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Combining panel data and macro information: an application to the estimation of a participation model

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  • Laisney, François
  • Lechner, Michael

Abstract

When studying particular subgroups of a population, like for instance lone parents, the econometrician typically has few observations at hand. In such a situation, it is vital to take advantage of any valid complementary information that may be available. In this paper we illustrate, for the estimation of a participation model for lone mothers on data from the German Socio-Economic Panel 1984-1990, the relative benefits derived from using the panel structure of the data and from including macro information in the form of extra moments, as proposed by Imbens and Lancaster. The efficiency gains we find amount to having up to six times as many observations, 'and are shared almost equally between using the panel structure optimally and including macro information.

Suggested Citation

  • Laisney, François & Lechner, Michael, 1993. "Combining panel data and macro information: an application to the estimation of a participation model," ZEW Discussion Papers 93-23, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  • Handle: RePEc:zbw:zewdip:9323
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Avery, Robert B & Hansen, Lars Peter & Hotz, V Joseph, 1983. "Multiperiod Probit Models and Orthogonality Condition Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(1), pages 21-35, February.
    3. Hausman, Jerry A, 1985. "The Econometrics of Nonlinear Budget Sets," Econometrica, Econometric Society, vol. 53(6), pages 1255-1282, November.
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    Cited by:

    1. van den Berg, Gerard J. & van der Klaauw, Bas, 2001. "Combining micro and macro unemployment duration data," Journal of Econometrics, Elsevier, vol. 102(2), pages 271-309, June.

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