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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
-
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 -
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 -
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 -
Davidson, R. / MacKinnon, J. (1993), Estimation and Inference in Econometrics. Oxford University Press, Oxford.
Google Scholar -
Hanefeld, U. (1987), Das Sozioökonomische Panel. Campus Verlag, Berlin.
Google Scholar -
Hansen, L. P. (1982), “Large Sample Properties of Generalised Method of Moments Estimators”, Econometrica, 50, 1029-1054.
Google Scholar -
Imbens, G. W. / Lancaster, T. (1994), “Combining Micro and Macro Data in Microeconometric Models”, Review of Economic Studies, 61, 655-680.
Google Scholar -
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 -
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 -
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 -
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 -
Little, R. J. A. / Rubin, D. B. (1987), Statistical Analysis with Missing Data, Wiley, New York.
Google Scholar -
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 -
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 -
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 -
Rubin, D.B. (1976), “Inference and Missing Data”, Biometrika, 63, 581-592.
Google Scholar -
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 -
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.