IDEAS home Printed from
   My bibliography  Save this article

On the Use of Distributional Mis-specification Checks in Limited Dependent Variable Models


  • Smith, Richard J


A unified approach to testing for distributional misspecification in parametric limited dependent variable models is described and discussed. The approach involves examining the significance of certain moment-type expressions. A form of the test statistic may be obtained as nR(superscript)2 from a simple least squares regression. The procedure is sufficiently general to subsume several tests already described in the literature for particular limited dependent variable models, but to have a wider applicability. Two practical examples, binary choice and duration analysis, are provided both to motivate the procedure and to illustrate the implementation of the methodology. Copyright 1989 by Royal Economic Society.

Suggested Citation

  • Smith, Richard J, 1989. "On the Use of Distributional Mis-specification Checks in Limited Dependent Variable Models," Economic Journal, Royal Economic Society, vol. 99(395), pages 178-192, Supplemen.
  • Handle: RePEc:ecj:econjl:v:99:y:1989:i:395:p:178-92

    Download full text from publisher

    File URL:
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See for details.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Alan J. Auerbach & Laurence J. Kotlikoff, 1983. "National Savings, Economic Welfare, and the Structure of Taxation," NBER Chapters,in: Behavioral Simulation Methods in Tax Policy Analysis, pages 459-498 National Bureau of Economic Research, Inc.
    2. Judd, Kenneth L, 1987. "A Dynamic Theory of Factor Taxation," American Economic Review, American Economic Association, vol. 77(2), pages 42-48, May.
    3. Brock, William A & Turnovsky, Stephen J, 1981. "The Analysis of Macroeconomic Policies in Perfect Foresight Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 22(1), pages 179-209, February.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. James Mitchell & Richard J. Smith & Martin R. Weale, 2002. "Quantification of Qualitative Firm-Level Survey Data," Economic Journal, Royal Economic Society, vol. 112(478), pages 117-135, March.
    2. Esmeralda A. Ramalho & Joaquim J. S. Ramalho & José M. R. Murteira, 2014. "A Generalized Goodness-of-functional Form Test for Binary and Fractional Regression Models," Manchester School, University of Manchester, vol. 82(4), pages 488-507, July.
    3. Riccardo Lucchetti & Claudia Pigini, 2013. "A test for bivariate normality with applications in microeconometric models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(4), pages 535-572, November.
    4. Teresa Aparicio & Inmaculada Villanua, 2001. "The asymptotically efficient version of the information matrix test in binary choice models. A study of size and power," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(2), pages 167-182.
    5. Mora Rodriguez, Jhon James, 2013. "Introduccion a la teoría del consumidor
      [Introduction to Consumer Theory]
      ," MPRA Paper 48129, University Library of Munich, Germany, revised 08 Jul 2013.

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecj:econjl:v:99:y:1989:i:395:p:178-92. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.