A powerful test of mean stationarity in dynamic models for panel data: Monte Carlo evidence
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
- David Roodman, 2009.
"A Note on the Theme of Too Many Instruments,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
- David Roodman, 2007. "A Note on the Theme of Too Many Instruments," Working Papers 125, Center for Global Development.
- Kiviet, Jan F., 1995.
"On bias, inconsistency, and efficiency of various estimators in dynamic panel data models,"
Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
- Tom Doan, "undated". "LSDVC: RATS procedure to estimate a dynamic FE model with correction for bias," Statistical Software Components RTS00111, Boston College Department of Economics.
- Gouriéroux, Christian & Phillips, Peter C.B. & Yu, Jun, 2010.
"Indirect inference for dynamic panel models,"
Journal of Econometrics, Elsevier, vol. 157(1), pages 68-77, July.
- Christian Gouriéroux & Peter C. B. Phillips & Jun Yu, 2006. "Indirect Inference for Dynamic Panel Models," Development Economics Working Papers 22421, East Asian Bureau of Economic Research.
- Christian Gourieroux & Peter C. B. Phillips & Jun Yu, 2006. "Indirect Inference for Dynamic Panel Models," Cowles Foundation Discussion Papers 1550, Cowles Foundation for Research in Economics, Yale University.
- Stephen Bond & Frank Windmeijer, 2005. "Reliable Inference For Gmm Estimators? Finite Sample Properties Of Alternative Test Procedures In Linear Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 24(1), pages 1-37.
- Hayakawa, Kazuhiko, 2007.
"Small sample bias properties of the system GMM estimator in dynamic panel data models,"
Economics Letters, Elsevier, vol. 95(1), pages 32-38, April.
- Kazuhiko Hayakawa, 2005. "Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models," Hi-Stat Discussion Paper Series d05-82, Institute of Economic Research, Hitotsubashi University.
- Arellano, Manuel & Bover, Olympia, 1995.
"Another look at the instrumental variable estimation of error-components models,"
Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
- M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
- Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
- Blundell, Richard & Bond, Stephen, 1998.
"Initial conditions and moment restrictions in dynamic panel data models,"
Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
- R Blundell & Steven Bond, "undated". "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
- Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
- Richard Blundell & Stephen Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
- Bond, Stephen & Bowsher, Clive & Windmeijer, Frank, 2001.
"Criterion-based inference for GMM in autoregressive panel data models,"
Economics Letters, Elsevier, vol. 73(3), pages 379-388, December.
- Stephen Bond & Clive Bowsher & Frank Windmeijer, 2001. "Criterion-based inference for GMM in autoregressive panel-data models," IFS Working Papers W01/02, Institute for Fiscal Studies.
- 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.
- Hsaio, Cheng & Pesaran, M. Hashem & Tahmiscioglu, A. Kamil, 1998. "Maximum Likelihood Estimation of Fixed Effects Dynamic Panel Data Models Covering Short Time Periods," Cambridge Working Papers in Economics 9826, Faculty of Economics, University of Cambridge.
- Hahn, Jinyong, 1999. "How informative is the initial condition in the dynamic panel model with fixed effects?," Journal of Econometrics, Elsevier, vol. 93(2), pages 309-326, December.
- Giorgio Calzolari & Laura Magazzini, 2011. "Moment Conditions and Neglected Endogeneity in Panel Data Models," Working Papers 02/2011, University of Verona, Department of Economics.
- Hansen, Lars Peter & Heaton, John & Yaron, Amir, 1996. "Finite-Sample Properties of Some Alternative GMM Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 262-280, July.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
- Tom Doan, "undated". "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Tue Gørgens & Chirok Han & Sen Xue, 2019.
"Moment Restrictions and Identification in Linear Dynamic Panel Data Models,"
Annals of Economics and Statistics, GENES, issue 134, pages 149-176.
- Tue Gorgens & Chirok Han & Sen Xue, 2016. "Moment restrictions and identification in linear dynamic panel data models," ANU Working Papers in Economics and Econometrics 2016-633, Australian National University, College of Business and Economics, School of Economics.
- Giorgio Calzolari & Laura Magazzini, 2014. "Improving GMM efficiency in dynamic models for panel data with mean stationarity," Working Papers 12/2014, University of Verona, Department of Economics.
- Tue Gorgens & Chirok Han & Sen Xue, 2016. "Asymptotic distributions of the quadratic GMM estimator in linear dynamic panel data models," ANU Working Papers in Economics and Econometrics 2016-635, Australian National University, College of Business and Economics, School of Economics.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Giorgio Calzolari & Laura Magazzini, 2014. "Improving GMM efficiency in dynamic models for panel data with mean stationarity," Working Papers 12/2014, University of Verona, Department of Economics.
- Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
- 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).
- Sebastian Kripfganz & Claudia Schwarz, 2019.
"Estimation of linear dynamic panel data models with time‐invariant regressors,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(4), pages 526-546, June.
- Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of Linear Dynamic Panel Data Models with Time-Invariant Regressors," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79756, Verein für Socialpolitik / German Economic Association.
- Schwarz, Claudia & Kripfganz, Sebastian, 2015. "Estimation of linear dynamic panel data models with time-invariant regressors," Working Paper Series 1838, European Central Bank.
- Kripfganz, Sebastian & Schwarz, Claudia, 2013. "Estimation of linear dynamic panel data models with time-invariant regressors," Discussion Papers 25/2013, Deutsche Bundesbank.
- 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.
- Kazuhiko Hayakawa & M. Hashem Pesaran, 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Data Models," CESifo Working Paper Series 3850, CESifo.
- Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Data Models," IZA Discussion Papers 6583, Institute of Labor Economics (IZA).
- Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
- Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017.
"Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models,"
Econometrics, MDPI, vol. 5(1), pages 1-54, March.
- Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
- Jan Frederik Kiviet & Milan Pleus & Rutger Poldermans, 2015. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," CESifo Working Paper Series 5189, CESifo.
- 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.
- Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
- Bun, Maurice J.G. & Kleibergen, Frank, 2022.
"Identification Robust Inference For Moments-Based Analysis Of Linear Dynamic Panel Data Models,"
Econometric Theory, Cambridge University Press, vol. 38(4), pages 689-751, August.
- Maurice J. G. Bun & Frank Kleibergen, 2021. "Identification robust inference for moments based analysis of linear dynamic panel data models," Papers 2105.08346, arXiv.org.
- Khalaf, Lynda & Saunders, Charles J., 2020. "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, vol. 218(2), pages 419-434.
- 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.
- Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.
- 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.
- Michael Binder & Cheng Hsiao & M. Hashem Pesaran, 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Working Papers 0005, Banco de España.
- 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.
- Binder, M. & Hsaio, C. & Pesaran, M.H., 2000. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Cambridge Working Papers in Economics 0003, Faculty of Economics, University of Cambridge.
- Michael Binder, Cheng Hsiao, and M. Hashem Pesaran, 2001. "Estimation and Inference in Short Panel Vector Autoregressions with Unit Roots and Cointegration," Computing in Economics and Finance 2001 36, Society for Computational Economics.
- Majid M. Al-Sadoon & Tong Li & M. Hashem Pesaran, 2017.
"Exponential class of dynamic binary choice panel data models with fixed effects,"
Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 898-927, October.
- Majid M. Al-Sadoon & Tong Li & M. Hashem Pesaran, 2012. "An Exponential Class of Dynamic Binary Choice Panel Data Models with Fixed Effects," CESifo Working Paper Series 4033, CESifo.
- Al-Sadoon, Majid M. & Li, Tong & Pesaran, M. Hashem, 2012. "An Exponential Class of Dynamic Binary Choice Panel Data Models with Fixed Effects," IZA Discussion Papers 7054, Institute of Labor Economics (IZA).
- Biørn, Erik, 2012. "The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation," Memorandum 02/2012, Oslo University, Department of Economics.
- David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
- Biørn, Erik & Han, Xuehui, 2012. "Panel Data Dynamics and Measurement Errors: GMM Bias, IV Validity and Model Fit – A Monte Carlo Study," Memorandum 27/2012, Oslo University, Department of Economics.
- De Blander, Rembert, 2020. "Iterative estimation correcting for error auto-correlation in short panels, applied to lagged dependent variable models," Econometrics and Statistics, Elsevier, vol. 15(C), pages 3-29.
- Yingyao Hu & Ji‐Liang Shiu, 2018. "Identification and estimation of semi‐parametric censored dynamic panel data models of short time periods," Econometrics Journal, Royal Economic Society, vol. 21(1), pages 55-85, February.
More about this item
Keywords
panel data; dynamic model; GMM estimation; test of overidentifying restrictions;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2013-09-06 (Econometrics)
- NEP-ETS-2013-09-06 (Econometric Time Series)
- NEP-ORE-2013-09-06 (Operations Research)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ver:wpaper:14/2013. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael Reiter (email available below). General contact details of provider: https://edirc.repec.org/data/isverit.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.