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    Testing for the absence of unobserved confounding in Semiparametric Bivariate Probit Models

    Radice, Rosalba and Marra, G. and Missiroli, S. (2014) Testing for the absence of unobserved confounding in Semiparametric Bivariate Probit Models. Computational Statistics 29 (3-4), pp. 715-741. ISSN 0943-4062.

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    Abstract

    Lagrange multiplier and Wald tests for the hypothesis of absence of unobserved confounding are extended to the context of semiparametric recursive and sample selection bivariate probit models. The finite sample size properties of the tests are examined through a Monte Carlo study using several scenarios: correct model specification, distributional and functional misspecification, with and without an exclusion restriction. The simulation results provide some guidelines which may be important for empirical analysis. The tests are illustrated using two datasets in which the issue of unobserved confounding arises.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Endogeneity, Lagrange multiplier test, Non-random sample selection, Penalized regression, spline, Wald test
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Economics, Mathematics and Statistics
    Depositing User: Rosalba Radice
    Date Deposited: 05 Jan 2016 15:37
    Last Modified: 05 Jan 2016 15:37
    URI: http://eprints.bbk.ac.uk/id/eprint/13840

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