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Long Run and Short Effects in Static Panel Models

Author

Listed:
  • Peter Egger

    (University of Innsbruck)

  • Michael Pfaffermayr

    (University of Innsbruck)

Abstract

For short and fat panels the Mundlak model can be viewed as an approximation of a general dynamic autoregressive distributed lag model. We give an exact interpretation of short run and long effects and provide simulations to assess the quality of the approximation of the long run and short run effects by the parameters of the Mundlak Model.

Suggested Citation

  • Peter Egger & Michael Pfaffermayr, 2002. "Long Run and Short Effects in Static Panel Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B6-2, International Conferences on Panel Data.
    • Handle: RePEc:cpd:pd2002:b6-2
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    File URL: http://econpapers.repec.org/cpd/2002/44_Pfaffermayer.pdf
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    References listed on IDEAS

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    1. Cornwell, Christopher & Schmidt, Peter & Wyhowski, Donald, 1992. "Simultaneous equations and panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 151-181.
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    3. Baltagi, Badi H. & Li, Qi, 1991. "A transformation that will circumvent the problem of autocorrelation in an error-component model," Journal of Econometrics, Elsevier, vol. 48(3), pages 385-393, June.
    4. Baltagi, Badi H & Griffin, James M, 1984. "Short and Long Run Effects in Pooled Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 631-645, October.
    5. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    6. Amemiya, Takeshi, 1971. "The Estimation of the Variances in a Variance-Components Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 12(1), pages 1-13, February.
    7. Pirotte, Alain, 1999. "Convergence of the static estimation toward the long run effects of dynamic panel data models," Economics Letters, Elsevier, vol. 63(2), pages 151-158, May.
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    Cited by:

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    More about this item

    Keywords

    Random Effects Models; Mundlak Model; Panel Econometrics;
    All these keywords.

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