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Introduction to the JBES Special Issue on Structural Estimation in Applied Microeconomics

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  • Keane, Michael
  • Wolpin, Kenneth

Abstract

In the introduction to the special issue, we discusses the important role of economic theory in drawing inferences about behavior from data. The papers in the special issue represent several different approaches to theory-based empirical analysis, ranging from "full solution" methods to the estimation of "approximate reduced-form decision rules." We contrast these various approaches to estimation.

Suggested Citation

  • Keane, Michael & Wolpin, Kenneth, 1997. "Introduction to the JBES Special Issue on Structural Estimation in Applied Microeconomics," MPRA Paper 55136, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:55136
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    File URL: https://mpra.ub.uni-muenchen.de/55136/1/MPRA_paper_55136.pdf
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    References listed on IDEAS

    as
    1. Keane, Michael P & Wolpin, Kenneth I, 1994. "The Solution and Estimation of Discrete Choice Dynamic Programming Models by Simulation and Interpolation: Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 648-672, November.
    2. Wolpin, Kenneth I, 1996. "Public-Policy Uses of Discrete-Choice Dynamic Programming Models," American Economic Review, American Economic Association, vol. 86(2), pages 427-432, May.
    3. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    4. David A. Wise, 1992. "Introduction to "Topics in the Economics of Aging"," NBER Chapters, in: Topics in the Economics of Aging, pages 1-19, National Bureau of Economic Research, Inc.
    5. David A. Wise, 1992. "Topics in the Economics of Aging," NBER Books, National Bureau of Economic Research, Inc, number wise92-1, March.
    6. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    7. Angrist, Joshua D, 1995. "Introduction to the JBES Symposium on Program and Policy Evaluation," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 133-136, April.
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    Cited by:

    1. Del Boca, Daniela & Sauer, Robert M., 2009. "Life cycle employment and fertility across institutional environments," European Economic Review, Elsevier, vol. 53(3), pages 274-292, April.
    2. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in Health-Services Market: Accounting for Quality and Quantity," Annals of Economics and Statistics, GENES, issue 91-92, pages 293-319.
    3. Winter, Joachim, 1997. "Ökonometrische Analyse diskreter dynamischer Entscheidungsprozesse," Sonderforschungsbereich 504 Publications 99-27, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    4. Chemla, Gilles & Hennessy, Christopher, 2019. "Equilibrium Counterfactuals," CEPR Discussion Papers 14146, C.E.P.R. Discussion Papers.
    5. Gilles Chemla & Christopher Hennessy, 2021. "Equilibrium Counterfactuals," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 639-669, May.
    6. Keane, Michael P., 2010. "Structural vs. atheoretic approaches to econometrics," Journal of Econometrics, Elsevier, vol. 156(1), pages 3-20, May.
    7. Yasutora Watanabe, 2008. "Ministerial Weights and Government Formation: Estimation Using a Bargaining Model," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 24(1), pages 95-119, May.

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    More about this item

    Keywords

    structural estimation; theory based empirical analysis; reduced form; approximate decision rule;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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