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Combining Panel Data and Macro Information for the Estimation of a Panel Probit Model

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Laisney, F., Lechner, M. Combining Panel Data and Macro Information for the Estimation of a Panel Probit Model. Journal of Contextual Economics – Schmollers Jahrbuch, 116(3), 339-358. https://doi.org/10.3790/schm.116.3.339
Laisney, François and Lechner, Michael "Combining Panel Data and Macro Information for the Estimation of a Panel Probit Model" Journal of Contextual Economics – Schmollers Jahrbuch 116.3, 1996, 339-358. https://doi.org/10.3790/schm.116.3.339
Laisney, François/Lechner, Michael (1996): Combining Panel Data and Macro Information for the Estimation of a Panel Probit Model, in: Journal of Contextual Economics – Schmollers Jahrbuch, vol. 116, iss. 3, 339-358, [online] https://doi.org/10.3790/schm.116.3.339

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Combining Panel Data and Macro Information for the Estimation of a Panel Probit Model

Laisney, François | Lechner, Michael

Journal of Contextual Economics – Schmollers Jahrbuch, Vol. 116 (1996), Iss. 3 : pp. 339–358

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Laisney, François

Lechner, Michael

References

  1. Arellano, M. / Meghir, C. (1992), “Female Labour Supply and On the Job Search: An Empirical Model Estimated Using Complementary Data Sources”, Review of Economic Studies, 59, 537-557.  Google Scholar
  2. Avery, R. B. / Hansen, L. P. / Hotz, \V. J. (1983), “Multiperiod Probit Models and Orthogonality Condition Estimation”, International Economic Review, 24, 21-35.  Google Scholar
  3. Bertschek, I. / Lechner, M. (1995), “Convenient Estimators for the Panel Probit Model”, Discussion Paper 528-95, Institut für Volkswirtschaftslehre und Statistik, Universität Mannheim.  Google Scholar
  4. Davidson, R. / MacKinnon, J. (1993), Estimation and Inference in Econometrics. Oxford University Press, Oxford.  Google Scholar
  5. Hanefeld, U. (1987), Das Sozioökonomische Panel. Campus Verlag, Berlin.  Google Scholar
  6. Hansen, L. P. (1982), “Large Sample Properties of Generalised Method of Moments Estimators”, Econometrica, 50, 1029-1054.  Google Scholar
  7. Imbens, G. W. / Lancaster, T. (1994), “Combining Micro and Macro Data in Microeconometric Models”, Review of Economic Studies, 61, 655-680.  Google Scholar
  8. Jorgenson, D. W. / Lau, L. J. / Stoker, T. M. (1982), “The Transcendental Logarithmic Model of Aggregate Consumer Behavior”, in Advances in Econometrics, R.Basman and G.Rhodes (eds.). JAI Press, Greenwich.  Google Scholar
  9. Laisney, F. / Lechner, M. / Staat, M./ Wagenhals, G. (1993a), “Labour Force and Welfare Participation of Lone Mothers in West Germany”, ZEW Discussion paper 93-26.  Google Scholar
  10. Laisney, F. / Lechner, M. / van Soest, A. / Wagenhals, G. (1993b), “A Life-Cycle Labour Supply Model with Taxes Estimated on German Panel Data: The Case of Parallel Preferences”, Economic and Social Review, 24, 335-368.  Google Scholar
  11. Lechner, M. / Breitung, J. (1996), “Some GMM Estimation Methods and Specification Tests for Nonlinear Models”, Chapter 22 in , in The Econometrics of Panel Data: A Handbook of the Theory with Applications, L. Mätyäs and P. Sevestre (eds.), second revised ed., 582-612. Kluwer, Amsterdam.  Google Scholar
  12. Little, R. J. A. / Rubin, D. B. (1987), Statistical Analysis with Missing Data, Wiley, New York.  Google Scholar
  13. Newey, W. K. / McFadden, D. L. (1995), “Large Sample Estimation and Hypothesis Testing”, Chapter 36 in Handbook of Econometrics, Vol. IV, R.F. Engle and D.L. McFadden (eds.), 2113-2241. North Holland, Amsterdam.  Google Scholar
  14. Nichele, V. / Robin, J. M. (1995), “Simulation of Indirect Tax Reforms Using Pooled Micro and Macro French Data”, Journal of Public Economics, 56(2), 225-244.  Google Scholar
  15. Pischner, R. (1994), “Quer- und Längsschnittgewichtung des Sozio-ökonomischen Panels”, in Gewichtung in der Umfragepraxis, S. Gabler, J. Hoffmeyer-Zlotnick and D. Kreps (eds.), 166-187. Westdeutscher Verlag, Opladen.  Google Scholar
  16. Rubin, D.B. (1976), “Inference and Missing Data”, Biometrika, 63, 581-592.  Google Scholar
  17. Verbeek, M. / Nijman, T. (1992), “Incomplete Panels and Selection Bias”, in The Econometrics of Panel Data: Handbook of Theory and Applications, L. Mätyäs and P. Sevestre (eds.), 262-302. Kluwer, Amsterdam.  Google Scholar
  18. Wagner, G. / Burkhauser, R. / Behringer, F. (1993), “The English Language Public Use File of the German Socio Economic Panel Study”, Journal of Human Resources, 28, 429-433.  Google Scholar

Abstract

When studying particular subgroups of a population the econometrician typically has few observations, and should draw upon any additional relevant information. We illustrate, for the estimation of a participation model for lone mothers, the relative benefits derived from using the panel structure of the datain a GMM framework and from including macro information in the form of extra moments.