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Neglected dynamics in panel data models; consequences and detection in finite samples

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  • I. T. van den Doel
  • J. F. Kiviet

Abstract

The bias of various estimators for static cross‐section and panel data models is assessed in a simulation study, where the actual data generating process is a dynamic adjustment mechanism with random individual effects. It is concluded that the consequences of incorrectly estimating a static model can be rather serious. Therefore, it is important to have an accurate technique available for the detection of dynamics. Two exact similar tests for the presence of a lagged dependent variable in panel data models are developed; in some simulation experiments these tests outperform standard asymptotic test procedures. Empirical results on Engle curves for food illustrate the above issues.

Suggested Citation

  • I. T. van den Doel & J. F. Kiviet, 1995. "Neglected dynamics in panel data models; consequences and detection in finite samples," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 49(3), pages 343-361, November.
    • Handle: RePEc:bla:stanee:v:49:y:1995:i:3:p:343-361
    DOI: 10.1111/j.1467-9574.1995.tb01474.x
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    Cited by:

    1. Boogen, Nina & Datta, Souvik & Filippini, Massimo, 2021. "Estimating residential electricity demand: New empirical evidence," Energy Policy, Elsevier, vol. 158(C).
    2. Alain Pirotte & Jesús Mur, 2017. "Neglected dynamics and spatial dependence on panel data: consequences for convergence of the usual static model estimators," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 202-229, July.
    3. Kaushik Deb & Massimo Filippini, 2013. "Public Bus Transport Demand Elasticities in India," Journal of Transport Economics and Policy, University of Bath, vol. 47(3), pages 419-436, September.
    4. Godoy-Bejarano, Jesús M. & Ruiz-Pava, Guillermo A. & Téllez-Falla, Diego F., 2020. "Environmental complexity, slack, and firm performance," Journal of Economics and Business, Elsevier, vol. 112(C).
    5. Alfonso Ugarte, 2016. "Long and short-run components in explanatory variables and different panel-data estimates," Working Papers 16/10, BBVA Bank, Economic Research Department.

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