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xtdpdqml: Quasi-maximum likelihood estimation of linear dynamic short-T panel-data models

Listed author(s):
  • Sebastian Kripfganz

    (University of Exeter Business School)

In this presentation, I discuss the new Stata command xtdpdqml, which implements the unconditional quasi-maximum likelihood estimators of Bhargava and Sargan (1983, Econometrica 51: 1635–1659) for linear dynamic panel models with random effects and of Hsiao, Pesaran, and Tahmiscioglu (2002, Journal of Econometrics 109: 107–150) for linear dynamic panel models with fixed effects when the number of cross-sections is large and the time dimension is fixed. The marginal distribution of the initial observations is modeled as a function of the observed variables to circumvent a short-T dynamic panel-data bias. Robust standard errors are available following the arguments of Hayakawa and Pesaran (2015, Journal of Econometrics 188: 111–134). xtdpdqml also supports standard postestimation commands, including suest, which can be used for a generalized Hausman test to discriminate between the dynamic random-effects and the dynamic fixed-effects model.

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File URL: http://repec.org/usug2016/kripfganz_uksug16.pdf
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Paper provided by Stata Users Group in its series United Kingdom Stata Users' Group Meetings 2016 with number 12.

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Date of creation: 16 Sep 2016
Handle: RePEc:boc:usug16:12
Contact details of provider: Web page: http://www.stata.com/meeting/uk16

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  1. Sebastian Kripfganz, 2016. "Quasi–maximum likelihood estimation of linear dynamic short-T panel-data models," Stata Journal, StataCorp LP, vol. 16(4), pages 1013-1038, December.
  2. Everaert, Gerdie & Pozzi, Lorenzo, 2007. "Bootstrap-based bias correction for dynamic panels," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1160-1184, April.
  3. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
  4. 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.
  5. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
  6. Richard Williams & Paul Allison & Enrique Moral Benito, 2015. "Linear Dynamic Panel-Data Estimation using Maximum Likelihood and Structural Equation Modeling," 2015 Stata Conference 11, Stata Users Group.
  7. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-based bias correction and inference for dynamic panels with fixed effects," Stata Journal, StataCorp LP, vol. 15(4), pages 986-1018, December.
  8. 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.
  9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
  10. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
  11. 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.
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