Essays in Honor of Professor Badi H Baltagi: Editorial
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- Badi H. Baltagi, 2015.
"Seemingly Unrelated Regressions,"
Springer Texts in Business and Economics, in: Solutions Manual for Econometrics, edition 3, chapter 0, pages 233-257,
Springer.
- Badi H. Baltagi, 2011. "Seemingly Unrelated Regressions," Springer Texts in Business and Economics, in: Econometrics, chapter 0, pages 241-256, Springer.
- Badi Baltagi & Peter Egger, 2016. "Estimation of structural gravity quantile regression models," Empirical Economics, Springer, vol. 50(1), pages 5-15, February.
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"IV estimation of panels with factor residuals,"
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- Donald Robertson & Vasilis Sarafidis, 2013. "IV Estimation of Panels with Factor Residuals," Cambridge Working Papers in Economics 1321, Faculty of Economics, University of Cambridge.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021.
"Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada,"
Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," Papers 2001.09295, arXiv.org.
- Bresson, Georges & Lacroix, Guy & Arshad Rahman, Mohammad, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," IZA Discussion Papers 12928, Institute of Labor Economics (IZA).
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian Panel Quantile Regression for Binary Outcomes with Correlated Random Effects: An Application on Crime Recidivism in Canada," CIRANO Working Papers 2020s-08, CIRANO.
- Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2020. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Post-Print hal-04129345, HAL.
- Erik Meijer & Edward Oczkowski & Tom Wansbeek, 2021. "How measurement error affects inference in linear regression," Empirical Economics, Springer, vol. 60(1), pages 131-155, January.
- Badi H. Baltagi & Jing Li, 2014. "Further Evidence On The Spatio‐Temporal Model Of House Prices In The United States," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 515-522, April.
- Jushan Bai & Badi Baltagi & Hashem Pesaran, 2016. "Cross‐Sectional Dependence in Panel Data Models: A Special Issue," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 1-3, January.
- Baltagi, Badi H. & Egger, Peter & Pfaffermayr, Michael, 2003. "A generalized design for bilateral trade flow models," Economics Letters, Elsevier, vol. 80(3), pages 391-397, September.
- Baltagi, Badi H., 2015. "The Oxford Handbook of Panel Data," OUP Catalogue, Oxford University Press, number 9780199940042.
- Badi H. Baltagi & Chihwa Kao & Long Liu, 2014.
"Test of Hypotheses in a Time Trend Panel Data Model with Serially Correlated Error Component Disturbances,"
Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 347-394,
Emerald Group Publishing Limited.
- Badi Baltagi & Chihwa Kao & Long Liu, 2014. "Test of Hypotheses in a Time Trend Panel Data Model with Serially Correlated Error Component Disturbances," Center for Policy Research Working Papers 170, Center for Policy Research, Maxwell School, Syracuse University.
- Xintong Yang & Yu Zhang & Qi Li, 2021. "The role of price spillovers: what is different in China," Empirical Economics, Springer, vol. 60(1), pages 459-485, January.
- Jörg Breitung & Philipp Hansen, 2021.
"Correction to: Alternative estimation approaches for the factor augmented panel data model with small T,"
Empirical Economics, Springer, vol. 61(6), pages 3557-3558, December.
- Jörg Breitung & Philipp Hansen, 2021. "Alternative estimation approaches for the factor augmented panel data model with small T," Empirical Economics, Springer, vol. 60(1), pages 327-351, January.
- Christine Amsler & Yi Yi Chen & Peter Schmidt & Hung Jen Wang, 2021. "A hierarchical panel data stochastic frontier model for the estimation of stochastic metafrontiers," Empirical Economics, Springer, vol. 60(1), pages 353-363, January.
- Perron, Pierre & Yabu, Tomoyoshi, 2009.
"Testing for Shifts in Trend With an Integrated or Stationary Noise Component,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 369-396.
- Pierre Perron & Tomoyoshi Yabu, 2005. "Testing for Shifts in Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2005-026, Boston University - Department of Economics.
- Pierre Perron & Tomoyoshi Yabu, 2007. "Testing for Shifts in Trend with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series WP2007-025, Boston University - Department of Economics.
- Badi H. Baltagi (ed.), 2002. "Recent Developments in the Econometrics of Panel Data," Books, Edward Elgar Publishing, volume 0, number 2701.
- Badi H. BALTAGI & Bernard FINGLETON & Alain PIROTTE, 2014. "Multilevel And Spillover Effects Estimated For Spatial Panel Data, With Application To English House Prices," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 40, pages 25-36.
- Artūras Juodis & Yiannis Karavias & Vasilis Sarafidis, 2021.
"A homogeneous approach to testing for Granger non-causality in heterogeneous panels,"
Empirical Economics, Springer, vol. 60(1), pages 93-112, January.
- Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
- 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.
- Badi H. Baltagi & Chihwa Kao & Long Liu, 2020.
"Testing for shifts in a time trend panel data model with serially correlated error component disturbances,"
Econometric Reviews, Taylor & Francis Journals, vol. 39(8), pages 745-762, September.
- Badi Baltagi & Chihwa Kao & Long Liu, 2019. "Testing for Shifts in a Time Trend Panel Data Model with Serially Correlated Error Component Disturbances," Center for Policy Research Working Papers 213, Center for Policy Research, Maxwell School, Syracuse University.
- M. Hashem Pesaran, 2021.
"General diagnostic tests for cross-sectional dependence in panels,"
Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
- Pesaran, M. Hashem, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," IZA Discussion Papers 1240, Institute of Labor Economics (IZA).
- M. Hashem Pesaran, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," CESifo Working Paper Series 1229, CESifo.
- Pesaran, M.H., 2004. "‘General Diagnostic Tests for Cross Section Dependence in Panels’," Cambridge Working Papers in Economics 0435, Faculty of Economics, University of Cambridge.
- 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.
- M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo.
- Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2016.
"Firm‐Level Productivity Spillovers in China's Chemical Industry: A Spatial Hausman‐Taylor Approach,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 214-248, January.
- Badi H. Baltagi & Peter Egger & Michaela Kesina, 2014. "Firm-level Productivity Spillovers in China's Chemical Industry: A Spatial Hausman-Taylor Approach," CESifo Working Paper Series 5114, CESifo.
- Badi H. Baltagi & Peter H. Egger, 2014. "Firm-Level Productivity Spillovers in China's Chemical Industry: A Spatial Hausman-Taylor Approach," Center for Policy Research Working Papers 173, Center for Policy Research, Maxwell School, Syracuse University.
- Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2014. "Firm-level Productivity Spillovers in China's Chemical Industry: A Spatial Hausman-Taylor Approach," Center for Policy Research Working Papers 175, Center for Policy Research, Maxwell School, Syracuse University.
- Badi Baltagi & Peter Egger & Michaela Kesina, 2015.
"Sources of productivity spillovers: panel data evidence from China,"
Journal of Productivity Analysis, Springer, vol. 43(3), pages 389-402, June.
- Badi H. Baltagi & Peter Egger & Michaela Kesina, 2014. "Sources of Productivity Spillovers: Panel Data Evidence from China," CESifo Working Paper Series 4812, CESifo.
- Aman Ullah & Tao Wang & Weixin Yao, 2021.
"Modal regression for fixed effects panel data,"
Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
- Aman Ullah & Tao Wang & Weixin Yao, 2020. "Modal Regression for Fixed Effects Panel Data," Working Papers 202102, University of California at Riverside, Department of Economics, revised Nov 2020.
- Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
- Zhenlin Yang, 2021. "Joint tests for dynamic and spatial effects in short panels with fixed effects and heteroskedasticity," Empirical Economics, Springer, vol. 60(1), pages 51-92, January.
- Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
- 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.
- Baltagi, Badi H. & Bresson, Georges, 2010. "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," IZA Discussion Papers 5227, IZA Network @ LISER.
- Vasilis Sarafidis & Tom Wansbeek, 2012.
"Cross-Sectional Dependence in Panel Data Analysis,"
Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 483-531, September.
- Sarafidis, Vasilis & Wansbeek, Tom, 2010. "Cross-sectional Dependence in Panel Data Analysis," MPRA Paper 20367, University Library of Munich, Germany.
- Artūras Juodis & Vasilis Sarafidis, 2022.
"A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 1-15, January.
- Arturas Juodis & Vasilis Sarafidis, 2020. "A Linear Estimator for FactorAugmented Fixed-T Panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers 5/20, Monash University, Department of Econometrics and Business Statistics.
- Shasha Liu & Robin Sickles, 2021.
"The agency problem revisited: a structural analysis of managerial productivity and CEO compensation in large US commercial banks,"
Empirical Economics, Springer, vol. 60(1), pages 391-418, January.
- Liu, Shasha & Sickles, Robin, 2020. "The Agency Problem Revisited: A Structural Analysis of Managerial Productivity and CEO Compensation in Large U.S. Commercial Banks," Working Papers 20-001, Rice University, Department of Economics.
- Liu, Shasha & Sickles, Robin, 2020. "The Agency Problem Revisited: A Structural Analysis of Managerial Productivity and CEO Compensation in Large U.S. Commercial Banks," Working Papers 19-010, Rice University, Department of Economics.
- Jushan Bai & Sung Hoon Choi & Yuan Liao, 2021.
"Feasible generalized least squares for panel data with cross-sectional and serial correlations,"
Empirical Economics, Springer, vol. 60(1), pages 309-326, January.
- Jushan Bai & Sung Hoon Choi & Yuan Liao, 2019. "Feasible Generalized Least Squares for Panel Data with Cross-sectional and Serial Correlations," Papers 1910.09004, arXiv.org, revised Aug 2020.
- 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.
- Esfandiar Maasoumi & Almas Heshmati & Inhee Lee, 2021. "RETRACTED ARTICLE: Green innovations and patenting renewable energy technologies," Empirical Economics, Springer, vol. 60(1), pages 513-538, January.
- Laura Serlenga & Yongcheol Shin, 2021. "Gravity models of interprovincial migration flows in Canada with hierarchical multifactor structure," Empirical Economics, Springer, vol. 60(1), pages 365-390, January.
- In Choi & Sanghyun Jung, 2021.
"Cross-sectional quasi-maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels,"
Empirical Economics, Springer, vol. 60(1), pages 177-203, January.
- 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).
- Peter H. Egger & Jiaqing Zhu, 2021. "Dynamic network and own effects on abnormal returns: evidence from China’s stock market," Empirical Economics, Springer, vol. 60(1), pages 487-512, January.
- Kajal Lahiri & Jianting Hu, 2021. "Productive efficiency in processing social security disability claims: a look back at the 1989–95 surge," Empirical Economics, Springer, vol. 60(1), pages 419-457, January.
- Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
- Dong Li & Luya Wang & Ximing Wu, 2021. "Bayesian estimation of bidding process and bidder’s preference under shape restrictions," Empirical Economics, Springer, vol. 60(1), pages 157-176, January.
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Keywords
; ;JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
NEP fields
This paper has been announced in the following NEP Reports:- NEP-HIS-2021-01-18 (Business, Economic and Financial History)
- NEP-HPE-2021-01-18 (History and Philosophy of Economics)
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