Unit roots: identification and testing in micro panels
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- Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
- 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.
- Hugo Kruiniger, 2002.
"Maximum Likelihood Estimation of Dynamic Linear Panel Data Models with Fixed Effects,"
Working Papers
458, Queen Mary University of London, School of Economics and Finance.
- Hugo Kruiniger, 2002. "Maximum Likelihood Estimation of Dynamic Linear Panel Data Models with Fixed Effects," Working Papers 458, Queen Mary University of London, School of Economics and Finance.
- John Sutton, 1997. "Gibrat's Legacy," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 40-59, March.
- Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, January.
- Hugo Kruiniger, 2002.
"On the estimation of panel regression models with fixed effects,"
10th International Conference on Panel Data, Berlin, July 5-6, 2002
C6-2, International Conferences on Panel Data.
- Hugo Kruiniger, 2002. "On the Estimation of Panel Regression Models with Fixed Effects," Working Papers 450, Queen Mary University of London, School of Economics and Finance.
- 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.
- Hugo Kruiniger & Elias Tzavalis, 2002.
"Testing for Unit Roots in Short Dynamic Panels with Serially Correlated and Heteroscedastic Disturbance Terms,"
Working Papers
459, Queen Mary University of London, School of Economics and Finance.
- Hugo Kruiniger & Elias Tzavalis, 2002. "Testing for Unit Roots in Short Dynamic Panels with Serially Correlated and Heteroscedastic Disturbance Terms," Working Papers 459, Queen Mary University of London, School of Economics and Finance.
- Hugo Kruiniger & Elias Tzavalis, 2002. "Testing for unit roots in short dynamic panels with serially correlated and heteroskedastic disturbance terms," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B5-1, International Conferences on Panel Data.
- Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
- Tony Lancaster, 2002. "Orthogonal Parameters and Panel Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(3), pages 647-666.
- Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
- 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.
- Harris, Richard D. F. & Tzavalis, Elias, 1999.
"Inference for unit roots in dynamic panels where the time dimension is fixed,"
Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
- Tom Doan, "undated". "HTUNIT: RATS procedure to implement Harris-Tzavalis unit root test for panel data," Statistical Software Components RTS00092, Boston College Department of Economics.
- Ahn, Seung C. & Schmidt, Peter, 1997. "Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 309-321.
- 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.
- Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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More about this item
Keywords
Generalised Method of Moments; identification; unit root tests;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2005-08-13 (Econometrics)
- NEP-ETS-2005-08-13 (Econometric Time Series)
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