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Tests of Independence in Separable Econometric Models: Theory and Application

Author

Listed:
  • Donald J. Brown

    () (Economic Growth Center, Yale University)

  • Rahul Deb

    () (Yale University)

  • Marten H. Wegkamp

    () (Florida State University)

Abstract

A common stochastic restriction in econometric models separable in the latent variables is the assumption of stochastic independence between the unobserved and observed exogenous variables. Both simple and composite tests of this assumption are derived from properties of independence empirical processes and the consistency of these tests is established. As an application, we stimulate estimation of a random quasilinear utility function, where we apply our tests of independence.

Suggested Citation

  • Donald J. Brown & Rahul Deb & Marten H. Wegkamp, 2006. "Tests of Independence in Separable Econometric Models: Theory and Application," Working Papers 946, Economic Growth Center, Yale University.
  • Handle: RePEc:egc:wpaper:946
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    File URL: http://www.econ.yale.edu/growth_pdf/cdp946.pdf
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    References listed on IDEAS

    as
    1. Donald J. Brown & Marten H. Wegkamp, 2002. "Weighted Minimum Mean-Square Distance from Independence Estimation," Econometrica, Econometric Society, vol. 70(5), pages 2035-2051, September.
    2. Roehrig, Charles S, 1988. "Conditions for Identification in Nonparametric and Parametic Models," Econometrica, Econometric Society, vol. 56(2), pages 433-447, March.
    3. C. Lanier Benkard & Steven Berry, 2006. "On the Nonparametric Identification of Nonlinear Simultaneous Equations Models: Comment on Brown (1983) and Roehrig (1988)," Econometrica, Econometric Society, vol. 74(5), pages 1429-1440, September.
    4. Brown, Bryan W, 1983. "The Identification Problem in Systems Nonlinear in the Variables," Econometrica, Econometric Society, vol. 51(1), pages 175-196, January.
    5. Rosa L. Matzkin, 2008. "Identification in Nonparametric Simultaneous Equations Models," Econometrica, Econometric Society, vol. 76(5), pages 945-978, September.
    6. Donald Brown & Caterina Calsamiglia, 2007. "The Nonparametric Approach to Applied Welfare Analysis," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 31(1), pages 183-188, April.
    7. C. Lanier Benkard & Steven Berry, "undated". "On the Nonparametric Identification of Nonlinear Simultaneous Equations Models: comment on B. Brown (1983) and Roehrig (1988)," Cowles Foundation Discussion Papers 1482, Cowles Foundation for Research in Economics, Yale University.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Cramér-von Mises distance; empirical independence processes; random utility models; semiparametric econometric models; specification test of independence;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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