for dynamic panel data models," Journal of Econometrics, Elsevier, vol. 207(1), pages 114-128.
    7. Cobo-Reyes, Ramón & Katz, Gabriel & Meraglia, Simone, 2019. "Endogenous sanctioning institutions and migration patterns: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 575-606.
    8. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    9. Ling, S. & McAleer, M.J. & Tong, H., 2015. "Frontiers in Time Series and Financial Econometrics," Econometric Institute Research Papers EI 2015-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    11. Yonghui Zhang & Qiankun Zhou, 2017. "Estimation for time-invariant effects in dynamic panel data models with application to income dynamics," Departmental Working Papers 2017-12, Department of Economics, Louisiana State University.
    12. Shiqing Ling & Michael McAleer & Howell Tong, 2015. "Frontiers in Time Series and Financial Econometrics: An Overview," Documentos de Trabajo del ICAE 2015-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  20. 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.

    Cited by:

    1. Kruse Robinson & Ventosa-Santaulària Daniel & Noriega Antonio E., 2017. "Changes in persistence, spurious regressions and the Fisher hypothesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-28, June.
    2. 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.

  21. Hsiao, Cheng & Wan, Shui Ki, 2014. "Is there an optimal forecast combination?," Journal of Econometrics, Elsevier, vol. 178(P2), pages 294-309.

    Cited by:

    1. Pinto, Jeronymo Marcondes & Marçal, Emerson Fernandes, 2019. "Cross-validation based forecasting method: a machine learning approach," Textos para discussão 498, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    2. Qingfeng Liu & Qingsong Yao & Guoqing Zhao, 2020. "Model averaging estimation for conditional volatility models with an application to stock market volatility forecast," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 841-863, August.
    3. Wang, Cindy S.H. & Fan, Rui & Xie, Yiqiang, 2023. "Market systemic risk, predictability and macroeconomics news," Finance Research Letters, Elsevier, vol. 56(C).
    4. 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.
    5. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
    6. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    7. Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2014. "Forecast combinations in a DSGE-VAR lab," Economics Series 309, Institute for Advanced Studies.
    8. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    9. Wang, Jue & Wang, Zhen & Li, Xiang & Zhou, Hao, 2022. "Artificial bee colony-based combination approach to forecasting agricultural commodity prices," International Journal of Forecasting, Elsevier, vol. 38(1), pages 21-34.
    10. Till Weigt & Bernd Wilfling, 2018. "An approach to increasing forecast-combination accuracy through VAR error modeling," CQE Working Papers 6818, Center for Quantitative Economics (CQE), University of Muenster.
    11. James Younker, 2022. "Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models," Discussion Papers 2022-19, Bank of Canada.
    12. Fantazzini, Dean, 2020. "Short-term forecasting of the COVID-19 pandemic using Google Trends data: Evidence from 158 countries," MPRA Paper 102315, University Library of Munich, Germany.
    13. Vitor Azevedo & Georg Sebastian Kaiser & Sebastian Mueller, 2023. "Stock market anomalies and machine learning across the globe," Journal of Asset Management, Palgrave Macmillan, vol. 24(5), pages 419-441, September.
    14. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    15. Martin Guth, 2022. "Predicting Default Probabilities for Stress Tests: A Comparison of Models," Papers 2202.03110, arXiv.org.
    16. Adusei Jumah & Robert M. Kunst, 2016. "Optimizing time-series forecasts for inflation and interest rates using simulation and model averaging," Applied Economics, Taylor & Francis Journals, vol. 48(45), pages 4366-4378, September.
    17. Xiufeng Xing & Xueying Zhang, 2020. "Spillovers of Urban Road Infrastructure Investment and Operation: a Case Study Using Synthetic Control Method," Business, Management and Economics Research, Academic Research Publishing Group, vol. 6(10), pages 127-134, 10-2020.
    18. Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.
    19. Larissa Koupriouchina & Jean-Pierre van der Rest & Zvi Schwartz, 2023. "Judgmental Adjustments of Algorithmic Hotel Occupancy Forecasts: Does User Override Frequency Impact Accuracy at Different Time Horizons?," Tourism Economics, , vol. 29(8), pages 2143-2164, December.
    20. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    21. Jonathan Berrisch & Florian Ziel, 2021. "CRPS Learning," Papers 2102.00968, arXiv.org, revised Nov 2021.
    22. Lycheva, Maria & Mironenkov, Alexey & Kurbatskii, Alexey & Fantazzini, Dean, 2022. "Forecasting oil prices with penalized regressions, variance risk premia and Google data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 28-49.
    23. Fantazzini, Dean & Pushchelenko, Julia & Mironenkov, Alexey & Kurbatskii, Alexey, 2021. "Forecasting internal migration in Russia using Google Trends: Evidence from Moscow and Saint Petersburg," MPRA Paper 110452, University Library of Munich, Germany.
    24. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2015. "On the Forecast Combination Puzzle," Papers 1505.00475, arXiv.org.
    25. Mergani A. Khairalla & Xu Ning & Nashat T. AL-Jallad & Musaab O. El-Faroug, 2018. "Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model," Energies, MDPI, vol. 11(6), pages 1-21, June.
    26. Massimiliano Giacalone, 2022. "Optimal forecasting accuracy using Lp-norm combination," METRON, Springer;Sapienza Università di Roma, vol. 80(2), pages 187-230, August.
    27. Chan, Felix & Pauwels, Laurent L., 2018. "Some theoretical results on forecast combinations," International Journal of Forecasting, Elsevier, vol. 34(1), pages 64-74.
    28. Gerda Claeskens & Jan Magnus & Andrey Vasnev & Wendun Wang, 2014. "The Forecast Combination Puzzle: A Simple Theoretical Explanation," Tinbergen Institute Discussion Papers 14-127/III, Tinbergen Institute.
    29. Zhentao Shi & Liangjun Su & Tian Xie, 2020. "L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis," Papers 2010.09477, arXiv.org, revised Aug 2022.
    30. Thangjam, Aditya & Jaipuria, Sanjita & Dadabada, Pradeep Kumar, 2023. "Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks," Applied Energy, Elsevier, vol. 333(C).
    31. 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.
    32. Shui Ki Wan & Cheng Hsiao & Qiankun Zhou, 2021. "Can a time-varying structure provide a more robust panel construction of counterfactuals-straitjacket or straitjackets?," Empirical Economics, Springer, vol. 60(1), pages 113-129, January.
    33. Li, Sujuan & Liu, Jiaguo & Kong, Yudan, 2021. "Pilot free trade zones and Chinese port-listed companies performance: An empirical research based on quasi-natural experiment," Transport Policy, Elsevier, vol. 111(C), pages 125-137.
    34. Kajal Lahiri & Liu Yang, 2023. "Predicting binary outcomes based on the pair-copula construction," Empirical Economics, Springer, vol. 64(6), pages 3089-3119, June.
    35. Adriano Koshiyama & Nick Firoozye & Philip Treleaven, 2019. "Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination," Papers 1901.01751, arXiv.org, revised Mar 2019.
    36. Bravo, Jorge M. & Ayuso, Mercedes & Holzmann, Robert & Palmer, Edward, 2021. "Addressing the life expectancy gap in pension policy," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 200-221.
    37. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    38. Xing, Li-Min & Zhang, Yue-Jun, 2022. "Forecasting crude oil prices with shrinkage methods: Can nonconvex penalty and Huber loss help?," Energy Economics, Elsevier, vol. 110(C).
    39. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    40. Beltrán, Sergio & Castro, Alain & Irizar, Ion & Naveran, Gorka & Yeregui, Imanol, 2022. "Framework for collaborative intelligence in forecasting day-ahead electricity price," Applied Energy, Elsevier, vol. 306(PA).
    41. Ma, Feng & Li, Yu & Liu, Li & Zhang, Yaojie, 2018. "Are low-frequency data really uninformative? A forecasting combination perspective," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 92-108.
    42. Chen, Guojin & Liu, Yanzhen & Zhang, Yu, 2021. "Systemic risk measures and distribution forecasting of macroeconomic shocks," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 178-196.
    43. Wenting Zhao & Juanjuan Zhao & Xilong Yao & Zhixin Jin & Pan Wang, 2019. "A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand," Energies, MDPI, vol. 12(7), pages 1-28, April.
    44. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    45. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2019. "On the Forecast Combination Puzzle," Econometrics, MDPI, vol. 7(3), pages 1-26, September.
    46. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
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    Cited by:

    1. 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.
    2. Zhou, Yonghong & Zheng, Xian & Yuan, Ziqing, 2022. "Trade liberalization and wages: Evidence from the closer economic partnership arrangement between mainland China and Hong Kong," Research in International Business and Finance, Elsevier, vol. 61(C).
    3. Yun Zhong & Xiaobo Su, 2019. "Spatial selectivity and intercity cooperation between Guangdong and Hong Kong," Urban Studies, Urban Studies Journal Limited, vol. 56(14), pages 3011-3029, November.
    4. Fengyu Cheng & Jianping Liao & Kenichiro Soyano & Feiling Lu, 2023. "The Impact of Automobile Purchase Restriction on Urban Air Quality: Experimental Evidence from Beijing, China," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 109-124, February.
    5. 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).
    6. 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.

  24. Cheng Hsiao, 2012. "The Creative Tension Between Statistics And Economics," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 57(03), pages 1-11.

    Cited by:

    1. Hsiao, Cheng & Wan, Shui Ki, 2014. "Is there an optimal forecast combination?," Journal of Econometrics, Elsevier, vol. 178(P2), pages 294-309.

  25. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.

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    1. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    2. Marçal, Emerson Fernandes & Cunha, Ronan & Merlin, Giovanni Tondin & Simões, Oscar, 2017. "The aftermath of 2008 turmoil on Brazilian economy: Tsunami or “Marolinha”?," Textos para discussão 459, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    3. Rohan Sweeney & Duncan Mortimer, 2016. "Has the Swap Influenced Aid Flows in the Health Sector?," Health Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 559-577, May.
    4. 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.
    5. Gobillon, Laurent & Magnac, Thierry, 2013. "Regional Policy Evaluation:Interactive Fixed Effects and Synthetic Controls," TSE Working Papers 13-419, Toulouse School of Economics (TSE).
    6. Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis, 2020. "A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1437-1459, October.
    7. 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.
    8. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2014. "Sticky prices or economically-linked economies: The case of forecasting the Chinese stock market," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 95-109.
    9. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
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    11. Susan Athey & Mohsen Bayati & Nikolay Doudchenko & Guido Imbens & Khashayar Khosravi, 2017. "Matrix Completion Methods for Causal Panel Data Models," Papers 1710.10251, arXiv.org, revised Apr 2022.
    12. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
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    42. Fengyu Cheng & Jianping Liao & Kenichiro Soyano & Feiling Lu, 2023. "The Impact of Automobile Purchase Restriction on Urban Air Quality: Experimental Evidence from Beijing, China," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 109-124, February.
    43. Viviano, Davide & Bradic, Jelena, 2023. "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, vol. 234(2), pages 691-713.
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    52. Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
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    114. Kaan Celebi & Paul J.J. Welfens, 2020. "The Economic Impact of Trump: Conclusions from an Impact Evaluation Analysis," EIIW Discussion paper disbei281, Universitätsbibliothek Wuppertal, University Library.
    115. Brantly Callaway, 2022. "Difference-in-Differences for Policy Evaluation," Papers 2203.15646, arXiv.org.
    116. 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.
    117. Yu, Danlin & Murakami, Daisuke & Zhang, Yaojun & Wu, Xiwei & Li, Ding & Wang, Xiaoxi & Li, Guangdong, 2020. "Investigating high-speed rail construction's support to county level regional development in China: An eigenvector based spatial filtering panel data analysis," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 21-37.
    118. Feng Liu & Yu Fu & Weiguo Wang, 2023. "Heterogeneous Effects of China’s Carbon Market on Carbon Emissions—Evidence from a Regression Control Method," Sustainability, MDPI, vol. 16(1), pages 1-20, December.

  26. Cheng Hsiao & M. Hashem Pesaran & Andreas Pick, 2012. "Diagnostic Tests of Cross‐section Independence for Limited Dependent Variable Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 253-277, April.

    Cited by:

    1. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    2. Simone BERTOLI & Jesús FERNÁNDEZ-HUERTAS MORAGA, 2014. "Visa Policies, Networks and the Cliff at the Border," Working Papers 201427, CERDI.
    3. Freitag, L., 2014. "Procyclicality and path dependence of sovereign credit ratings: The example of Europe," Research Memorandum 020, Maastricht University, Graduate School of Business and Economics (GSBE).
    4. WenShwo Fang & Stephen M. Miller & Chih-Chuan Yeh, 2012. "The effect of ECSOs on energy use," Working papers 2012-13, University of Connecticut, Department of Economics.
    5. Alexander Chudik & M. Hashem Pesaran, 2013. "Large panel data models with cross-sectional dependence: a survey," Globalization Institute Working Papers 153, Federal Reserve Bank of Dallas.
    6. Bilgehan TEKİN & Yusuf GÖR, 2022. "Cash conversion cycle and its relationship with profitability as a cash management tool in companies: An application on companies trading in Borsa Istanbul," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(632), A), pages 113-130, Autumn.
    7. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "Estimation of Cross-Sectional Dependence in Large Panels," Papers 1904.06843, arXiv.org.
    8. Freitag L., 2014. "Default probabilities, CDS premiums and downgrades : A probit-MIDAS analysis," Research Memorandum 038, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. Badi H. Baltagi & Qu Feng & Chihwa Kao, 2015. "Estimation of Heterogeneous Panels with Structural Breaks," Center for Policy Research Working Papers 179, Center for Policy Research, Maxwell School, Syracuse University.
    10. Jeetendra Khadan & Amrita Deonarine, 2019. "Testing the Inter-temporal Budget Constraint for Small States," Economics Bulletin, AccessEcon, vol. 39(2), pages 1176-1183.
    11. Badi H. Baltagi & Chihwa Kao & Bin Peng, 2016. "Testing Cross-Sectional Correlation in Large Panel Data Models with Serial Correlation," Econometrics, MDPI, vol. 4(4), pages 1-24, November.
    12. Ludo Peeters & Coro Chasco, 2016. "Identifying local determinants of destination choices of international immigrants to the Madrid metropolitan area," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 281-307, June.
    13. Fethi, Sami & Rahuma, Abdulhamid, 2020. "The impact of eco-innovation on CO2 emission reductions: Evidence from selected petroleum companies," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 108-115.
    14. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    15. Bertoli, Simone & Fernández-Huertas Moraga, Jesús, 2015. "The size of the cliff at the border," Regional Science and Urban Economics, Elsevier, vol. 51(C), pages 1-6.
    16. Jeetendra Khadan & Amrita Deonarine, 2020. "Sustainability of current account balances in small states," Economics and Business Letters, Oviedo University Press, vol. 9(1), pages 14-20.
    17. Long Feng & Tiefeng Jiang & Binghui Liu & Wei Xiong, 2020. "Max-sum tests for cross-sectional dependence of high-demensional panel data," Papers 2007.03911, arXiv.org.
    18. Jiti Gao & Guangming Pan & Yanrong Yang, 2016. "CEstimation of Structural Breaks in Large Panels with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 12/16, Monash University, Department of Econometrics and Business Statistics.
    19. Jiti Gao & Guangming Pan & Yanrong Yang & Bo Zhang, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 9/19, Monash University, Department of Econometrics and Business Statistics.

  27. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    See citations under working paper version above.
  28. Harry Haupt & Cheng Hsiao, 2011. "Introduction to the special issue: interdisciplinary aspects of panel data analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 325-327, December.

    Cited by:

    1. Göran Kauermann & Thomas Kneib & Yarema Okhrin, 2020. "Editorial," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 104(1), pages 1-3, March.

  29. H. Steve Ching & Cheng Hsiao & Shui Ki Wan & Tongsan Wang, 2011. "Economic Benefits Of Globalization: The Impact Of Entry To The Wto On China'S Growth," Pacific Economic Review, Wiley Blackwell, vol. 16(3), pages 285-301, August.

    Cited by:

    1. Cheng Hsiao & Yan Shen & Wenlong Bian, 2016. "Evaluating the Effectiveness of China's Financial Reform The Efficiency of China's Domestic Banks," Working Papers 2016-02-21, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    2. Fang, Lei & Cheng, Jiang & Su, Fang, 2019. "Interconnectedness and systemic risk: A comparative study based on systemically important regions," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 147-158.
    3. Agus Dwi Nugroho & Zoltan Lakner, 2022. "Impact of economic globalisation on agriculture in developing countries: A review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(5), pages 180-188.
    4. Guo, Jiahong & Lai, Xiaoying & Lu, Chenxi & Cao, Shixiong, 2022. "What has caused China’s economic growth?," Economic Systems, Elsevier, vol. 46(2).
    5. Chien-Chiang Lee & Chi-Chuan Lee & Chun-Ping Chang, 2015. "Globalization, Economic Growth and Institutional Development in China," Global Economic Review, Taylor & Francis Journals, vol. 44(1), pages 31-63, March.
    6. M. Maqbool-ur-Rahman, 2015. "Impacts Of Globalization On Economic Growth - Evidence From Selected South Asian Countries," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(1), pages 185-204, March.
    7. Ka-fu Wong & Miaojie Yu, 2015. "Democracy and Accession to GATT/WTO," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 843-859, November.
    8. Faqin Lin, 2017. "Credit Constraints, Export Mode and Firm Performance: An Investigation of China's Private Enterprises," Pacific Economic Review, Wiley Blackwell, vol. 22(1), pages 123-143, February.

  30. 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. Gu, Jingping & Liang, Zhongwen, 2014. "Testing cointegration relationship in a semiparametric varying coefficient model," Journal of Econometrics, Elsevier, vol. 178(P1), pages 57-70.
    2. Kruse Robinson & Ventosa-Santaulària Daniel & Noriega Antonio E., 2017. "Changes in persistence, spurious regressions and the Fisher hypothesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-28, June.
    3. 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.
    4. 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.
    5. 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.

  31. Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.

    Cited by:

    1. Susanne M. Schennach, 2012. "Measurement error in nonlinear models - a review," CeMMAP working papers CWP41/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Susanne M. Schennach, 2013. "Convolution without independence," CeMMAP working papers CWP46/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Andrei Zeleneev & Kirill Evdokimov, 2023. "Simple estimation of semiparametric models with measurement errors," CeMMAP working papers 10/23, Institute for Fiscal Studies.
    4. Kirill S. Evdokimov & Andrei Zeleneev, 2023. "Simple Estimation of Semiparametric Models with Measurement Errors," Papers 2306.14311, arXiv.org, revised Mar 2024.
    5. Jingxuan Luo & Lili Yue & Gaorong Li, 2023. "Overview of High-Dimensional Measurement Error Regression Models," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    6. Zhang, Jun & Feng, Zhenghui & Zhou, Bu, 2014. "A revisit to correlation analysis for distortion measurement error data," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 116-129.
    7. Taraneh Abarin & Liqun Wang, 2012. "Instrumental variable approach to covariate measurement error in generalized linear models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 475-493, June.
    8. Michele De Nadai & Arthur Lewbel, 2012. "Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation," Boston College Working Papers in Economics 790, Boston College Department of Economics, revised 01 Jul 2013.
    9. Naoto Kunitomo & Michael McAleer & Yoshihiko Nishiyama, 2010. "Moment Restriction-based Econometric Methods: An Overview," KIER Working Papers 734, Kyoto University, Institute of Economic Research.
    10. Kun Xu & Yanyuan Ma & Liqun Wang, 2015. "Instrument Assisted Regression for Errors in Variables Models with Binary Response," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(1), pages 104-117, March.
    11. Anish Agarwal & Rahul Singh, 2021. "Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy," Papers 2107.02780, arXiv.org, revised Feb 2024.
    12. ZINDE-WALSH, Victoria, 2007. "Errors-in-Variables Models : A Generalized Functions Approach," Cahiers de recherche 14-2007, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

  32. Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
    See citations under working paper version above.
  33. Hsiao, Cheng & Wan, Shui Ki, 2011. "Comparison of forecasting methods with an application to predicting excess equity premium," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1235-1246.

    Cited by:

    1. Guglielmo Maria Caporale & Luis A. Gil-Alana & Miguel Martin-Valmayor, 2021. "Persistence in the market risk premium: evidence across countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(3), pages 413-427, July.

  34. Damrongplasit, Kannika & Hsiao, Cheng & Zhao, Xueyan, 2010. "Decriminalization and Marijuana Smoking Prevalence: Evidence From Australia," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(3), pages 344-356.

    Cited by:

    1. Gunadi, Christian, 2021. "Does Expanding Access to Cannabis Affect Traffic Crashes? County-Level Evidence from Recreational Marijuana Dispensary Sales in Colorado," GLO Discussion Paper Series 964, Global Labor Organization (GLO).
    2. D. Mark Anderson & Benjamin Hansen & Daniel I. Rees, 2015. "Medical Marijuana Laws and Teen Marijuana Use," American Law and Economics Review, American Law and Economics Association, vol. 17(2), pages 495-528.
    3. Félix, Sónia & Portugal, Pedro, 2015. "Drug Decriminalization and the Price of Illicit Drugs," IZA Discussion Papers 8848, Institute of Labor Economics (IZA).
    4. Anne Line Bretteville-Jensen & Jenny Williams, 2011. "Decriminalization and Initiation into Cannabis Use," Department of Economics - Working Papers Series 1130, The University of Melbourne.
    5. Niko de Silva & Benno Torgler, 2011. "Smoke Signals and Mixed Messages: Medical Marijuana & Drug Policy Signalling Effects," CREMA Working Paper Series 2011-18, Center for Research in Economics, Management and the Arts (CREMA).
    6. Jérôme Adda & Brendon McConnell & Imran Rasul, 2014. "Crime and the Depenalization of Cannabis Possession: Evidence from a Policing Experiment," Journal of Political Economy, University of Chicago Press, vol. 122(5), pages 1130-1202.
    7. Williams, Jenny & Bretteville-Jensen, Anne Line, 2014. "Does liberalizing cannabis laws increase cannabis use?," Journal of Health Economics, Elsevier, vol. 36(C), pages 20-32.
    8. Paula Albuquerque & José Passos, 2010. "Grandparents and women's participation in the labor market," Working Papers Department of Economics 2010/16, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    9. Christian Gunadi, 2022. "Does expanding access to cannabis affect traffic crashes? County‐level evidence from recreational marijuana dispensary sales in Colorado," Health Economics, John Wiley & Sons, Ltd., vol. 31(10), pages 2244-2268, October.
    10. Adda, Jérôme & McConnell, Brendon & Rasul, Imran, 2014. "Crime and the depenalization of cannabis possession: evidence," Economics Working Papers ECO2014/05, European University Institute.
    11. Liana Jacobi & Michelle Sovinsky, 2012. "Marijuana on main street: What if?," ECON - Working Papers 087, Department of Economics - University of Zurich.
    12. Ching, Steve & Hsiao, Cheng & Wan, Shui Ki, 2012. "Impact of CEPA on the labor market of Hong Kong," China Economic Review, Elsevier, vol. 23(4), pages 975-981.

  35. Nauro Campos & Cheng Hsiao & Jeffrey Nugent, 2010. "Crises, What Crises? New Evidence on the Relative Roles of Political and Economic Crises in Begetting Reforms," Journal of Development Studies, Taylor & Francis Journals, vol. 46(10), pages 1670-1691.

    Cited by:

    1. Samuel Brazys & Krishna Chaitanya Vadlamannati, 2021. "Aid curse with Chinese characteristics? Chinese development flows and economic reforms," Public Choice, Springer, vol. 188(3), pages 407-430, September.
    2. Delphine Irac & Jimmy Lopez, 2015. "Euro area structural convergence? A multi-criterion cluster analysis," International Economics, CEPII research center, issue 143, pages 1-22.
    3. Rod Falvey & Neil Foster & David Greenaway, 2008. "Trade Liberalisation, Economic Crises and Growth," Discussion Papers 08/14, University of Nottingham, GEP.
    4. Prato, Carlo & Wolton, Stephane, 2017. "Rational ignorance, populism, and reform," LSE Research Online Documents on Economics 86371, London School of Economics and Political Science, LSE Library.
    5. Ana Carolina Garriga, 2017. "Regulatory lags, liberalization, and vulnerability to banking crises," Regulation & Governance, John Wiley & Sons, vol. 11(2), pages 143-165, June.
    6. Campos, Nauro F. & De Grauwe, Paul & Ji, Yuemei, 2017. "Structural Reforms, Growth and Inequality: An Overview of Theory, Measurement and Evidence," IZA Discussion Papers 11159, Institute of Labor Economics (IZA).
    7. Gunes Gokmen & Massimiliano Gaetano Onorato & Tommaso Nannicini & Chris Papageorgiou, 2017. "Policies in Hard Times: Assessing the Impact of Financial Crises on Structural Reforms," Working Papers 605, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    8. Romain Duval & Davide Furceri & Jakob Miethe, 2021. "Robust political economy correlates of major product and labor market reforms in advanced economies: Evidence from BAMLE for logit models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 98-124, January.
    9. Andréasson, Hannes & Elert, Niklas & Karlson, Nils, 2013. "Does Social Cohesion Really Promote Reforms?," Ratio Working Papers 211, The Ratio Institute.
    10. Campos, Nauro F. & De Grauwe, Paul & Ji, Yuemei, 2023. "Structural reforms and economic performance: the experience of advanced economies," LSE Research Online Documents on Economics 120870, London School of Economics and Political Science, LSE Library.
    11. Agnello, Luca & Castro, Vitor & Jalles, João Tovar & Sousa, Ricardo M., 2015. "What determines the likelihood of structural reforms?," European Journal of Political Economy, Elsevier, vol. 37(C), pages 129-145.
    12. Romp, Ward & Beetsma, Roel, 2023. "OECD pension reform: The role of demographic trends and the business cycle," European Journal of Political Economy, Elsevier, vol. 77(C).
    13. Berggren, Niclas & Daunfeldt, Sven-Olov & Hellstrã–M, Jã–Rgen, 2016. "Does social trust speed up reforms? The case of central-bank independence," Journal of Institutional Economics, Cambridge University Press, vol. 12(2), pages 395-415, June.
    14. Campos, Nauro F. & Nugent, Jeffrey B., 2012. "The Dynamics of the Regulation of Labor in Developing and Developed Countries since 1960," IZA Discussion Papers 6881, Institute of Labor Economics (IZA).
    15. Andersson, Fredrik NG, 2016. "A Blessing in Disguise? Banking Crises and Institutional Change," World Development, Elsevier, vol. 83(C), pages 135-147.
    16. Mounir Mahmalat & Declan Curran, 2018. "Do Crises Induce Reform? A Critical Review Of Conception, Methodology And Empirical Evidence Of The €˜Crisis Hypothesis’," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 613-648, July.
    17. Bellak, Christian & Leibrecht, Markus, 2019. "The Association of Economic Crises and Investor-State Arbitration Cases," Department of Economics Working Paper Series 284, WU Vienna University of Economics and Business.
    18. Peter Huber & Thomas Leoni & Hans Pitlik, 2013. "Reforming Welfare States. WWWforEurope Deliverable No. 1," WIFO Studies, WIFO, number 47022, April.
    19. Markus Leibrecht & Joelle H. Fiong, 2017. "Economic Crises and Globalisation as Drivers of Pension Privatisation: an Empirical Analysis," ICMA Centre Discussion Papers in Finance icma-dp2017-05, Henley Business School, University of Reading.
    20. Zara Liaqat & Jeffrey Nugent, 2015. "Under-provision of private training by MENA firms: what to Do about It?," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    21. Hannes Andréasson & Niklas Elert & Nils Karlson, 2013. "Does Social Cohesion Really Promote Reforms? WWWforEurope Working Paper No. 33," WIFO Studies, WIFO, number 46919, April.
    22. Prato, Carlo & Wolton, Stephane, 2013. "Rational Ignorance, Elections, and Reform," MPRA Paper 68638, University Library of Munich, Germany, revised 10 Dec 2015.
    23. Beetsma, Roel & Romp, Ward & van Maurik, Ron, 2017. "What Drives Pension Reform Measures in the OECD? Evidence based on a New Comprehensive Dataset and Theory," CEPR Discussion Papers 12313, C.E.P.R. Discussion Papers.

  36. Liu, Echu & Hsiao, Cheng & Matsumoto, Tomoya & Chou, Shinyi, 2009. "Maternal full-time employment and overweight children: Parametric, semi-parametric, and non-parametric assessment," Journal of Econometrics, Elsevier, vol. 152(1), pages 61-69, September.

    Cited by:

    1. Charles Courtemanche & Rusty Tchernis & Xilin Zhou, 2017. "Parental Work Hours and Childhood Obesity: Evidence Using Instrumental Variables Related to Sibling School Eligibility," Working Papers 2017-041, Human Capital and Economic Opportunity Working Group.
    2. Charles J. Courtemanche & Joshua C. Pinkston & Jay Stewart, 2020. "Time Spent Exercising and Obesity: An Application of Lewbel’s Instrumental Variables Method," NBER Working Papers 26670, National Bureau of Economic Research, Inc.
    3. Joan Costa Font & Mireia Jofre-Bonet & Julian Le Grand, 2015. "Vertical Transmission of Overweight: Evidence From English Adoptees," CEP Discussion Papers dp1324, Centre for Economic Performance, LSE.
    4. Gwozdz, Wencke & Sousa-Poza, Alfonso & Reisch, Lucia A. & Ahrens, Wolfgang & De Henauw, Stefaan & Eiben, Gabriele & Fernandez-Alvira, Juan M. & Hadjigeorgiou, Charalampos & Kovacs, Eva & Lauria, Fabio, 2013. "Maternal employment and childhood obesity: A European perspective," FZID Discussion Papers 73-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    5. Phalen, Patricia F. & Osellame, Julia & Anderson, Catherine, 2014. "Women of influence: A case study of three telecommunications policymakers," Telecommunications Policy, Elsevier, vol. 38(4), pages 333-343.
    6. Milovanska-Farrington, Stefani, 2020. "Parents labor supply and childhood obesity: Evidence from Scotland," Economics & Human Biology, Elsevier, vol. 38(C).
    7. Datar, Ashlesha & Nicosia, Nancy & Shier, Victoria, 2014. "Maternal work and children's diet, activity, and obesity," Social Science & Medicine, Elsevier, vol. 107(C), pages 196-204.
    8. Nie, Peng & Sousa-Poza, Alfonso, 2014. "Maternal employment and childhood obesity in China: Evidence from the China Health and Nutrition Survey," FZID Discussion Papers 87-2014, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    9. Gracious M. Diiro & Abdoul G. Sam & David Kraybill, 2017. "Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(3), pages 609-632, September.
    10. Biavaschi, Costanza, 2012. "Recovering the Counterfactual Wage Distribution with Selective Return Migration," IZA Discussion Papers 6795, Institute of Labor Economics (IZA).
    11. Yang, Muzhe & Huang, Rui, 2010. "Exposure to Obesity and Weight Gain among Adolescents," Research Reports 149944, University of Connecticut, Food Marketing Policy Center.
    12. Liu, Hong & Zhao, Zhong, 2011. "Parental Job Loss and Children’s Health: Ten Years after the Massive Layoff of the SOEs’ Workers in China," IZA Discussion Papers 5846, Institute of Labor Economics (IZA).
    13. Federico Crudu & Laura Neri & Silvia Tiezzi, 2020. "Family Ties and Child Obesity in Italy," Department of Economics University of Siena 845, Department of Economics, University of Siena.
    14. Schuring, Jessica, 2013. "The impact of maternal occupation and pre-pregnancy weight status on childhood obesity: A comparative analysis of the United States and the United Kingdom," ISU General Staff Papers 201301010800004440, Iowa State University, Department of Economics.
    15. Greve, Jane, 2011. "New results on the effect of maternal work hours on children's overweight status: Does the quality of child care matter?," Labour Economics, Elsevier, vol. 18(5), pages 579-590, October.
    16. Crudu, F.; & Neri, L.; & Tiezzi, S.;, 2018. "Family Ties and Children Obesity in Italy," Health, Econometrics and Data Group (HEDG) Working Papers 18/09, HEDG, c/o Department of Economics, University of York.
    17. Fabrice Etilé & Marie Plessz, 2018. "Women’s employment and the decline of home cooking: Evidence from France, 1985–2010," PSE-Ecole d'économie de Paris (Postprint) halshs-01884338, HAL.
    18. Jo, Young, 2014. "What money can buy: Family income and childhood obesity," Economics & Human Biology, Elsevier, vol. 15(C), pages 1-12.
    19. Zhewen Pan, 2023. "On semiparametric estimation of the intercept of the sample selection model: a kernel approach," Papers 2302.05089, arXiv.org.
    20. Kondratjeva, Olga & Sam, Abdoul G. & Mishra, Khushbu, 2021. "Impact of mother’s employment on children’s nutrition: evidence from Nepal," 2021 Annual Meeting, August 1-3, Austin, Texas 313853, Agricultural and Applied Economics Association.
    21. Briody, Jonathan, 2021. "Parental unemployment during the Great Recession and childhood adiposity," Social Science & Medicine, Elsevier, vol. 275(C).

  37. Kannika Damrongplasit & Cheng Hsiao, 2009. "Decriminalization Policy And Marijuana Smoking Prevalence: A Look At The Literature," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 54(04), pages 621-644.

    Cited by:

    1. Niko de Silva & Benno Torgler, 2011. "Smoke Signals and Mixed Messages: Medical Marijuana & Drug Policy Signalling Effects," CREMA Working Paper Series 2011-18, Center for Research in Economics, Management and the Arts (CREMA).
    2. Liana Jacobi & Michelle Sovinsky, 2012. "Marijuana on main street: What if?," ECON - Working Papers 087, Department of Economics - University of Zurich.

  38. Yip, Winnie & Hsiao, William, 2009. "China's health care reform: A tentative assessment," China Economic Review, Elsevier, vol. 20(4), pages 613-619, December.

    Cited by:

    1. Lijian Qin & Suwen Pan & Chenggang Wang & Zhongyi Jiang, 2012. "Adverse selection in China's New Rural Cooperative Medical Scheme," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(1), pages 69-83, January.
    2. Liu, Hong & Gao, Song & Rizzo, John A., 2011. "The expansion of public health insurance and the demand for private health insurance in rural China," China Economic Review, Elsevier, vol. 22(1), pages 28-41, March.
    3. Liu, Hong & Sun, Qi & Zhao, Zhong, 2013. "Social Learning and Health Insurance Enrollment: Evidence from China's New Cooperative Medical Scheme," IZA Discussion Papers 7251, Institute of Labor Economics (IZA).
    4. Wagner, Natascha & Quimbo, Stella & Shimkhada, Riti & Peabody, John, 2018. "Does health insurance coverage or improved quality protect better against out-of-pocket payments? Experimental evidence from the Philippines," Social Science & Medicine, Elsevier, vol. 204(C), pages 51-58.
    5. Wanyue Dong & Anthony B. Zwi & Ruhai Bai & Chi Shen & Jianmin Gao, 2021. "Benefits Associated with China’s Social Health Insurance Schemes: Trend Analysis and Associated Factors Since Health Reform," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    6. Jacky MATHONNAT & Yong HE & Martine AUDIBERT, 2013. "Two-Period Comparison of Healthcare Demand with Income Growth and Population Aging in Rural China: Implications for Adjustment of the Healthcare Supply and Development," Working Papers 201315, CERDI.
    7. Zhiyuan Hou & Ellen Van de Poel & Eddy Van Doorslaer & Baorong Yu & Qingyue Meng, 2014. "Effects Of Ncms On Access To Care And Financial Protection In China," Health Economics, John Wiley & Sons, Ltd., vol. 23(8), pages 917-934, August.
    8. Shuang Shao & FeiFei Zhao & Jing Wang & Lei Feng & XiaoQin Lu & Juan Du & YuXiang Yan & Chao Wang & YingHong Fu & JingJing Wu & XinWei Yu & KayKeng Khoo & YouXin Wang & Wei Wang, 2013. "The Ecology of Medical Care in Beijing," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
    9. Martine AUDIBERT & Jacky MATHONNAT & Yong HE, 2010. "Income Growth, Price Variation and Health Care Demand: A Mixed Logit Model Applied to Tow-period Comparison in Rural China," Working Papers 201035, CERDI.
    10. Carine Milcent, 2011. "Baisse du recours aux soins dans les zones rurales en Chine," PSE Working Papers halshs-00653450, HAL.
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    15. Vincenzo Atella & Agar Brugiavini & Noemi Pace, 2013. "The health care system reform in China: effects on out-of-pocket expenses and saving," CEIS Research Paper 296, Tor Vergata University, CEIS, revised 22 Oct 2013.
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    1. E. Santarelli & H. T. Tran, 2013. "Diversification Strategies and Firm Performance: A Sample Selection Approach," Working Papers wp896, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Bando, Rosangela & Li, Xia, 2014. "The Effect of In-Service Teacher Training on Student Learning of English as a Second Language," IDB Publications (Working Papers) 6596, Inter-American Development Bank.
    3. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.

  40. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from the Public Opinion Survey on Household Financial Assets and Liabilities," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 26, pages 159-194, December.
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    39. Wambua, Dennis Kyalo, 2017. "Influence Of Social Capital And Networks On Marketing Performance Of Smallholder Grain Farmer Groups In Tharaka North And Tharaka South Sub-Counties, Kenya," Research Theses 276430, Collaborative Masters Program in Agricultural and Applied Economics.
    40. Ibhagui, Oyakhilome, 2017. "How Does Foreign Direct Investment Affect Growth in Sub-Saharan Africa? New Evidence from Non-threshold and Threshold Analysis," MPRA Paper 85784, University Library of Munich, Germany.
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  42. Cheng Hsiao & Siyan Wang, 2007. "Lag-augmented two- and three-stage least squares estimators for integrated structural dynamic models," Econometrics Journal, Royal Economic Society, vol. 10(1), pages 49-81, March.
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  44. Liqun Wang & Cheng Hsiao, 2007. "Two-stage estimation of limited dependent variable models with errors-in-variables," Econometrics Journal, Royal Economic Society, vol. 10(2), pages 426-438, July.

    Cited by:

    1. Wang, Liqun & Hsiao, Cheng, 2011. "Method of moments estimation and identifiability of semiparametric nonlinear errors-in-variables models," Journal of Econometrics, Elsevier, vol. 165(1), pages 30-44.

  45. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
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  46. Cheng Hsiao & Zijun Wang & Jian Yang & Qi Li, 2006. "The emerging market crisis and stock market linkages: further evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 727-744.
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  47. Harrison Cheng & Cheng Hsiao & Jeffrey B. Nugent & Jicheng Qiu, 2006. "Managerial Autonomy, Contractual Incentives And Productivity In A Transition Economy: Some Evidence From China'S Town And Village Enterprises," Pacific Economic Review, Wiley Blackwell, vol. 11(3), pages 341-361, October.

    Cited by:

    1. Xincai Gao & Zhongyang Ji & Fayyaz Ahmad & Muhammad Umar Draz, 2019. "Financial Support and Growth of Township and Village Enterprises in China: Fresh Evidence From Regional Analyses," SAGE Open, , vol. 9(2), pages 21582440198, June.
    2. Sandeep Mohapatra & Rachael Goodhue & Scott Rozelle, 2008. "Incentive Complementarity in China’s Rural Enterprises," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(1), pages 63-79, August.

  48. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
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  49. Yan Shen & Cheng Hsiao & Hiroshi Fujiki, 2005. "Aggregate vs. disaggregate data analysis-a paradox in the estimation of a money demand function of Japan under the low interest rate policy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 579-601.
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    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. 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.
    4. 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.
    5. 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).
    6. 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).
    7. Chiang, Thomas C., 2023. "Real stock market returns and inflation: Evidence from uncertainty hypotheses," Finance Research Letters, Elsevier, vol. 53(C).
    8. 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.
    9. Wu, Shue-Jen & Lee, Wei-Ming, 2015. "Intertemporal risk–return relationships in bull and bear markets," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 308-325.
    10. Armine Karami & Raphael Benichou & Michael Benzaquen & Jean-Philippe Bouchaud, 2019. "Conditional Correlations and Principal Regression Analysis for Futures," Papers 1912.12354, arXiv.org, revised Jan 2020.
    11. 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.
    12. Mohanty, Roshni & P, Srinivasan, 2014. "The Time-Varying Risk and Return Trade Off in Indian Stock Markets," MPRA Paper 55660, University Library of Munich, Germany.
    13. Kang, Wensheng & Ratti, Ronald A. & Yoon, Kyung Hwan, 2015. "The impact of oil price shocks on the stock market return and volatility relationship," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 41-54.
    14. Kim, Eung-Bin & Byun, Suk-Joon, 2021. "Risk, ambiguity, and equity premium: International evidence," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 321-335.
    15. 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.
    16. 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.
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    34. Sabbaghi, Omid, 2011. "Asymmetric volatility and trading volume: The G5 evidence," Global Finance Journal, Elsevier, vol. 22(2), pages 169-181.
    35. 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.
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    40. 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.
    41. He, Zhifang, 2022. "Asymmetric impacts of individual investor sentiment on the time-varying risk-return relation in stock market," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 177-194.
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    48. 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.
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    2. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2012. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Documentos de Trabajo del ICAE 2012-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
    3. Joop Hartog & Luis Díaz-Serrano, 2007. "Earnings risk and demand for higher education: A cross-section test for Spain," Journal of Applied Economics, Universidad del CEMA, vol. 10, pages 1-28, May.
    4. Daisuke Kurisu & Taisuke Otsu, 2019. "On the uniform convergence of deconvolution estimators from repeated measurements," STICERD - Econometrics Paper Series 604, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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    11. Yuan-chin Chang & Hung-Yi Lu, 2010. "Online Calibration Via Variable Length Computerized Adaptive Testing," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 140-157, March.
    12. Yuan-chin Chang, 2011. "Sequential estimation in generalized linear models when covariates are subject to errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 93-120, January.
    13. Joel L. Horowitz, 2013. "Ill-posed inverse problems in economics," CeMMAP working papers CWP37/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Taraneh Abarin & Liqun Wang, 2012. "Instrumental variable approach to covariate measurement error in generalized linear models," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(3), pages 475-493, June.
    15. Kurisu, Daisuke & Otsu, Taisuke, 2022. "On the uniform convergence of deconvolution estimators from repeated measurements," LSE Research Online Documents on Economics 107533, London School of Economics and Political Science, LSE Library.
    16. Wing-Keung Wong & Guorui Bian, 2005. "Robust Estimation of Multiple Regression Model with Non-normal Error: Symmetric Distribution," Monash Economics Working Papers 09/05, Monash University, Department of Economics.
    17. José da Silva Costa & Armindo Cravalho, 2013. "Yardstick Competition among Portuguese Municipalities: The Case of Urban Property Tax (IMI)," FEP Working Papers 495, Universidade do Porto, Faculdade de Economia do Porto.
    18. Takuma Yoshida, 2019. "Two stage smoothing in additive models with missing covariates," Statistical Papers, Springer, vol. 60(6), pages 1803-1826, December.

  53. 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.

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    3. 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.
    4. Su Liangjun & Tadao Hoshino, 2015. "Sieve Instrumental Variable Quantile Regression Estimation of Functional Coefficient Models," Working Papers 01-2015, Singapore Management University, School of Economics.
    5. 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.
    6. 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.
    7. Escanciano, J. Carlos, 2006. "Goodness-of-Fit Tests for Linear and Nonlinear Time Series Models," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 531-541, June.
    8. 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.
    9. Ivan Korolev, 2018. "A Consistent Heteroskedasticity Robust LM Type Specification Test for Semiparametric Models," Papers 1810.07620, arXiv.org, revised Nov 2019.
    10. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.
    11. 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.
    12. 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.
    13. Huang, W. & Linton, O. & Zhang, Z., 2021. "A Unified Framework for Specification Tests of Continuous Treatment Effect Models," Cambridge Working Papers in Economics 2113, Faculty of Economics, University of Cambridge.
    14. 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.
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    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.
    24. 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.
    25. 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.
    26. 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).
    27. Song, Kyungchul, 2010. "Testing semiparametric conditional moment restrictions using conditional martingale transforms," Journal of Econometrics, Elsevier, vol. 154(1), pages 74-84, January.
    28. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    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. 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.
    31. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    32. 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.
    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.

  54. Hsiao, Cheng & Shen, Yan, 2003. "Foreign Direct Investment and Economic Growth: The Importance of Institutions and Urbanization," Economic Development and Cultural Change, University of Chicago Press, vol. 51(4), pages 883-896, July.

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    3. Emmanuel Apergis & Nicholas Apergis, 2018. "What is extracted from earth is gold: are rare earths telling a new tale to economic growth?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(1), pages 177-192, January.
    4. Amendolagine, Vito & Prota, Francesco, 2021. "Bilateral investment treaties and backward linkages in Sub-Saharan Africa," International Economics, Elsevier, vol. 165(C), pages 172-185.
    5. Balsalobre-Lorente, Daniel & Driha, Oana M. & Sinha, Avik, 2020. "The dynamic effects of globalization process in analysing N-shaped tourism led growth hypothesis," MPRA Paper 100078, University Library of Munich, Germany.
    6. Frederick van der Ploeg & Steven Poelhekke, 2008. "Globalization and the rise of mega-cities in the developing world," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(3), pages 477-501.
    7. Faik Bilgili & Nadide S. Tülüce & Ibrahim Doğan & H. Hilal Bağlıtas, 2016. "The causality between FDI and sector-specific production in Turkey: evidence from threshold cointegration with regime shifts," Applied Economics, Taylor & Francis Journals, vol. 48(5), pages 345-360, January.
    8. Karimi, Mohammad Sharif & Yusop, Zulkornain, 2009. "FDI and Economic Growth in Malaysia," MPRA Paper 14999, University Library of Munich, Germany.
    9. S G Dastidar & N Apergis, 2022. "Do Remittances Promote Economic Growth? New Evidence from India," Economic Issues Journal Articles, Economic Issues, vol. 27(1), pages 11-37, March.
    10. Wu, Haitao & Hao, Yu & Weng, Jia-Hsi, 2019. "How does energy consumption affect China's urbanization? New evidence from dynamic threshold panel models," Energy Policy, Elsevier, vol. 127(C), pages 24-38.
    11. Omri, Anis & Kahouli, Bassem, 2013. "Causal relationships between energy consumption, foreign direct investment and economic growth: Fresh evidence from dynamic simultaneous-equations models," MPRA Paper 82502, University Library of Munich, Germany, revised 22 Nov 2013.
    12. Jeffrey A. EDWARDS & Cephas B. NAANWAAB & Alfredo A. ROMERO, 2017. "Effect of FDI on real per capita GDP Growth: A Rolling Window Panel Analysis of 60 countries, 1982-2011," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 17(1), pages 19-36.
    13. Ying Ge, 2006. "The Effect of Foreign Direct Investment on the Urban Wage in China: An Empirical Examination," Urban Studies, Urban Studies Journal Limited, vol. 43(9), pages 1439-1450, August.
    14. Samir SAIDI, 2016. "Impact of road transport on foreign direct investment and economic growth: Empirical evidence from simultaneous equations model," E3 Journal of Business Management and Economics., E3 Journals, vol. 7(2), pages 064-071.
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    16. Shahbaz, Muhammad & Nasreen, Samia & Abbas, Faisal & Anis, Omri, 2015. "Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?," Energy Economics, Elsevier, vol. 51(C), pages 275-287.
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    18. Burns, Darren K. & Jones, Andrew P. & Goryakin, Yevgeniy & Suhrcke, Marc, 2017. "Is foreign direct investment good for health in low and middle income countries? An instrumental variable approach," Social Science & Medicine, Elsevier, vol. 181(C), pages 74-82.
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    2. Wen Xu, 2016. "Estimation of Dynamic Panel Data Models with Stochastic Volatility Using Particle Filters," Econometrics, MDPI, vol. 4(4), pages 1-13, October.
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    6. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
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    8. Jan P.A.M. Jacobs & Jenny E. Ligthart & Hendrik Vrijburg, 2009. "Dynamic Panel Data Models Featuring Endogenous Interaction and Spatially Correlated Errors," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0915, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
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    58. Shahimi, Shahida & Hafizuddin-Syah, B.A.M & Fuad, Siti Hanisah, 2018. "The Effect of Sustainability Certification for Export on Operational Profitability of Malaysian Palm Oil Companies," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 55-67.
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    Cited by:

    1. Fischer, Andreas M., 2007. "Measuring income elasticity for Swiss money demand: What do the cantons say about financial innovation?," European Economic Review, Elsevier, vol. 51(7), pages 1641-1660, October.
    2. Ryuzo Miyao, 2002. "Liquidity Trap and the Stability of Money Demand: Is Japan Really Trapped at the Zero Bound?," Discussion Paper Series 127, Research Institute for Economics & Business Administration, Kobe University.
    3. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2002. "Aggregate vs Disaggregate Data Analysis - A Paradox in the Estimation of Money Demand Function of Japan Under the Low Interest Rate Policy," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A4-1, International Conferences on Panel Data.
    4. Shigeyoshi Miyagawa & Yoji Morita & Yoshitaka Sawada, 2007. "The Role of Central Bank in the Recession in the Case of Japan's Recession," Discussion Papers 17, Aboa Centre for Economics.
    5. Cargill, Thomas F. & Parker, Elliott, 2004. "Price deflation, money demand, and monetary policy discontinuity: a comparative view of Japan, China, and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 15(1), pages 125-147, March.
    6. Laurence M. Ball, 2006. "Fiscal Remedies for Japan's Slump," NBER Chapters, in: Monetary Policy with Very Low Inflation in the Pacific Rim, pages 279-304, National Bureau of Economic Research, Inc.
    7. Fujiki, Hiroshi & 藤木, 裕 & フジキ, ヒロシ & Kitamura, Yukinobu & 北村, 行伸 & キタムラ, ユキノブ, 2003. "The Big Mac Standard: A Statistical Illustration," Discussion Paper Series a446, Institute of Economic Research, Hitotsubashi University.
    8. Seidman, Laurence & Lewis, Kenneth, 2015. "Stimulus without debt in a severe recession," Journal of Policy Modeling, Elsevier, vol. 37(6), pages 945-960.
    9. Claudio Morana, 2004. "The Japanese Deflation: Has It Had Real Effects? Could It Have Been Avoided?," ICER Working Papers 29-2004, ICER - International Centre for Economic Research.
    10. Jun Nagayasu, 2012. "Financial innovation and regional money," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4617-4629, December.
    11. Akhand Akhtar Hossain, 2015. "The Evolution of Central Banking and Monetary Policy in the Asia-Pacific," Books, Edward Elgar Publishing, number 14611.
    12. Hiroshi Fujiki & Cheng Hsiao, 2008. "Aggregate and Household Demand for Money: Evidence from Public Opinion Survey on Household Financial Assets and Liabilities," IMES Discussion Paper Series 08-E-17, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Hyunjoo Ryou & Cristina Terra, 2015. "Exchange Rate Dynamics under Financial Market Frictions," THEMA Working Papers 2015-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.

  57. Robert Dekle & Cheng Hsiao & Siyan Wang, 2002. "High Interest Rates and Exchange Rate Stabilization in Korea, Malaysia, and Thailand: An Empirical Investigation of the Traditional and Revisionist Views," Review of International Economics, Wiley Blackwell, vol. 10(1), pages 64-78, February.

    Cited by:

    1. Choi, In & Park, Daekeun, 2008. "Causal relation between interest and exchange rates in the Asian currency crisis," Japan and the World Economy, Elsevier, vol. 20(3), pages 435-452, August.
    2. Hsing, Yu, 2009. "Analysis of the Behavior of the New Zealand Dollar Exchange Rate: Comparison of Four Major Models," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(1-2), pages 1-10, March.
    3. Yu Hsing, 2015. "Short-Run Determinants of the USD/MYR Exchange Rate," Economics Bulletin, AccessEcon, vol. 35(1), pages 97-105.
    4. Shiu-Sheng Chen, 2003. "Revisiting the Interest Rate-Exchange Rate Nexus: A Markov Switching Approach," International Finance 0303002, University Library of Munich, Germany, revised 05 Apr 2003.
    5. Vincent Bouvatier, 2007. "Are International Interest Rate Differentials Driven by the Risk Premium? The Case of Asian Countries," Economics Bulletin, AccessEcon, vol. 5(6), pages 1-14.
    6. Thi Hong Hanh Pham, 2018. "Liquidity and exchange rate volatility," Working Papers halshs-01708633, HAL.
    7. HSING, Yu, 2021. "Are The Predictions Of The Mundell-Fleming Model Applicable To Argentina?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 21(1), pages 37-48.
    8. Yu Hsing, 2016. "Determinants of the ZAR/USD exchange rate and policy implications: A simultaneous-equation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1151131-115, December.
    9. Alibey Kudar, 2021. "Interest rate as the last link of chain during crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 3189-3203, April.
    10. Sylvester C. W. Eijffinger & Benedikt Goderis, 2008. "The Effect of Monetary Policy on Exchange Rates during Currency Crises: the Role of Debt, Institutions, and Financial Openness," Review of International Economics, Wiley Blackwell, vol. 16(3), pages 559-575, August.
    11. Mr. Evan C Tanner, 2002. "Exchange Market Pressure, Currency Crises, and Monetary Policy: Additional Evidence From Emerging Markets," IMF Working Papers 2002/014, International Monetary Fund.
    12. Alexandros Pasiouras & Theodoros Daglis, 2020. "The Dollar Exchange Rates in the Covid-19 Era: Evidence from 5 Currencies," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 352-361.
    13. Inci Gumus, 2002. "Effects of the Interest Rate Defense on Exchange Rates During the 1994 Crisis in Turkey," Working Papers 0214, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    14. Yu Hsing, 2010. "Analysis of movements in the AUD/USD exchange rate: comparison of four major models," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 575-580.
    15. Huseyin Karamelikli & Mohammad Sharif Karimi, 2022. "Asymmetric relationship between interest rates and exchange rates: Evidence from Turkey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1269-1279, January.
    16. Hsing, Yu, 2016. "Comparison of the Fundamental and Monetary Models of the Determinants of the Argentine Peso/US Dollar Exchange Rate," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(4), pages 379-388.
    17. Soyoung Kim, 2014. "Effects of Monetary Policy Shocks on the Exchange Rate in the Republic of Korea: Capital Flows in Stock and Bond Markets," Asian Development Review, MIT Press, vol. 31(1), pages 121-135, March.
    18. Luis-Felipe Zanna, 2006. "Fighting against currency depreciation, macroeconomic instability and sudden stops," International Finance Discussion Papers 848, Board of Governors of the Federal Reserve System (U.S.).
    19. Yu Hsing, 2009. "The Determination Of The Costa Rica Colon/Usd Exchange Rate," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 3(1), pages 79-87.
    20. Ramkishen S. Rajan, 2007. "Managing new-style currency crises: the swan diagram approach revisited," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(5), pages 583-606.
    21. Konstantinos N. Konstantakis & Ioannis G. Melissaropoulos & Theodoros Daglis & Panayotis G. Michaelides, 2023. "The euro to dollar exchange rate in the Covid‐19 era: Evidence from spectral causality and Markov‐switching estimation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 2037-2055, April.
    22. Yu HSING, 2016. "Determinants of the Hungarian forint/ US dollar exchange rate," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(606), S), pages 163-170, Spring.

  58. Hsiao, Cheng, 2001. "Identification And Dichotomization Of Long- And Short-Run Relations Of Cointegrated Vector Autoregressive Models," Econometric Theory, Cambridge University Press, vol. 17(5), pages 889-912, October.

    Cited by:

    1. Hsiao, Cheng & Wang, Siyan, 2006. "Modified two-stage least-squares estimators for the estimation of a structural vector autoregressive integrated process," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 427-463.
    2. Rangarajan, C. & Srivastava, D.K., 2005. "Fiscal deficits and government debt in India: Implications for growth and stabilisation," Working Papers 05/35, National Institute of Public Finance and Policy.
    3. Lightwood, James & Glantz, Stanton, 2011. "Effect of the Arizona tobacco control program on cigarette consumption and healthcare expenditures," Social Science & Medicine, Elsevier, vol. 72(2), pages 166-172, January.
    4. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.

  59. 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. Eduardo Fé-Rodríguez & Chris D. Orme, 2009. "On the Sensitivity of Kernel-based Tests of Conditional Moment Restrictions," Economics Discussion Paper Series 0912, Economics, The University of Manchester.
    2. Ted Juhl & Zhijie Xiao, 2009. "Tests for Changing Mean with Monotonic Power," Boston College Working Papers in Economics 709, Boston College Department of Economics.
    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. Juhl, Ted & Xiao, Zhijie, 2005. "A nonparametric test for changing trends," Journal of Econometrics, Elsevier, vol. 127(2), pages 179-199, August.
    5. Grobys, Klaus, 2023. "A multifractal model of asset (in)variances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    6. 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.
    7. 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.
    8. 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.
    9. 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.

  60. Robert Dekle & Cheng Hsiao & Siyan Wang, 2001. "Do High Interest Rates Appreciate Exchange Rates During Crisis? The Korean Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(3), pages 359-380, July.

    Cited by:

    1. Guglielmo Maria Caporale & Andrea Cipollini & Panicos Demetriades, 2003. "Monetary Policy and the Exchange Rate During the Asian Crisis: Identification Through Heteroscedasticity," CEIS Research Paper 23, Tor Vergata University, CEIS.
    2. Hsing, Yu, 2009. "Analysis of the Behavior of the New Zealand Dollar Exchange Rate: Comparison of Four Major Models," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(1-2), pages 1-10, March.
    3. Erdoğan, Seyfettin & Karacan, Rıdvan & Alpaslan, Barış, 2013. "Interest Rates, Exchange Rates and Macroeconomic Performance," MPRA Paper 50838, University Library of Munich, Germany.
    4. Vincent Bouvatier, 2007. "Are International Interest Rate Differentials Driven by the Risk Premium? The Case of Asian Countries," Economics Bulletin, AccessEcon, vol. 5(6), pages 1-14.
    5. HSING, Yu, 2021. "Are The Predictions Of The Mundell-Fleming Model Applicable To Argentina?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 21(1), pages 37-48.
    6. Funashima, Yoshito, 2017. "Time-varying leads and lags across frequencies using a continuous wavelet transform approach," Economic Modelling, Elsevier, vol. 60(C), pages 24-28.
    7. Bernoth, Kerstin & Herwartz, Helmut, 2021. "Exchange rates, foreign currency exposure and sovereign risk," Journal of International Money and Finance, Elsevier, vol. 117(C).
    8. Yu Hsing, 2006. "Analysis of Short-term Exchange Rate Movements in Korea: Application of an Extended Mundell-Fleming Model," Global Economic Review, Taylor & Francis Journals, vol. 35(2), pages 145-151.
    9. Inci Gumus, 2002. "Effects of the Interest Rate Defense on Exchange Rates During the 1994 Crisis in Turkey," Working Papers 0214, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    10. Yu Hsing, 2010. "Analysis of movements in the AUD/USD exchange rate: comparison of four major models," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 575-580.
    11. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    12. João Paulo Martin Faleiros & Denisard Cnéio De Oliveira Alves, 2011. "Taxade Juros Alta Evita Ataques Especulativos Sobre O Câmbio? Umareavaliação Empírica Para 6 Países Durante O Período Entre 1975 E 2008," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 212, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    13. Luis-Felipe Zanna, 2006. "Fighting against currency depreciation, macroeconomic instability and sudden stops," International Finance Discussion Papers 848, Board of Governors of the Federal Reserve System (U.S.).
    14. Kim, Jung-Kwan & Ratti, Ronald A., 2006. "Economic activity, foreign exchange rate, and the interest rate during the Asian crisis," Journal of Policy Modeling, Elsevier, vol. 28(4), pages 387-402, May.

  61. Hsiao, Cheng & Wang, Q Kevin, 2000. "Estimation of Structural Nonlinear Errors-in-Variables Models by Simulated Least-Squares Method," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(2), pages 523-542, May.

    Cited by:

    1. Yingyao Hu & Geert Ridder, 2009. "Estimation of Nonlinear Models with Mismeasured Regressors Using Marginal Information," Economics Working Paper Archive 554, The Johns Hopkins University,Department of Economics.
    2. Geert Ridder & Yingyao Hu, 2004. "Estimation of Nonlinear Models with Measurement Error Using Marginal Information," Econometric Society 2004 North American Summer Meetings 21, Econometric Society.
    3. Edgerton, David & Jochumzen, Peter, 2003. "Estimation in Binary Choice Models with Measurement Errors," Working Papers 2003:4, Lund University, Department of Economics, revised 07 Jul 2003.
    4. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.
    5. Daniel Miles & Andrés Pereyra & Máximo Rossi, 2002. "The consistent estimation of income elasticity of environmental amenities in Uruguay," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 17(1), pages 67-89.

  62. Arguea, Nestor M. & Hsiao, Cheng, 2000. "Market Values of Environmental Amenities: A Latent Variable Approach," Journal of Housing Economics, Elsevier, vol. 9(1-2), pages 104-126, March.

    Cited by:

    1. Fredrik Carlsen & Jørn Rattsø & Bjørg Langset & Lasse Stambøl, 2006. "Using survey data to study capitalization of local public services," Working Paper Series 8106, Department of Economics, Norwegian University of Science and Technology.
    2. Aviad Tur-Sinai, 2019. "Is a Municipal Boundary a Good Stratification Variable?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(3), pages 1075-1098, August.
    3. Tur-Sinai, Aviad & Fleishman, Larisa & Romanov, Dmitri, 2020. "The accuracy of self-reported dwelling valuation," Journal of Housing Economics, Elsevier, vol. 48(C).
    4. Alla Koblyakova & Larisa Fleishman & Orly Furman, 2022. "Accuracy of Households’ Dwelling Valuations, Housing Demand and Mortgage Decisions: Israeli Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(1), pages 48-74, July.

  63. Robert Dekle & Cheng Hsiao & Siyan Wang, 1999. "Interest rate stabilization of exchange rates and contagion in the Asian crisis countries," Proceedings, Federal Reserve Bank of San Francisco, issue Sep.

    Cited by:

    1. Cho, Dongchul, 2003. "Monetary Policy During and After the Crisis in Korea," KDI Policy Studies 2003-01, Korea Development Institute (KDI).
    2. Shirai, Sayuri, 2009. "Imfの融資制度ーアイスランド、ウクライナ、ラトビア、ハンガリーのケースをもとにして [IMF Financing Systems-Based on the Cases of Iceland, Ukraine, Latvia, and Hungary]," MPRA Paper 14723, University Library of Munich, Germany.
    3. Ramon Moreno & Bharat Trehan, 2000. "Common shocks and currency crises," Working Paper Series 2000-05, Federal Reserve Bank of San Francisco.
    4. David M. Gould & Steven B. Kamin, 2000. "The impact of monetary policy on exchange rates during financial crises," International Finance Discussion Papers 669, Board of Governors of the Federal Reserve System (U.S.).
    5. Saikkonen, Pentti & Choi, In, 2000. "Cointegrating smooth transition regressions with applications to the Asian currency crisis," SFB 373 Discussion Papers 2000,98, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    6. Kam-hon CHU & Bob Y. C. Chan & Chor-yiu Sin, 2000. "Contagion Effects, Informational Effects, and Economic Fundamentals: An Analysis of Exchange Rate Dynamics during the Asian Currency Crisis," Working Papers 022000, Hong Kong Institute for Monetary Research.
    7. Amartya Lahiri & Carlos A. Vegh, 2005. "Output Costs, Currency Crises, and Interest Rate Defense of a Peg," NBER Working Papers 11791, National Bureau of Economic Research, Inc.
    8. Dongchul Cho & Kenneth D. West, 2003. "Interest Rates and Exchange Rates in the Korean, Philippine, and Thai Exchange Rate Crises," NBER Chapters, in: Managing Currency Crises in Emerging Markets, pages 11-35, National Bureau of Economic Research, Inc.
    9. Drazen, Allan & Hubrich, Stefan, 2003. "Mixed Signals in Defending the Exchange Rate: What do the Data Say?," CEPR Discussion Papers 4050, C.E.P.R. Discussion Papers.
    10. Amartya Lahiri & Carlos A. Vegh, 2000. "Delaying the Inevitable: Optimal Interest Rate Policy and BOP Crises," NBER Working Papers 7734, National Bureau of Economic Research, Inc.
    11. Peter Kehinde, Mogaji, 2017. "Empirical Assessment of Exchange Market Pressure within the West African Monetary Zone," MPRA Paper 98771, University Library of Munich, Germany.

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

    Cited by:

    1. 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.
    2. 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.
    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. Zongwu Cai & Ying Fang & Henong Li, 2012. "Weak Instrumental Variables Models for Longitudinal Data," Econometric Reviews, Taylor & Francis Journals, vol. 31(4), pages 361-389.
    5. 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.
    6. Hu, Xuemei & Wang, Zhizhong & Liu, Feng, 2008. "Zero finite-order serial correlation test in a semi-parametric varying-coefficient partially linear errors-in-variables model," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1560-1569, September.
    7. 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.
    8. Susanne Neckermann & Reto Cueni & Bruno S. Frey, 2010. "Awards at work," IEW - Working Papers 411, Institute for Empirical Research in Economics - University of Zurich.
    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. Kui-Wai Li, 2014. "An analysis on economic opportunity," Applied Economics, Taylor & Francis Journals, vol. 46(33), pages 4060-4074, November.
    11. 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.
    12. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    13. Susanne Neckermann & Reto Cueni & Bruno S. Frey, 2009. "What is an Award Worth? An Econometric Assessment of the Impact of Awards on Employee Performance," CESifo Working Paper Series 2657, CESifo.
    14. Li, Kui-Wai & Zhou, Xianbo, 2010. "Openness, domestic performance and growth," Economics Letters, Elsevier, vol. 107(1), pages 13-16, April.
    15. 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.
    16. 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.
    17. Neophyta Empora & Theofanis Mamuneas, 2011. "The Effect of Emissions on U.S. State Total Factor Productivity Growth," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 3(2), pages 149-172, October.
    18. Badi Baltagi & Georges Bresson & Jean-Michel Etienne, 2020. "Growth Empirics: A Bayesian Semiparametric Model with Random Coefficients for a Panel of OECD Countries," Center for Policy Research Working Papers 229, Center for Policy Research, Maxwell School, Syracuse University.
    19. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    20. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
    21. 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.
    22. 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.
    23. Neophyta Empora, 2017. "Air pollution spillovers and U.S. state productivity growth," University of Cyprus Working Papers in Economics 06-2017, University of Cyprus Department of Economics.
    24. 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.

  65. Hsiao, Cheng & Fujiki, Hiroshi, 1998. "Nonstationary Time-Series Modeling versus Structural Equation Modeling: With an Application to Japanese Money Demand," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 16(1), pages 57-79, May.

    Cited by:

    1. Shiratsuka, Shigenori, 2001. "Is There a Desirable Rate of Inflation? A Theoretical and Empirical Survey," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 19(2), pages 49-83, May.
    2. Adam Daigneault & Brent Sohngen, 2008. "Estimating Welfare Effects from Supply Shocks with Dynamic Factor Demand Models," NCEE Working Paper Series 200803, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Feb 2008.
    3. Umanath Malaiarasan & R. Paramasivam & K. Thomas Felix & S. J. Balaji, 2020. "Simultaneous equation model for Indian sugar sector," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 113-141, June.
    4. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    5. Tang, Tuck Cheong, 2004. "Demand for broad money and expenditure components in Japan: an empirical study," Japan and the World Economy, Elsevier, vol. 16(4), pages 487-502, December.

  66. Hsiao, Cheng & Nugent, Jeffrey & Perrigne, Isabelle & Qiu, Jicheng, 1998. "Shares versus Residual Claimant Contracts: The Case of Chinese TVEs," Journal of Comparative Economics, Elsevier, vol. 26(2), pages 317-337, June.

    Cited by:

    1. Jihua Che, 2002. "Rent Seeking and Government Ownership of Firms: An Application to China???s Township-Village Enterprises," William Davidson Institute Working Papers Series 497, William Davidson Institute at the University of Michigan.
    2. Ananish Chaudhuri, 1997. "A Dynamic Model of Contractual Choice in Tenancy," Departmental Working Papers 199711, Rutgers University, Department of Economics.
    3. Volpe, Richard III & Park, Timothy A. & Hennessy, David A. & Jensen, Helen H., 2013. "Somatic Cell Counts in Dairy Marketing: Quantile Regression for Count Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151425, Agricultural and Applied Economics Association.
    4. Kung, James Kai-sing & Lin, Yi-min, 2007. "The Decline of Township-and-Village Enterprises in China's Economic Transition," World Development, Elsevier, vol. 35(4), pages 569-584, April.
    5. Minggao Shen & Jikun Huang & Linxiu Zhang & Scott Rozelle, 2010. "Financial reform and transition in China: a study of the evolution of banks in rural China," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(3), pages 305-332, November.
    6. Sonobe, Tetsushi & Hu, Dinghuan & Otsuka, Keijiro, 2006. "Industrial development in the inland region of China: A case study of the motorcycle industry," Journal of Comparative Economics, Elsevier, vol. 34(4), pages 818-838, December.
    7. Ananish Chaudhuri & Pushkar Maitra, 1997. "Determinants of Land Tenure Contracts; Theory and Evidence from Rural India," Departmental Working Papers 199710, Rutgers University, Department of Economics.
    8. Jiahua Che, 2002. "From the Grabbing Hand to the Helping Hand: A Rent Seeking Model of China's Township-Village Enterprises," WIDER Working Paper Series DP2002-13, World Institute for Development Economic Research (UNU-WIDER).
    9. Liu, Deqiang & Otsuka, Keijiro, 2004. "A Comparison of Management Incentives, Abilities, and Efficiency between SOEs and TVEs: The Case of the Iron and Steel Industry in China," Economic Development and Cultural Change, University of Chicago Press, vol. 52(4), pages 759-780, July.
    10. Richard Volpe, 2014. "Supercenters, Unionized Labor, and Performance in Food Retail," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(2), pages 325-355, April.
    11. Chongwoo Choe & Xiangkang Yin, 1998. "Contract Management Responsibility System and Profit Incentives in China's State-Owned Enterprises," Working Papers 1998.06, School of Economics, La Trobe University.
    12. Chen, Hongyi & Rozelle, Scott, 1999. "Leaders, managers, and the organization of township and village enterprises in China," Journal of Development Economics, Elsevier, vol. 60(2), pages 529-557, December.
    13. Tetsushi Sonobe & Keijiro Otsuka, 2003. "Productivity Effects of TVE Privatization: The Case Study of Garment and Metal Casting Enterprises in the Greater Yangtze River Region," NBER Working Papers 9621, National Bureau of Economic Research, Inc.
    14. Lu, Jiangyong & Tao, Zhigang & Yang, Zhi, 2010. "The costs and benefits of government control: Evidence from China's collectively-owned enterprises," China Economic Review, Elsevier, vol. 21(2), pages 282-292, June.
    15. Ananish Chaudhuri & Pushkar Maitra, 2001. "Tenant characteristics and the choice of tenurial contracts in rural India," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(2), pages 169-181.
    16. Qin, Zhong, 2011. "Models of trust-sharing in Chinese private enterprises," Economic Modelling, Elsevier, vol. 28(3), pages 1017-1029, May.
    17. Tian, Guoqiang, 2000. "Property Rights and the Nature of Chinese Collective Enterprises," Journal of Comparative Economics, Elsevier, vol. 28(2), pages 247-268, June.
    18. Sandeep Mohapatra & Rachael Goodhue & Scott Rozelle, 2008. "Incentive Complementarity in China’s Rural Enterprises," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(1), pages 63-79, August.

  67. Hsiao, Cheng & Sun, Bao-Hong, 1998. "Modeling survey response bias - with an analysis of the demand for an advanced electronic device," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 15-39, November.

    Cited by:

    1. Rosalie Viney & Marion Haas & Rochelle Belkar & Denzil G. Fiebig, 2004. "Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer," Econometric Society 2004 Australasian Meetings 109, Econometric Society.
    2. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Joo Heon Park & Douglas L. MacLachlan, 2008. "Estimating Willingness to Pay with Exaggeration Bias-Corrected Contingent Valuation Method," Marketing Science, INFORMS, vol. 27(4), pages 691-698, 07-08.
    4. Li, Tong & Hsiao, Cheng, 2004. "Robust estimation of generalized linear models with measurement errors," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 51-65.
    5. Wing-Keung Wong & Guorui Bian, 2005. "Robust Estimation of Multiple Regression Model with Non-normal Error: Symmetric Distribution," Monash Economics Working Papers 09/05, Monash University, Department of Economics.
    6. Koert Van Ittersum, 2012. "The effect of decision makers’ time perspective on intention–behavior consistency," Marketing Letters, Springer, vol. 23(1), pages 263-277, March.
    7. Peter Moffatt & Simon Peters, 2001. "Testing for the Presence of a Tremble in Economic Experiments," Experimental Economics, Springer;Economic Science Association, vol. 4(3), pages 221-228, December.
    8. Lee, Choong-Ki & Mjelde, James W. & Kim, Tae-Kyun & Lee, Hye-Mi, 2014. "Estimating the intention–behavior gap associated with a mega event: The case of the Expo 2012 Yeosu Korea," Tourism Management, Elsevier, vol. 41(C), pages 168-177.
    9. Ke-Wei Huang, 2009. "Optimal criteria for selecting price discrimination metrics when buyers have log-normally distributed willingness-to-pay," Quantitative Marketing and Economics (QME), Springer, vol. 7(3), pages 321-341, September.

  68. Cheng Hsiao, 1997. "Statistical Properties of the Two-Stage Least Squares Estimator Under Cointegration," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(3), pages 385-398.

    Cited by:

    1. Zhai, Jun & Kuusela, Olli-Pekka, 2023. "An econometric study of Oregon's log and lumber markets: Estimation of price elasticities using two approaches," Forest Policy and Economics, Elsevier, vol. 149(C).
    2. Borowczyk-Martins, Daniel & Jolivet, Grégory & Postel-Vinay, Fabien, 2011. "Accounting For Endogenous Search Behavior in Matching Function Estimation," IZA Discussion Papers 5807, Institute of Labor Economics (IZA).
    3. Roberto Golinelli, 1998. "Fatti stilizzati e metodi econometrici "moderni": una rivisitazione della curva di Phillips per l'Italia (1951-1996)," Politica economica, Società editrice il Mulino, issue 3, pages 411-446.
    4. Bo Wei & Limin Peng & Mei‐Jie Zhang & Jason P. Fine, 2021. "Estimation of causal quantile effects with a binary instrumental variable and censored data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 559-578, July.
    5. V. Pandit, 2008. "Structural Modeling under Challenge," Working Papers id:1622, eSocialSciences.
    6. Rose, Christiern, 2016. "The War on Drugs: An Analysis of the Effects of Supply Disruption on Prices and Purity," TSE Working Papers 16-643, Toulouse School of Economics (TSE).
    7. Christis Katsouris, 2023. "Structural Analysis of Vector Autoregressive Models," Papers 2312.06402, arXiv.org, revised Feb 2024.
    8. Wheeler, Sarah Ann & Bjornlund, Henning & Shanahan, Martin & Zuo, Alec, 2008. "Price elasticity of water allocations demand in the Goulburn–Murray Irrigation District," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(1), pages 1-19.
    9. Philippe de Peretti & Barnett William, 2009. "Admissible Clustering Of Aggregator Components: A Necessary And Sufficient Stochastic Seminonparametric Test For Weak Separability," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00646786, HAL.
    10. Li Chen & Jiti Gao & Farshid Vahid, 2019. "Global temperatures and greenhouse gases - a common features approach," Working Papers 2019-07-15, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    11. Natsuko Iwasaki & Barry Seldon & Victor Tremblay, 2008. "Brewing Wars of Attrition for Profit (and Concentration)," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(4), pages 263-279, December.
    12. Hsiao, Cheng & Wang, Siyan, 2006. "Modified two-stage least-squares estimators for the estimation of a structural vector autoregressive integrated process," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 427-463.
    13. Hsiao, Cheng & Fujiki, Hiroshi, 1998. "Nonstationary Time-Series Modeling versus Structural Equation Modeling: With an Application to Japanese Money Demand," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 16(1), pages 57-79, May.
    14. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    15. Dua, Pami & Kapur, Hema, 2018. "Macro stress testing and resilience assessment of Indian banking," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 452-475.
    16. Norah Al-Ballaa, 2005. "Test for cointegration based on two-stage least squares," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 707-713.
    17. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2002. "Aggregate vs Disaggregate Data Analysis - A Paradox in the Estimation of Money Demand Function of Japan Under the Low Interest Rate Policy," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A4-1, International Conferences on Panel Data.
    18. V. Pandit, 2001. "Structural Modelling Under Challenge," Working papers 98, Centre for Development Economics, Delhi School of Economics.
    19. Torfinn Harding & Anthony J Venables, 2016. "The Implications of Natural Resource Exports for Nonresource Trade," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(2), pages 268-302, June.
    20. Antoni, 2012. "Monetary policy and inflation targeting in a small open economy," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(2), pages 187-198, April.
    21. Adam Daigneault & Brent Sohngen, 2008. "Estimating Welfare Effects from Supply Shocks with Dynamic Factor Demand Models," NCEE Working Paper Series 200803, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Feb 2008.
    22. Moreira, Tito Belchior S., 2011. "Brazil: an empirical study on fiscal policy transmission," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    23. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    24. Rolando Einar Paz Rodriguez, 2019. "La función de emparejamiento agregada del mercado laboral chileno," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(1), pages 85-110, April.
    25. Torfinn Harding & Frederick Ploeg, 2013. "Official forecasts and management of oil windfalls," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(5), pages 827-866, October.
    26. Borzykowski, Nicolas, 2017. "The Swiss market for construction wood : estimating elasticities with time series simultaneous equations," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258659, Agricultural Economics Society.
    27. Bornali Bhandari, 2013. "Cross-Price Effects and US Trade Elasticities," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(3), pages 273-313, August.
    28. Daniel Borowczyk-Martins & Grégory Jolivet & Fabien Postel-Vinay, 2013. "Accounting for Endogeneity in Matching Function Estimation," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03473875, HAL.
    29. Moreira, Tito Belchior Silva & Souza, Geraldo Silva & Ellery, Roberto, 2013. "An Evaluation of the tolerant to higher inflation rate in the short run by the Brazilian Central Bank in the period 2001-2012," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    30. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    31. Jeffrey D. McDonald & Daniel A. Sumner, 2003. "The Influence of Commodity Programs on Acreage Response to Market Price: With an Illustration Concerning Rice Policy in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 857-871.
    32. Eric Hillebrand & Faik Koray, 2008. "Interest rate volatility and home mortgage loans," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2381-2385.
    33. Calderon,Cesar & Loayza,Norman V. & Serven,Luis & Calderon, Cesar*Loayza, Norman*Serven, Luis, 2003. "Do capital flows respond to risk and return?," Policy Research Working Paper Series 3059, The World Bank.
    34. Sekhar, C. S. C., 2003. "Price formation in world wheat markets -- implications for policy," Journal of Policy Modeling, Elsevier, vol. 25(1), pages 85-106, January.
    35. R. Golinelli, 1998. "Fatti stilizzati e metodi econometrici "Moderni": una rivalutazione della Curva di Phillips per l'Italia (1951-1996)," Working Papers 313, Dipartimento Scienze Economiche, Universita' di Bologna.
    36. Parajuli, Rajan & Sarangi, Sudipta & Chang, Sun Joseph & Hill, R. Carter, 2016. "The United States-Canada softwood lumber trade: An actual versus optimal export tax," Forest Policy and Economics, Elsevier, vol. 73(C), pages 112-119.
    37. Golinelli, Roberto & Rovelli, Riccardo, 2005. "Monetary policy transmission, interest rate rules and inflation targeting in three transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 183-201, January.
    38. Martin-Mayoral, Fernando & Proaño, Maria Belén, 2012. "Las remesas en América Latina, ¿amenaza u oportunidad? [Remittances in Latin America, a threat or an opportunity?]," MPRA Paper 43730, University Library of Munich, Germany.
    39. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    40. Parajuli, Rajan & Zhang, Daowei & Chang, Sun Joseph, 2016. "Modeling stumpage markets using vector error correction vs. simultaneous equation estimation approach: A case of the Louisiana sawtimber market," Forest Policy and Economics, Elsevier, vol. 70(C), pages 16-19.
    41. Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Dec 2023.
    42. Price, Simon & Nasim, Anjum, 1998. "Modelling inflation and the demand for money in Pakistan; cointegration and the causal structure," Economic Modelling, Elsevier, vol. 16(1), pages 87-103, January.
    43. Abdul Karim, Zulkefly & Md. Said, Fathin Faezah & Jusoh, Mansor & Md. Thahir, Md. Zyadi, 2009. "Monetary policy and inflation targeting in a small open-economy," MPRA Paper 23949, University Library of Munich, Germany, revised 10 Jan 2010.
    44. Andras Tothmihaly, 2017. "How low is the price elasticity in the global cocoa market?," GlobalFood Discussion Papers 258587, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    45. Akbar, Muhammad & Jamil, Faisal, 2012. "Monetary and fiscal policies' effect on agricultural growth: GMM estimation and simulation analysis," Economic Modelling, Elsevier, vol. 29(5), pages 1909-1920.
    46. Fabio Bacchini, Maria Elena Bontempi, Cristina Brandimarte, Roberto Golinelli, Cecilia Jona-Lasinio, Carmine Pappalardo, 2013. "The Macroeconometric Models For Italy (Memo-It): Policy Evaluation And Future Challanges," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 172-179, April-Jun.

  69. Cheng Hsiao, 1997. "Cointegration and Dynamic Simultaneous Equations Model," Econometrica, Econometric Society, vol. 65(3), pages 647-670, May.

    Cited by:

    1. Jaebeom Kim & Masao Ogaki & Minseok Yang, 2007. "Structural Error Correction Models: A System Method for Linear Rational Expectations Models and an Application to an Exchange Rate Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2057-2075, December.
    2. D. S. Poskitt, 2004. "On The Identification and Estimation of Partially Nonstationary ARMAX Systems," Monash Econometrics and Business Statistics Working Papers 20/04, Monash University, Department of Econometrics and Business Statistics.
    3. Zhai, Jun & Kuusela, Olli-Pekka, 2023. "An econometric study of Oregon's log and lumber markets: Estimation of price elasticities using two approaches," Forest Policy and Economics, Elsevier, vol. 149(C).
    4. K Alec Chrystal & Paul Mizen, 2001. "Consumption, money and lending: a joint model for the UK household sector," Bank of England working papers 134, Bank of England.
    5. Petter Vegard Hansen & Lars Lindholt, 2008. "The market power of OPEC 1973-2001," Applied Economics, Taylor & Francis Journals, vol. 40(22), pages 2939-2959.
    6. V. Pandit, 2008. "Structural Modeling under Challenge," Working Papers id:1622, eSocialSciences.
    7. Considine, Timothy J., 2018. "Estimating concave substitution possibilities with non-stationary data using the dynamic linear logit demand model," Economic Modelling, Elsevier, vol. 72(C), pages 22-30.
    8. B. Stephen Labson & Gordon C. Rausser, 1992. "Modeling Phased Reduction of Distortionary Policies in the U.S. Wheat Market under Alternative Macroeconomic Environments," Center for Agricultural and Rural Development (CARD) Publications 90-gatt11, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    9. In Choi & Peter C.B. Phillips, 1997. "Regressions for Partially Identified, Cointegrated Simultaneous Equations," Cowles Foundation Discussion Papers 1162, Cowles Foundation for Research in Economics, Yale University.
    10. Dincecco, Mark & Katz, Gabriel, 2012. "State Capacity and Long-Run Performance," MPRA Paper 38299, University Library of Munich, Germany.
    11. Chen Pu & Flaschel Peter, 2006. "Measuring the Interaction of Wage and Price Phillips Curves for the U.S. Economy," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-35, December.
    12. Biørn, Erik, 2012. "An Econometric Market Model of Capital and Investment Inspired by Haavelmo," Memorandum 11/2012, Oslo University, Department of Economics.
    13. Dua, Pami & Kapur, Hema, 2018. "Macro stress testing and resilience assessment of Indian banking," Journal of Policy Modeling, Elsevier, vol. 40(2), pages 452-475.
    14. Cheng Hsiao & Yan Shen & Hiroshi Fujiki, 2002. "Aggregate vs Disaggregate Data Analysis - A Paradox in the Estimation of Money Demand Function of Japan Under the Low Interest Rate Policy," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A4-1, International Conferences on Panel Data.
    15. V. Pandit, 2001. "Structural Modelling Under Challenge," Working papers 98, Centre for Development Economics, Delhi School of Economics.
    16. Antoni, 2012. "Monetary policy and inflation targeting in a small open economy," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 4(2), pages 187-198, April.
    17. Kapteyn, A. & Kalwij, A. & Zaidi, A., 2000. "The Myth of Worksharing," Economics Series Working Papers 9932, University of Oxford, Department of Economics.
    18. Adam Daigneault & Brent Sohngen, 2008. "Estimating Welfare Effects from Supply Shocks with Dynamic Factor Demand Models," NCEE Working Paper Series 200803, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Feb 2008.
    19. Krishnakumar, Jaya, 2001. "A short comment on the JE Open forum essays," Journal of Econometrics, Elsevier, vol. 100(1), pages 77-78, January.
    20. Megumi Kubota, "undated". "Real Exchange Rate Misalignments: Theoretical Modelling and Empirical Evidence," Discussion Papers 09/24, Department of Economics, University of York.
    21. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    22. Umanath Malaiarasan & R. Paramasivam & K. Thomas Felix & S. J. Balaji, 2020. "Simultaneous equation model for Indian sugar sector," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 22(1), pages 113-141, June.
    23. Wai-Ching Poon, 2010. "A monetary policy rule: The augmented Monetary Conditions Index for Philippines using UECM and bounds tests," Monash Economics Working Papers 04-10, Monash University, Department of Economics.
    24. C. S. C. Sekhar, 2010. "Structure of the World Wheat Market: Some Implications for Strategic Trade Policy?," Journal of Quantitative Economics, The Indian Econometric Society, vol. 8(2), pages 142-158.
    25. Pami Dua, 2009. "Determination of Inflation in an Open Economy Phillips Curve Framework: The Case of Developed and Developing Asian Countries," Working Papers id:1973, eSocialSciences.
    26. Borzykowski, Nicolas, 2017. "The Swiss market for construction wood : estimating elasticities with time series simultaneous equations," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258659, Agricultural Economics Society.
    27. Keshab Shrestha & Kok Tan, 2005. "Real Interest Rate Parity: Long-Run and Short-Run Analysis Using Wavelets," Review of Quantitative Finance and Accounting, Springer, vol. 25(2), pages 139-157, September.
    28. Fedderke, Johannes W. & Hill, Andrew J., 2011. "Industry structure and labor market flexibility in the South African manufacturing sector: A time series and panel data approach," Economic Modelling, Elsevier, vol. 28(3), pages 1291-1302, May.
    29. Bornali Bhandari, 2013. "Cross-Price Effects and US Trade Elasticities," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(3), pages 273-313, August.
    30. Moreira, Tito Belchior Silva & Souza, Geraldo Silva & Ellery, Roberto, 2013. "An Evaluation of the tolerant to higher inflation rate in the short run by the Brazilian Central Bank in the period 2001-2012," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    31. Fedderke, J. W. & Liu, W., 2002. "Modelling the determinants of capital flows and capital flight: with an application to South African data from 1960 to 1995," Economic Modelling, Elsevier, vol. 19(3), pages 419-444, May.
    32. Song, Nianfu & Chang, Sun Joseph & Aguilar, Francisco X., 2011. "U.S. softwood lumber demand and supply estimation using cointegration in dynamic equations," Journal of Forest Economics, Elsevier, vol. 17(1), pages 19-33, January.
    33. Jeffrey D. McDonald & Daniel A. Sumner, 2003. "The Influence of Commodity Programs on Acreage Response to Market Price: With an Illustration Concerning Rice Policy in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 857-871.
    34. Eric Hillebrand & Faik Koray, 2008. "Interest rate volatility and home mortgage loans," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2381-2385.
    35. Ragnar Nymoen & Victoria Sparrman & Bjorn Dapi, 2019. "Robustness of the Norwegian wage formation system and free EU labour movement. Evidence from wage data for natives," Discussion Papers 895, Statistics Norway, Research Department.
    36. Sasa OBRADOVIĆ & Nemanja LOJANICA, 2019. "Export-Led Growth: Evidence from Post-Communist Serbia," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 131-145, June.
    37. Annie Corbin, 2004. "Capital mobility and adjustment of the current account imbalances: a bounds testing approach to cointegration in 12 countries (1880-2001)," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 257-276.
    38. Sekhar, C. S. C., 2003. "Price formation in world wheat markets -- implications for policy," Journal of Policy Modeling, Elsevier, vol. 25(1), pages 85-106, January.
    39. Carlo Fezzi & Derek Bunn, 2010. "Structural Analysis of Electricity Demand and Supply Interactions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 827-856, December.
    40. Wai Ching Poon, 2010. "Augmented MCi: AN Indicator Of Monetary Policy Stance For ASEAN-5?," Monash Economics Working Papers 25-10, Monash University, Department of Economics.
    41. Golinelli, Roberto & Rovelli, Riccardo, 2005. "Monetary policy transmission, interest rate rules and inflation targeting in three transition countries," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 183-201, January.
    42. Borzykowski, Nicolas, 2019. "A supply-demand modeling of the Swiss roundwood market: Actors responsiveness and CO2 implications," Forest Policy and Economics, Elsevier, vol. 102(C), pages 100-113.
    43. Dinica, Mihai Cristian & Armeanu, Daniel, 2014. "The Optimal Hedging Ratio for Non-Ferrous Metals," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 105-122, March.
    44. Parajuli, Rajan & Zhang, Daowei & Chang, Sun Joseph, 2016. "Modeling stumpage markets using vector error correction vs. simultaneous equation estimation approach: A case of the Louisiana sawtimber market," Forest Policy and Economics, Elsevier, vol. 70(C), pages 16-19.
    45. Shabtai Donnenfeld & Alfred A. Haug, 2008. "Currency invoicing of US imports," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 184-198.
    46. Wai Ching Poon, 2010. "Testing Transmission Mechanisms on Economic Growth in Malaysia," Monash Economics Working Papers 26-10, Monash University, Department of Economics.
    47. Price, Simon & Nasim, Anjum, 1998. "Modelling inflation and the demand for money in Pakistan; cointegration and the causal structure," Economic Modelling, Elsevier, vol. 16(1), pages 87-103, January.
    48. Juhl, Ted & Xiao, Zhijie, 2005. "Testing for cointegration using partially linear models," Journal of Econometrics, Elsevier, vol. 124(2), pages 363-394, February.
    49. Abdul Karim, Zulkefly & Md. Said, Fathin Faezah & Jusoh, Mansor & Md. Thahir, Md. Zyadi, 2009. "Monetary policy and inflation targeting in a small open-economy," MPRA Paper 23949, University Library of Munich, Germany, revised 10 Jan 2010.
    50. Andras Tothmihaly, 2017. "How low is the price elasticity in the global cocoa market?," GlobalFood Discussion Papers 258587, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    51. Chee‐Ruey Hsieh & Teh‐Wei Hu & Chien‐Fu Jeff Lin, 1999. "The Demand For Cigarettes In Taiwan: Domestic Versus Imported Cigarettes," Contemporary Economic Policy, Western Economic Association International, vol. 17(2), pages 223-234, April.
    52. Heejoon Kang, 1999. "The Applied Cointegration Analysis for the Open Economy: A Critical Review," Open Economies Review, Springer, vol. 10(3), pages 325-346, July.
    53. Kim, In-Moo & Park, Joon Y., 2005. "Iterative Maximum Likelihood Estimation of Cointegrating Vectors," Working Papers 2005-02, Rice University, Department of Economics.
    54. Ragnar Nymoen, 2017. "Between Institutions and Global Forces: Norwegian Wage Formation Since Industrialisation," Econometrics, MDPI, vol. 5(1), pages 1-54, January.
    55. Sanjib Bhuyan, 2014. "Visiting an old battleground in empirical industrial organization: SCP versus NEIO," Applied Economics Letters, Taylor & Francis Journals, vol. 21(11), pages 751-754, July.
    56. Davidson, James, 1998. "Structural relations, cointegration and identification: some simple results and their application," Journal of Econometrics, Elsevier, vol. 87(1), pages 87-113, August.
    57. Jaebeom Kim & Masao Ogaki & Minseok Yang, 2003. "Structural Error Correction Models: Instrumental Variables Methods and an application to an exchange rate model," RCER Working Papers 502, University of Rochester - Center for Economic Research (RCER).
    58. Fabio Bacchini, Maria Elena Bontempi, Cristina Brandimarte, Roberto Golinelli, Cecilia Jona-Lasinio, Carmine Pappalardo, 2013. "The Macroeconometric Models For Italy (Memo-It): Policy Evaluation And Future Challanges," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 67(2), pages 172-179, April-Jun.
    59. Wai-Ching Poon, 2008. "Does Credit Channel Matter in the Conduct of Monetary Policy in Singapore?," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(3), pages 40-50, August.
    60. Dutkowsky, Donald H. & McCoskey, Suzanne K., 2001. "Near integration, bank reluctance, and discount window borrowing," Journal of Banking & Finance, Elsevier, vol. 25(6), pages 1013-1036, June.

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    Cited by:

    1. Basalisco, Bruno, 2012. "The effect of user interaction on the demand for mobile text messages: Evidence from cross-country data," Information Economics and Policy, Elsevier, vol. 24(2), pages 132-144.
    2. Amaral, Teodosio Perez & Gonzalez, Francisco Alvarez & Jimenez, Bernardo Moreno, 1995. "Business telephone traffic demand in Spain: 1980-1991, an econometric approach," Information Economics and Policy, Elsevier, vol. 7(2), pages 115-134, June.
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    4. Wellmann, Nicolas, 2017. "OTT-Messaging and Mobile Telecommunication: A Joint Market? An Empirical Approach," 28th European Regional ITS Conference, Passau 2017 169503, International Telecommunications Society (ITS).
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    2. Choi, In & Park, Daekeun, 2008. "Causal relation between interest and exchange rates in the Asian currency crisis," Japan and the World Economy, Elsevier, vol. 20(3), pages 435-452, August.
    3. Rohin Anhal, 2013. "Causality between GDP, Energy and Coal Consumption in India, 1970-2011: A Non-parametric Bootstrap Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 434-446.
    4. Ghassan, Hassan B. & ElHafidi, Miloud, 1999. "Tests de G-causalité et spécification d’un modèle économétrique: Application sur un panel sectoriel marocain [G-causality tests and specification of an econometric model: Evidence form Sectoral Mor," MPRA Paper 56433, University Library of Munich, Germany, revised 13 Jan 2000.
    5. Al-Sadoon, Majid M., 2014. "Geometric and long run aspects of Granger causality," Journal of Econometrics, Elsevier, vol. 178(P3), pages 558-568.
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    19. Magdalena Osinska, 2011. "On the Interpretation of Causality in Granger’s Sense," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 129-140.
    20. Salih Turan Katırcıoglu & Sami Fethı & Meryem Duygun Fethı, 2009. "Twin deficits phenomenon in small islands: an empirical investigation by panel data analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1569-1573.
    21. Tsangyao Chang & Wenshwo Fang & Li-Fang Wen, 2001. "Energy consumption, employment, output, and temporal causality: evidence from Taiwan based on cointegration and error-correction modelling techniques," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 1045-1056.
    22. Hui-Boon Tan & Eng Tuck Cheah & Johnnie Johnson & Ming-Chien Sung & Chong Hin Chuah, 2011. "Stock Market Capitalization and Financial Integration in the Asia Pacific Region," Post-Print hal-00684298, HAL.
    23. Willem H. Buiter, 1981. "Granger-Causality and Stabilization Policy," NBER Technical Working Papers 0010, National Bureau of Economic Research, Inc.
    24. Singh, Manish K. & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2021. "Quantifying sovereign risk in the euro area," Economic Modelling, Elsevier, vol. 95(C), pages 76-96.
    25. Francisco F. R. Ramos, 1996. "The Forecasting Accuracy of Five Time Series Models: Evidence from the Portuguese Car Market," Econometrics 9604002, University Library of Munich, Germany.
    26. Hwanjoon Kim, 2000. "Do Welfare States Reduce Poverty? A Critical Shortcoming in the Standard Analysis of the Anti-Poverty Effect of Welfare States," LIS Working papers 233, LIS Cross-National Data Center in Luxembourg.
    27. Tsangyao Chang & WentRong Liu & Michael Thompson, 2002. "The Viability of Fiscal Policy in South Korea, Taiwan, and Thailand," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0209, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    28. George W. Gallinger, 1994. "Causality Tests Of The Real Stock Return-Real Activity Hypothesis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(2), pages 271-288, June.
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    30. T. Chang & W. Fang & W. Liu & Thompson Henry, 2000. "Exports, Imports and Income in Taiwan: An Examination of the Export Led Growth Hypothesis," International Economic Journal, Taylor & Francis Journals, vol. 14(2), pages 151-160.
    31. Cook, Steven, 2007. "On the relationship between mergers and economic activity: Evidence from an optimised hybrid method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(2), pages 628-634.
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    33. Ralph Kober & Deryl Northcott, 2021. "Testing cause‐and‐effect relationships within a balanced scorecard," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1815-1849, April.
    34. Chi-Wei Su & Yahn-Shir Chen & Hsu-Ling Chang, 2007. "Stock Prices and Dividends in Taiwan's Stock Market: Evidence Based on Time-Varying Present Value Model," Economics Bulletin, AccessEcon, vol. 7(4), pages 1-12.

  90. Hsiao, Cheng, 1977. "Identification for a Linear Dynamic Simultaneous Error-Shock Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(1), pages 181-194, February.

    Cited by:

    1. George Halkos & Kyriaki Tsilika, 2015. "Programming Identification Criteria in Simultaneous Equation Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 157-170, June.
    2. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.

  91. Hsiao, Cheng, 1976. "Identification and Estimation of Simultaneous Equation Models with Measurement Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 17(2), pages 319-339, June.

    Cited by:

    1. Bekker, Paul & Kapteyn, Arie & Wansbeek, Tom, 1987. "Consistent Sets of Estimates for Regressions with Correlated or Uncorrelated Measurement Errors in Arbitrary Subsets of All Variables," Econometrica, Econometric Society, vol. 55(5), pages 1223-1230, September.
    2. George Halkos & Kyriaki Tsilika, 2015. "Programming Identification Criteria in Simultaneous Equation Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 157-170, June.
    3. Cheng Hsiao & P. M. Robinson, 1976. "Efficient Estimation of a Dynamic Error-Shock Model," NBER Working Papers 0157, National Bureau of Economic Research, Inc.
    4. P. Bentler & David Weeks, 1980. "Linear structural equations with latent variables," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 289-308, September.
    5. Shalabh & Garg, Gaurav & Misra, Neeraj, 2009. "Use of prior information in the consistent estimation of regression coefficients in measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1498-1520, August.
    6. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
    7. Carl E. Walsh, 1981. "Measurement Error and the Flow of Funds Accounts: Estimates of HouseholdAsset Demand Equations," NBER Working Papers 0732, National Bureau of Economic Research, Inc.

  92. Hsiao, Cheng, 1975. "Some Estimation Methods for a Random Coefficient Model," Econometrica, Econometric Society, vol. 43(2), pages 305-325, March.

    Cited by:

    1. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    2. 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.
    3. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    4. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
    5. Obwana, M.B. & Kalirajan, K.P. & Shand, R.T., 1997. "On Measuring Farmer-Specific and Input-Specific Allocative Efficiency," 1997 Occasional Paper Series No. 7 198063, International Association of Agricultural Economists.
    6. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Papers 2208.03632, arXiv.org, revised Apr 2023.
    7. Fabrice Murtin, 2007. "The Structural Change and the Endogeneity Bias of the College Premium in the United States 1968-2001"," Working Papers 2007-14, Center for Research in Economics and Statistics.
    8. Biørn, Erik, 2012. "Estimating SUR Systems with Random Coefficients: The Unbalanced Panel Data Case," Memorandum 22/2012, Oslo University, Department of Economics.
    9. Ward, Ronald W. & Tilley, Daniel S., 1980. "Time Varying Parameters with Random Components: The Orange Juice Industry," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 12(2), pages 5-13, December.
    10. Buchinsky, Moshe, 1995. "Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963-1987," Journal of Econometrics, Elsevier, vol. 65(1), pages 109-154, January.
    11. Cho, Guedae & Sheldon, Ian M. & McCorriston, Steve, 2000. "Exchange Rate Misalignment And Agricultural Trade," 2000 Annual meeting, July 30-August 2, Tampa, FL 21824, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    13. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    14. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    15. Alain Trognon, 2003. "L'économétrie des panels en perspective," Revue d'économie politique, Dalloz, vol. 113(6), pages 727-748.
    16. Erik Biørn & Kjersti-Gro Lindquist & Terje Skjerpen, 2002. "Heterogeneity in Returns to Scale: A Random Coefficient Analysis with Unbalanced Panel Data," Journal of Productivity Analysis, Springer, vol. 18(1), pages 39-57, July.
    17. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    18. Swarnjit S. Arora & Murray Brown, 1977. "Alternative Approaches to Spatial Autocorrelation: An Improvement Over Current Practice," International Regional Science Review, , vol. 2(1), pages 67-78, October.
    19. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    20. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    21. Montezuma Dumangane & Nicoletta Rosati & Anna Volossovitch, 2009. "Departure from independence and stationarity in a handball match," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 723-741.
    22. Hans H. Bauer & Marc Fischer, 2001. "Ein Ansatz zur simultanen Messung von Kannibalisierungs-, substitutiven Konkurrenz- und Neukäufereffekten am Beispiel von line extensions," Schmalenbach Journal of Business Research, Springer, vol. 53(5), pages 455-477, August.
    23. Michael Fung, 2004. "Technological Opportunity and Productivity of R&D Activities," Journal of Productivity Analysis, Springer, vol. 21(2), pages 167-181, March.
    24. Lin, Winston T. & Chen, Yueh H. & Hung, TingShu, 2019. "A partial adjustment valuation approach with stochastic and dynamic speeds of partial adjustment to measuring and evaluating the business value of information technology," European Journal of Operational Research, Elsevier, vol. 272(2), pages 766-779.
    25. Autcha Araveeporn, 2020. "Comparing Parameter Estimation of Random Coefficient Autoregressive Model by Frequentist Method," Mathematics, MDPI, vol. 8(1), pages 1-17, January.
    26. Junankar, Pramod N. (Raja) & Madsen, Jakob B., 2004. "Unemployment in the OECD: Models and Mysteries," IZA Discussion Papers 1168, Institute of Labor Economics (IZA).
    27. Timothy Neal & Michael Keane, 2020. "Climate Change and U.S. Agriculture: Accounting for Multi-dimensional Slope Heterogeneity in Production Functions," Discussion Papers 2018-08a, School of Economics, The University of New South Wales.
    28. Kwan, Simon H., 1996. "Firm-specific information and the correlation between individual stocks and bonds," Journal of Financial Economics, Elsevier, vol. 40(1), pages 63-80, January.
    29. Biorn,E., 1999. "Random coefficients in regression equation systems : the case with unbalanced panel data," Memorandum 27/1999, Oslo University, Department of Economics.

  93. Hsiao, Cheng, 1974. "Statistical Inference for a Model with Both Random Cross-Sectional and Time Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 12-30, February.

    Cited by:

    1. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2020. "Modelling Time-Varying Parameters in Panel Data State-Space Frameworks: An Application to the Feldstein–Horioka Puzzle," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 87-114, June.
    2. 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.
    3. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 435-452, December.
    4. Timothy Neal, 2016. "Multidimensional Parameter Heterogeneity in Panel Data Models," Discussion Papers 2016-15, School of Economics, The University of New South Wales.
    5. Yaguchi, Yu, 1994. "A panel data approach to the intercountry metaproduction function," ISU General Staff Papers 1994010108000018181, Iowa State University, Department of Economics.
    6. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.
    7. Jin Seo Cho & Peter C. B. Phillips & Juwon Seo, 2019. "Parametric Inference on the Mean of Functional Data Applied to Lifetime Income Curves," Working papers 2019rwp-153, Yonsei University, Yonsei Economics Research Institute.
    8. Ruofan Xu & Jiti Gao & Tatsushi Oka & Yoon-Jae Whang, 2022. "Estimation of Heterogeneous Treatment Effects Using Quantile Regression with Interactive Fixed Effects," Papers 2208.03632, arXiv.org, revised Apr 2023.
    9. Jin Seo Cho & Peter C. B. Phillips & Juwon Seo, 2022. "Parametric Conditional Mean Inference With Functional Data Applied To Lifetime Income Curves," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 391-456, February.
    10. Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
    11. Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Papers 2305.19921, arXiv.org.
    12. Paniagua, Jordi & Sapena, Juan & Tamarit, Cecilio, 2017. "Sovereign debt spreads in EMU: The time-varying role of fundamentals and market distrust," Journal of Financial Stability, Elsevier, vol. 33(C), pages 187-206.
    13. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
    14. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    15. Montezuma Dumangane & Nicoletta Rosati & Anna Volossovitch, 2009. "Departure from independence and stationarity in a handball match," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(7), pages 723-741.
    16. BAYALE, Nimonka, 2018. "Quel volume d’aide internationale pour la croissance dans l’UEMOA ? [What amount of foreign aid for economic growth in WAEMU?]," MPRA Paper 88886, University Library of Munich, Germany, revised 07 Sep 2018.
    17. Kwan, Simon H., 1996. "Firm-specific information and the correlation between individual stocks and bonds," Journal of Financial Economics, Elsevier, vol. 40(1), pages 63-80, January.

Chapters

  1. An Yonghong & Hsiao Cheng & Li Dong, 2016. "Semiparametric Estimation of Partially Linear Varying Coefficient Panel Data Models," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 47-65, Emerald Group Publishing Limited.

    Cited by:

    1. 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.
    2. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    3. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    4. Du, Kerui & Yu, Ying & Li, Jing, 2020. "Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model," Energy Economics, Elsevier, vol. 92(C).

  2. Aigner, Dennis J. & Hsiao, Cheng & Kapteyn, Arie & Wansbeek, Tom, 1984. "Latent variable models in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 23, pages 1321-1393, Elsevier.

    Cited by:

    1. Denyse L. Dagenais & Marcel Dagenais, 1995. "Higher Moment Estimators for Linear Regression Models With Errors in the Variables," CIRANO Working Papers 95s-13, CIRANO.
    2. Joseph G. Altonji & John C. Ham, 1986. "Variation in Employment Growth in Canada: The Role of External, National, Regional and Industrial Factors," NBER Working Papers 1816, National Bureau of Economic Research, Inc.
    3. Di Tommaso Maria Laura & Shima Isilda & Steinar Strom & Bettio Francesca, 2007. "As Bad as it Gets: Well Being Deprivation of Sexually Exploited Trafficked women," Department of Economics and Statistics Cognetti de Martiis. Working Papers 200703, University of Turin.
    4. Bekker, Paul & Kapteyn, Arie & Wansbeek, Tom, 1987. "Consistent Sets of Estimates for Regressions with Correlated or Uncorrelated Measurement Errors in Arbitrary Subsets of All Variables," Econometrica, Econometric Society, vol. 55(5), pages 1223-1230, September.
    5. Kapteyn, A. & Van De Ger, S. & Van De Stadt, H. & Wansbeek, T., 1989. "Interdependent Preferences: An Econometric Analysis," Papers 8954, Tilburg - Center for Economic Research.
    6. Flavio Cunha & James J. Heckman, 2009. "The Economics and Psychology of Inequality and Human Development," Working Papers 200934, Geary Institute, University College Dublin.
    7. Ramses Abul Naga, 2008. "Biases of the ordinary least squares and instrumental variables estimators of the intergenerational earnings elasticity: Revisited in the light of panel data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 6(4), pages 323-350, December.
    8. Almlund, Mathilde & Duckworth, Angela Lee & Heckman, James & Kautz, Tim, 2011. "Personality Psychology and Economics," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 1-181, Elsevier.
    9. Tindara Addabbo & Maria Laura Di Tommaso & Gisella Facchinetti, 2004. "To what extent fuzzy set theory and structural equation modelling can measure functionings? An application to child well being," CHILD Working Papers wp30_04, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    10. Brumm, Harold J, 2000. "Inflation and Central Bank Independence: Conventional Wisdom Redux," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(4), pages 807-819, November.
    11. Lena Boneva & David Elliott & Iryna Kaminska & Oliver Linton & Nick McLaren & Ben Morley, 2022. "The Impact of Corporate QE on Liquidity: Evidence from the UK," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2615-2643.
    12. Christopher R. Bollinger, 2001. "Response Error and the Union Wage Differential," Southern Economic Journal, John Wiley & Sons, vol. 68(1), pages 60-76, July.
    13. Carmichael, Benoît & Coën, Alain, 2008. "Asset pricing models with errors-in-variables," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 778-788, September.
    14. Yingyao Hu & Yang Liu & Jiaxiong Yao, 2022. "Revealing Unobservables by Deep Learning: Generative Element Extraction Networks (GEEN)," Papers 2210.01300, arXiv.org.
    15. Dagenais, Marcel G. & Dagenais, Denyse L., 1997. "Higher moment estimators for linear regression models with errors in the variables," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 193-221.
    16. de Melo, Jaime & Winters, L. Alan, 1990. "Voluntary export restraints and resource allocation in exporting countries," Policy Research Working Paper Series 352, The World Bank.
    17. Raiser, M. & Di Tommaso, M.L. & Weeks, M., 2000. "The Measurement and Determination of Institutional Change: Evidence from Transition Economics," Cambridge Working Papers in Economics 0029, Faculty of Economics, University of Cambridge.
    18. Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2004. "Worst-case estimation and asymptotic theory for models with unobservables," DEE - Working Papers. Business Economics. WB wb045518, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    19. P. Bentler, 1983. "Some contributions to efficient statistics in structural models: Specification and estimation of moment structures," Psychometrika, Springer;The Psychometric Society, vol. 48(4), pages 493-517, December.
    20. Maria Laura Di Tommaso, 2006. "Measuring the well being of children using a capability approach An application to Indian data," CHILD Working Papers wp05_06, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
    21. Paul J. Gertler, 1985. "A Latent Variable Model of Quality Determination," NBER Working Papers 1750, National Bureau of Economic Research, Inc.
    22. Di Tommaso, Maria Laura & Maccagnan, Anna & Mendolia, Silvia, 2018. "The Gender Gap in Attitudes and Test Scores: a new construct of the mathematical capability," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201815, University of Turin.
    23. Eijffinger, S.C.W. & Hoeberichts, M.M., 1998. "The trade off between central bank independence and conservativeness," Other publications TiSEM edcd13f6-471a-415a-b14e-5, Tilburg University, School of Economics and Management.
    24. Vesa Kanniainen & Jenni Pääkkönen, 2010. "Do the catholic and protestant countries differ by their tax morale?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(3), pages 271-290, July.
    25. Machado, Matilde P., 2003. "A consistent estimator for the binomial distribution in the presence of "incidental parameters": an application to patent data," UC3M Working papers. Economics we031905, Universidad Carlos III de Madrid. Departamento de Economía.
    26. Brumm, Harold J., 2002. "Inflation and Central Bank independence revisited," Economics Letters, Elsevier, vol. 77(2), pages 205-209, October.
    27. Ben-Moshe, Dan, 2018. "Identification Of Joint Distributions In Dependent Factor Models," Econometric Theory, Cambridge University Press, vol. 34(1), pages 134-165, February.
    28. Coen, Alain & Racicot, Francois-Eric, 2007. "Capital asset pricing models revisited: Evidence from errors in variables," Economics Letters, Elsevier, vol. 95(3), pages 443-450, June.
    29. Golob, Thomas F., 2011. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt2pn5j58n, University of California Transportation Center.
    30. Bekker, Paul A. & Lawford, Steve, 2008. "Symmetry-based inference in an instrumental variable setting," Journal of Econometrics, Elsevier, vol. 142(1), pages 28-49, January.
    31. Friedrich Schneider, 2009. "Size and Development of the Shadow Economy in Germany, Austria and Other oecd-Countries. Some Preliminary Findings," Revue économique, Presses de Sciences-Po, vol. 60(5), pages 1079-1116.
    32. Tindara Addabbo & Elena Sarti, 2013. "Access to work and disability: the case of Italy," Center for the Analysis of Public Policies (CAPP) 0107, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    33. Di Tommaso, Maria Laura, 2007. "Children capabilities: A structural equation model for India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(3), pages 436-450, June.
    34. Paul J. Gertler, 1985. "Subsidies, Quality, and Regulation in the Nursing Home Industry," NBER Working Papers 1691, National Bureau of Economic Research, Inc.
    35. Simon Freyaldenhoven & Christian Hansen & Jorge Perez Perez & Jesse Shapiro, 2021. "Visualization, Identification, and stimation in the Linear Panel Event-Study Design," Working Papers 21-44, Federal Reserve Bank of Philadelphia.
    36. Jerry Hausman, 2001. "Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 57-67, Fall.
    37. Bischoff, Oliver, 2012. "Explaining regional variation in equilibrium real estate prices and income," Journal of Housing Economics, Elsevier, vol. 21(1), pages 1-15.
    38. Fabio Sabatini, 2009. "The relationship between trust and networks. An exploratory empirical analysis," Economics Bulletin, AccessEcon, vol. 29(2), pages 661-672.
    39. Alain-Philippe Fortin & Patrick Gagliardini & Olivier Scaillet, 2023. "Latent Factor Analysis in Short Panels," Papers 2306.14004, arXiv.org.
    40. Brumm, Harold J., 2011. "Inflation and central bank independence: Two-way causality?," Economics Letters, Elsevier, vol. 111(3), pages 220-222, June.
    41. Alain Coen & Francois-Éric Racicot, 2006. "A New Approach Based on Cumulants for Estimating Financial Regression Models with Errors in the Variables: the Fama and French Model Revisited," RePAd Working Paper Series UQO-DSA-wp142006, Département des sciences administratives, UQO.
    42. Biørn, Erik & Godager, Geir, 2010. "Does quality influence choice of general practitioner? An analysis of matched doctor-patient panel data," Economic Modelling, Elsevier, vol. 27(4), pages 842-853, July.
    43. Simon Freyaldenhoven & Christian Hansen & Jesse M. Shapiro, 2018. "Pre-event Trends in the Panel Event-study Design," NBER Working Papers 24565, National Bureau of Economic Research, Inc.
    44. Golob, Thomas F., 2001. "Structural Equation Modeling For Travel Behavior Research," University of California Transportation Center, Working Papers qt8pb2m1pk, University of California Transportation Center.
    45. James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
    46. Ivaldi, Marc & Monier-Dilhan, Sylvette & Simioni, Michel, 1995. "Stochastic production frontiers and panel data: A latent variable framework," European Journal of Operational Research, Elsevier, vol. 80(3), pages 534-547, February.
    47. Kenneth Bollen, 1996. "An alternative two stage least squares (2SLS) estimator for latent variable equations," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 109-121, March.
    48. Kwamena K. Quagrainie & Jill J. McCluskey & Maria L. Loureiro, 2003. "A Latent Structure Approach to Measuring Reputation," Southern Economic Journal, John Wiley & Sons, vol. 69(4), pages 966-977, April.
    49. Dongwoo Kim & Daniel Wilhelm, 2017. "Powerful t-Tests in the presence of nonclassical measurement error," CeMMAP working papers 57/17, Institute for Fiscal Studies.
    50. Timothy Erickson & Toni M. Whited, 2012. "Treating Measurement Error in Tobin's q," The Review of Financial Studies, Society for Financial Studies, vol. 25(4), pages 1286-1329.
    51. Tindara Addabbo & Elena Sarti & Dario Sciulli, 2016. "Healthy life, social interaction and disability," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2609-2623, November.
    52. Petreski, Marjan & Petreski, Blagica, 2015. "Dissatisfied, feeling unequal and inclined to emigrate: Perceptions from Macedonia in a MIMIC model," MPRA Paper 61047, University Library of Munich, Germany.
    53. Darren Lubotsky & Martin Wittenberg, 2001. "Interpretation of Regressions with Multiple Proxies," Econometrics 0110005, University Library of Munich, Germany.
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    1. Fabio Canova & Luca Sala, 2005. "Back to square one: Identification issues in DSGE models," Economics Working Papers 927, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2006.
    2. Susanne M Schennach, 2007. "Instrumental Variable Estimation of Nonlinear Errors-in-Variables Models," Econometrica, Econometric Society, vol. 75(1), pages 201-239, January.
    3. Jim Malley & Apostolis Philippopoulos, 2000. "Economic Growth and Endogenous Fiscal Policy: In Search of a Data Consistent General Equilibrium Model," CESifo Working Paper Series 235, CESifo.

Books

  1. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 2010. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521131001.

    Cited by:

    1. Gasmi, Farid & Aurazo, Jose, 2022. "Labor informality and financial inclusion transitions: Evidence from Peru," TSE Working Papers 22-1349, Toulouse School of Economics (TSE).
    2. Mariusz Jarmuzek & Mr. Tonny Lybek, 2018. "Can Good Governance Lower Financial Intermediation Costs?," IMF Working Papers 2018/279, International Monetary Fund.

  2. Hsiao,Cheng & Morimune,Kimio & Powell,James L. (ed.), 2001. "Nonlinear Statistical Modeling," Cambridge Books, Cambridge University Press, number 9780521662468.

    Cited by:

    1. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    2. Nir Billfeld & Moshe Kim, 2019. "Semiparametric Wavelet-based JPEG IV Estimator for endogenously truncated data," Papers 1908.02166, arXiv.org.
    3. Cattaneo, Matias D & Crump, Richard K & Jansson, Michael, 2014. "Small Bandwidth Asymptotics For Density-Weighted Average Derivatives," Department of Economics, Working Paper Series qt3jd237cg, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. Koen Jochmans, 2015. "Multiplicative-error models with sample selection," SciencePo Working papers Main hal-03392990, HAL.
    5. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    6. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    7. Heckman, James J. & Schmierer, Daniel, 2010. "Tests of hypotheses arising in the correlated random coefficient model," Economic Modelling, Elsevier, vol. 27(6), pages 1355-1367, November.
    8. Robert A. Moffitt & Matthew V. Zahn, 2019. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," NBER Working Papers 26028, National Bureau of Economic Research, Inc.
    9. Kenneth Lee & Edward Miguel & Catherine Wolfram, 2019. "Does Household Electrification Supercharge Economic Development?," NBER Working Papers 26528, National Bureau of Economic Research, Inc.
    10. Xiaohong Chen & Demian Pouzo, 2008. "Efficient Estimation of Semiparametric Conditional Moment Models with Possibly Nonsmooth Residuals," Cowles Foundation Discussion Papers 1640R, Cowles Foundation for Research in Economics, Yale University, revised Jul 2009.
    11. Klein, T.J., 2008. "Heterogeneous Treatment Effects : Instrumental Variables Without Monotonicity?," Other publications TiSEM e015611a-6b97-4cd5-8dc8-7, Tilburg University, School of Economics and Management.
    12. James J. Heckman & Daniel Schmierer, 2009. "Testing the Correlated Random Coefficient Model," Working Papers 200937, Geary Institute, University College Dublin.
    13. Klein, T.J., 2009. "College Education and Wages in the U.K. : Estimating Conditional Average Structural Functions in Nonadditive Models with Binary Endogenous Variables," Other publications TiSEM d076afa3-b1e0-4d57-be4b-b, Tilburg University, School of Economics and Management.
    14. Nybom, Martin, 2014. "The Distribution of Lifetime Earnings Returns to College," Working Paper Series 2/2014, Stockholm University, Swedish Institute for Social Research.
    15. Barrios, Javier A., 2004. "Generalized sample selection bias correction under RUM," Economics Letters, Elsevier, vol. 85(1), pages 129-132, October.
    16. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2008. "Instrumental Variables in Models with Multiple Outcomes: The General Unordered Case," Annals of Economics and Statistics, GENES, issue 91-92, pages 151-174.
    17. Liu, Ruixuan & Yu, Zhengfei, 2022. "Sample selection models with monotone control functions," Journal of Econometrics, Elsevier, vol. 226(2), pages 321-342.
    18. Stefan Boes, 2009. "Bounds on Counterfactual Distributions Under Semi-Monotonicity Constraints," SOI - Working Papers 0920, Socioeconomic Institute - University of Zurich.
    19. Basu, Anirban, 2015. "Welfare implications of learning through solicitation versus diversification in health care," Journal of Health Economics, Elsevier, vol. 42(C), pages 165-173.
    20. Anirban Basu & Anupam B. Jena & Dana P. Goldman & Tomas J. Philipson & Robert Dubois, 2014. "Heterogeneity In Action: The Role Of Passive Personalization In Comparative Effectiveness Research," Health Economics, John Wiley & Sons, Ltd., vol. 23(3), pages 359-373, March.
    21. 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.
    22. Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
    23. Jürgen Wolters & Uwe Hassler, 2006. "Unit root testing," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 43-58, March.
    24. James J. Heckman, 2008. "The Principles Underlying Evaluation Estimators with an Application to Matching," Annals of Economics and Statistics, GENES, issue 91-92, pages 9-73.
    25. Heckman, James & Navarro-Lozano, Salvador, 2003. "Using matching, instrumental variables and control functions to estimate economic choice models," Working Paper Series 2003:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    26. Lanne, Markku & Lütkepohl, Helmut & Saikkonen, Pentti, 2001. "Test procedures for unit roots in time series with level shifts at unknown time," SFB 373 Discussion Papers 2001,39, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
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    31. Cattaneo, Matias D. & Crump, Richard K. & Jansson, Michael, 2010. "Robust Data-Driven Inference for Density-Weighted Average Derivatives," Journal of the American Statistical Association, American Statistical Association, vol. 105(491), pages 1070-1083.
    32. Amanda E. Kowalski, 2018. "Behavior within a Clinical Trial and Implications for Mammography Guidelines," NBER Working Papers 25049, National Bureau of Economic Research, Inc.
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    39. Heckman, James J., 2010. "The Assumptions Underlying Evaluation Estimators," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 30(2), December.
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    43. Andrea J. Heuson & Mark C. Hutchinson & Alok Kumar, 2020. "Predicting hedge fund performance when fund returns are skewed," Financial Management, Financial Management Association International, vol. 49(4), pages 877-896, December.
    44. 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.
    45. Nishiyama, Y., 2004. "Minimum normal approximation error bandwidth selection for averaged derivatives," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 53-61.
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    47. Juli'an Mart'inez-Iriarte & Pietro Emilio Spini, 2022. "MTE with Misspecification," Papers 2204.10445, arXiv.org.

  3. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    3. Byrne, Joseph P. & Kontonikas, Alexandros & Montagnoliz, Alberto, 2010. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," SIRE Discussion Papers 2010-57, Scottish Institute for Research in Economics (SIRE).
    4. Ertur, C. & Musolesi, A., 2013. "Weak and strong cross-sectional dependence: a panel data analysis of international technology diffusion," Working Papers 2013-09, Grenoble Applied Economics Laboratory (GAEL).
    5. Bruna, Maria Giuseppina & Loprevite, Salvatore & Raucci, Domenico & Ricca, Bruno & Rupo, Daniela, 2022. "Investigating the marginal impact of ESG results on corporate financial performance," Finance Research Letters, Elsevier, vol. 47(PA).
    6. Musolesi, Antonio, 2007. "Basic stocks of knowledge and productivity: Further evidence from the hierarchical Bayes estimator," Economics Letters, Elsevier, vol. 95(1), pages 54-59, April.
    7. Anna Tykhonenko & Donnat Grégory, 2023. "Debt Relief: The Day After, Financing Low-Income Countries," Working Papers hal-04298784, HAL.
    8. Henrik Hansen & John Rand, 2006. "On the Causal Links Between FDI and Growth in Developing Countries," The World Economy, Wiley Blackwell, vol. 29(1), pages 21-41, January.
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    12. Soumya Mukhopadhyay & V Kumar & Amalesh Sharma & Tuck Siong Chung, 2022. "Impact of review narrativity on sales in a competitive environment," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2538-2556, June.
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    15. Brücker, Herbert & Siliverstovs, Boriss, 2005. "On the Estimation and Forecasting of International Migration: How Relevant Is Heterogeneity Across Countries?," IZA Discussion Papers 1710, Institute of Labor Economics (IZA).
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    22. Massimiliano Mazzanti & Antonio Musolesi, 2012. "The heterogeneity of Carbon Kuznets Curves for advanced countries. Comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators," Working Papers 201206, University of Ferrara, Department of Economics.
    23. Agnolucci, Paolo, 2009. "The energy demand in the British and German industrial sectors: Heterogeneity and common factors," Energy Economics, Elsevier, vol. 31(1), pages 175-187, January.
    24. El-Sahli, Zouheir & Gullstrand, Joakim & Olofsdotter, Karin, 2017. "The Internal and External Effects of Offshoring on Job Security," Working Papers 2017:14, Lund University, Department of Economics.
    25. Hulusi Inanoglu & Mahmoud A. El-Gamal, 2005. "Inefficiency and heterogeneity in Turkish banking: 1990-2000," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 641-664.
    26. 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.
    27. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2018. "Heterogeneous credit union production technologies with endogenous switching and correlated effects," Econometric Reviews, Taylor & Francis Journals, vol. 37(10), pages 1095-1119, November.
    28. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 605-627, August.
    29. Sara Bercenilla Visús & Mª Dolores Montávez Garcés, 2000. "La Competitividad Externa De Las Manufacturas Españolas: Un Análisis Dinámico Para El Período 1973-1993," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0008, Departamento de Economía - Universidad Pública de Navarra.
    30. Bernd Hayo & Florian Neumeier, 2011. "Political Leaders’ Socioeconomic Background and Fiscal Performance in Germany," MAGKS Papers on Economics 201141, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    31. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
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    35. Hugo Benítez-Silva & Debra S. Dwyer, 2003. "What to Expect when you are Expecting Rationality: Testing Rational Expectations using Micro Data," Working Papers wp037, University of Michigan, Michigan Retirement Research Center.
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    42. 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.
    43. Fred Joutz & Michael P. Clements & Herman O. Stekler, 2007. "An evaluation of the forecasts of the federal reserve: a pooled approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 121-136.
    44. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
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