Abstract
Many economic relationships are dynamic in nature, and one of the advantages of panel data is that they allow the researcher to better understand the dynamics of adjustment.
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References
Acemoglu, D., S. Johnson, J.A. Robinson, and P. Yared. 2005. From education to democracy? American Economic Review 95: 44–49.
Acemoglu, D., S. Johnson, J.A. Robinson, and P. Yared. 2008. Income and democracy. American Economic Review 98: 808–842.
Acemoglu, D., S. Naidu, P. Restrepo, and J.A. Robinson. 2019. Democracy Does Cause Growth. Journal of Political Economy 127 (1): 47–100.
Ahn, S.C., and P. Schmidt. 1995. Efficient estimation of models for dynamic panel data. Journal of Econometrics 68: 5–27.
Ahn, S.C., and P. Schmidt. 1997. Efficient estimation of dynamic panel data models: Alternative assumptions and simplified estimation. Journal of Econometrics 76: 309–321.
Alonso-Borrego, C., and M. Arellano. 1999. Symmetrically normalized instrumental variable estimation using panel data. Journal of Business and Economic Statistics 17: 36–49.
Alvarez, J., and M. Arellano. 2003. The time series and cross-section asymptotics of dynamic panel data estimators. Econometrica 71: 1121–1159.
Amemiya, T., and T.E. MaCurdy. 1986. Instrumental-variable estimation of an error components model. Econometrica 54: 869–881.
Anderson, T.W., and C. Hsiao. 1982. Formulation and estimation of dynamic models using panel data. Journal of Econometrics 18: 47–82.
Andrews, D.W.K., and B. Lu. 2001. Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models. Journal of Econometrics 101: 123–164.
Arellano, M. 1989. A note on the Anderson-Hsiao estimator for panel data. Economics Letters 31: 337–341.
Arellano, M. 1990. Some testing for autocorrelation in dynamic random effects models. Review of Economic Studies 57: 127–134.
Arellano, M. 2003. Panel data econometrics. Oxford: Oxford University Press.
Arellano, M., and S. Bond. 1991. Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies 58: 277–297.
Arellano, M., and O. Bover. 1995. Another look at the instrumental variables estimation of error-component models. Journal of Econometrics 68: 29–51.
Arellano, M., and B. Honoré. 2001. Panel data models: Some recent developments. Chapter 53. In Handbook of econometrics, ed. J. Heckman and E. Leamer, 3229–3296. North-Holland, Amsterdam.
Baltagi, B.H., P.O. Demetriades, and S.H. Law. 2009. Financial development and openness: Evidence from panel data. Journal of Development Economics 89: 285–296.
Baltagi, B.H., and J.M. Griffin. 1995. A dynamic demand model for liquor: The case for pooling. Review of Economics and Statistics 77: 545–553.
Baltagi, B.H., and J.M. Griffin. 2001. The econometrics of rational addiction: The case of cigarettes. Journal of Business and Economic Statistics 19: 449–454.
Baltagi, B.H., J.M. Griffin, and W. Xiong. 2000. To pool or not to pool: Homogeneous versus heterogeneous estimators applied to cigarette demand. Review of Economics and Statistics 82: 117–126.
Baltagi, B.H., and D. Levin. 1986. Estimating dynamic demand for cigarettes using panel data: The effects of bootlegging, taxation, and advertising reconsidered. Review of Economics and Statistics 68: 148–155.
Becker, G.S., M. Grossman, and K.M. Murphy. 1994. An empirical analysis of cigarette addiction. American Economic Review 84: 396–418.
Bhargava, A., and J.D. Sargan. 1983. Estimating dynamic random effects models from panel data covering short time periods. Econometrica 51: 1635–1659.
Blundell, R., and S. Bond. 1998. Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics 87: 115–143.
Blundell, R., and S. Bond. 2000. GMM estimation with persistent panel data: An application to production functions. Econometric Reviews 19: 321–340.
Blundell, R., S. Bond, M. Devereux, and F. Schiantarelli. 1992. Investment and Tobin’s \(q\): Evidence from company panel data. Journal of Econometrics 51: 233–257.
Bobba, M., and D. Coviello. 2007. Weak instruments and weak identification in estimating the effects of education on democracy. Economics Letters 96: 301–306.
Bond, S., C. Bowsher, and F. Windmeijer. 2001. Criterion-based inference for GMM in autoregressive panel data models. Economics Letters 73: 379–388.
Bond, S., J.A. Elston, J. Mairesse, and B. Mulkay. 2003. Financial factors and investment in Belgium, France, Germany, and the United Kingdom: A Comparison using company panel data. The Review of Economics and Statistics 85: 153–165.
Bowsher, C.G. 2002. On testing overidentifying restrictions in dynamic panel data models. Economics Letters 77: 211–220.
Breusch, T.S., G.E. Mizon, and P. Schmidt. 1989. Efficient estimation using panel data. Econometrica 57: 695–700.
Bun, M.J.G., and J.F. Kiviet. 2006. The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models. Journal of Econometrics 132: 409–444.
Bun, M.J.G., and V. Sarafidis. 2015. Dynamic panel data models. Chapter 3. In Oxford handbook of panel data, ed. B.H. Baltagi, 76–110. Oxford: Oxford University Press.
Bun, M.J.G., and F. Windmeijer. 2010. The weak instrument problem of the system GMM estimator in dynamic panel data models. Econometrics Journal 13: 95–126.
Chamberlain, G. 1982. Multivariate regression models for panel data. Journal of Econometrics 18: 5–46.
Chamberlain, G. 1984. Panel data. Chapter 22. In Handbook of econometrics, ed. Z. Griliches, and M. Intrilligator, 1247–1318. North-Holland, Amsterdam.
Cornwell, C., and P. Rupert. 1988. Efficient estimation with panel data: An empirical comparison of instrumental variables estimators. Journal of Applied Econometrics 3: 149–155.
Dessi, R., and D. Robertson. 2003. Debt, incentives and performance: Evidence from UK panel data. The Economic Journal 113: 903–919.
Egger, P., and M. Pfaffermayr. 2004. Distance, trade and FDI: A Hausman-Taylor SUR approach. Journal of Applied Econometrics 19: 227–246.
Evereart, G. 2013. Orthogonal to backward mean transformation for dynamic panel data models. Econometrics Journal 16: 179–221.
Griliches, Z., and J.A. Hausman. 1986. Errors in variables in panel data. Journal of Econometrics 31: 93–118.
Griliches, Z., and J. Mairesse. 1998. Production functions: The search for identification. In Essays in honour of Ragnar Frisch, Econometric Society Monograph Series, ed. S. Strom. Cambridge: Cambridge University Press.
Hahn, J., J. Hausman, and G. Kuersteiner. 2007. Long difference instrumental variables estimation for dynamic panel models with fixed effects. Journal of Econometrics 140: 574–617.
Hahn, J., and G. Kuersteiner. 2002. Asymptotically unbiased inference for a dynamic panel model with fixed effects when both n and T are large. Econometrica 70: 1639–1657.
Hahn, J., and H.R. Moon. 2006. Reducing bias of MLE in a dynamic panel model. Econometric Theory 22: 499–512.
Hansen, L.P. 1982. Large sample properties of generalized method of moments estimators. Econometrica 50: 1029–1054.
Hausman, J.A. 1978. Specification tests in econometrics. Econometrica 46: 1251–1271.
Hausman, J.A., and W.E. Taylor. 1981. Panel data and unobservable individual effects. Econometrica 49: 1377–1398.
Hayakawa, K. 2009. On the effect of mean-nonstationarity in dynamic panel data models. Journal of Econometrics 153: 133–135.
Heid, B., J. Langer, and M. Larch. 2012. Income and democracy: Evidence from system GMM estimates. Economics Letters 116: 166–169.
Holtz-Eakin, D., W. Newey, and H.S. Rosen. 1988. Estimating vector autoregressions with panel data. Econometrica 56: 1371–1395.
Holtz-Eakin, D., W. Newey, and H.S. Rosen. 1989. The revenues–expenditures nexus: Evidence from local government data. International Economic Review 30: 415–429.
Hsiao, C., M.H. Pesaran, and A.K. Tahmiscioglu. 2002. Maximum likelihood estimation of fixed effects dynamic panel data models covering short time periods. Journal of Econometrics 109: 107–150.
Hsiao, C. 2003. Analysis of panel data. Cambridge: Cambridge University Press.
Imbens, G. 1997. One-step estimators for over-identified generalized method of moments models. Review of Economic Studies 64: 359–383.
Judson, R.A., and A.L. Owen. 1999. Estimating dynamic panel data models: A guide for macroeconomists. Economics Letters 65: 9–15.
Keane, M., and T. Neal. 2016. The Keane and Runkle estimator for panel-data models with serial correlation and instruments that are not strictly exogenous. Stata Journal 16: 523–549.
Keane, M.P., and D.E. Runkle. 1992. On the estimation of panel-data models with serial correlation when instruments are not strictly exogenous. Journal of Business and Economic Statistics 10: 1–9.
Kiviet, J.F. 1995. On bias, inconsistency and efficiency of various estimators in dynamic panel data models. Journal of Econometrics 68: 53–78.
Kripfganz, S. 2016. Quasi-maximum likelihood estimation of linear dynamic short-T panel-data models. Stata Journal 16: 1013–1038.
Kripfganz, S., and C. Schwarz. 2018. Estimation of linear dynamic panel data models with time-invariant regressors. Journal of Applied Econometrics 34: 526–546.
Kruiniger, H. 2007. An efficient linear GMM estimator for the covariance stationary AR(1)/unit root model for panel data. Econometric Theory 23: 519–535.
Moon, H.R., B. Perron, and P.C.B. Phillips. 2015. Incidental parameters and dynamic panel modeling. Chapter 4. In Oxford handbook of panel data, ed. B.H. Baltagi, 111–148. Oxford: Oxford University Press.
Neumayer, E. 2003. Good policy can lower violent crime: Evidence from a cross-national panel of homicide rates, 1980–97. Journal of Peace Research 40: 619–640.
Newey, W.K., and R.J. Smith. 2004. Higher order properties of GMM and generalized empirical likelihood estimators. Econometrica 72: 214–253.
Nickell, S. 1981. Biases in dynamic models with fixed effects. Econometrica 49: 1417–1426.
Roodman, D.M. 2009. A note on the theme of too many instruments. Oxford Bulletin of Economics and Statistics 71: 135–158.
Schaller, H. 1990. A re-examination of the q theory of investment using U.S. firm data. Journal of Applied Economics 5: 209–325.
Schmidt, P., S.C. Ahn, and D. Wyhowski. 1992. Comment. Journal of Business and Economic Statistics 10: 10–14.
Tauchen, G. 1986. Statistical properties of generalized method of moments estimators of structural parameters obtained from financial market data. Journal of Business and Economic Statistics 4: 397–416.
Wansbeek, T.J., and P. Bekker. 1996. On IV, GMM and ML in a dynamic panel data model. Economics Letters 51: 145–152.
Wansbeek, T.J., and T. Knapp. 1999. Estimating a dynamic panel data model with heterogeneous trends. Annales D’Économie et de Statistique 55–56: 331–349.
Windmeijer, F. 2005. A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics 126: 25–51.
Ziliak, J.P. 1997. Efficient estimation with panel data when instruments are predetermined: An empirical comparison of moment-condition estimators. Journal of Business and Economic Statistics 15: 419–431.
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Baltagi, B.H. (2021). Dynamic Panel Data Models. In: Econometric Analysis of Panel Data. Springer Texts in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-53953-5_8
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