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Bootstrap-based bias correction and inference for dynamic panels with fixed effects

Author

Listed:
  • Ignace De Vos

    () (Ghent University)

  • Gerdie Everaert

    () (Ghent University)

  • Ilse Ruyssen

    () (Ghent University)

Abstract

In this article, we describe a new command, xtbcfe, that performs the iterative bootstrap-based bias correction for the fixed-effects estimator in dynamic panels proposed by Everaert and Pozzi (2007, Journal of Economic Dynamics and Control 31: 1160–1184). We first simplify the core of their algorithm by using the invariance principle and subsequently extend it to allow for unbalanced and higher-order dynamic panels. We implement various bootstrap error resampling schemes to account for general heteroskedasticity and contemporaneous cross-sectional dependence. Inference can be performed using a bootstrapped variance–covariance matrix or percentile intervals. Monte Carlo simulations show that the simplification of the original algorithm results in a further bias reduction for very small T. The Monte Carlo results also support the bootstrap-based bias correction in higher-order dynamic panels and panels with cross-sectional dependence. We illustrate the command with an empirical example estimating a dynamic labor–demand function. Copyright 2015 by StataCorp LP.

Suggested Citation

  • 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.
  • Handle: RePEc:tsj:stataj:v:15:y:2015:i:4:p:986-1018
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    References listed on IDEAS

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    Citations

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    Cited by:

    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. Alex Coad & Antonio Vezzani, 2017. "Manufacturing the future: is the manufacturing sector a driver of R&D, exports and productivity growth?," JRC Working Papers on Corporate R&D and Innovation 2017-06, Joint Research Centre (Seville site).
    3. Chortareas, Georgios & Logothetis, Vassilis & Papandreou, Andreas, 2018. "Public Opinion, Elections, and Environmental Fiscal Policy," Cardiff Economics Working Papers E2018/9, Cardiff University, Cardiff Business School, Economics Section.
    4. Reynaerts, Jo & Vanschoonbeek, Jakob, 2016. "The Economics of State Fragmentation: Assessing the Economic Impact of Secession - Addendum," MPRA Paper 72379, University Library of Munich, Germany.
    5. repec:cnb:ocpubv:rb16/1 is not listed on IDEAS
    6. Simona Malovana, 2017. "Banks' Capital Surplus and the Impact of Additional Capital Requirements," Working Papers 2017/8, Czech National Bank, Research Department.
    7. Reynaerts, Jo & Vanschoonbeek, Jakob, 2016. "The Economics of State Fragmentation - Assessing the Economic Impact of Secession," MPRA Paper 69681, University Library of Munich, Germany.
    8. repec:eee:juipol:v:48:y:2017:i:c:p:12-21 is not listed on IDEAS
    9. Van Gestel, R.; Müller, T.; Bosmans, J.;, 2017. "Learning from failure in healthcare: dynamic panel evidence of a physician shock effect," Health, Econometrics and Data Group (HEDG) Working Papers 17/24, HEDG, c/o Department of Economics, University of York.
    10. Raf Van Gestel, Tobias Mueller, Johan Bosmans, 2018. "Learning from failure in healthcare: Dynamic panel evidence of a physician shock effect," Diskussionsschriften dp1809, Universitaet Bern, Departement Volkswirtschaft.

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