IDEAS home Printed from https://ideas.repec.org/p/boc/norl13/12.html
   My bibliography  Save this paper

Demand System estimation with Stata: Multivariate censoring and other econometric issues

Author

Listed:
  • Soufiane Khoudmi

    (University of Montpellier, LAMETA, France)

  • Benoit Mulkay

    (University of Montpellier , France)

Abstract

This presentation provides a Stata application for the estimation of Blundell, Banks and Lewbel’s (1997) demand system, dealing with the zero problem which is in the heart of many expenditure survey analysis. Starting from Poi’s (2008) routine, our main contribution is the multivariate censoring correction, implementing Tauchman (2010) theoretical framework which relies on including correction terms in the system. These latters are computed from a multivariate probit estimated with Simulated Maximum Likelihood using Cappellari and Jenkins’ (2007) mvnp routine. We also discuss how to deal with several econometric issues related to the demand system estimation literature: Total budget endogeneity, the conditional linearity and the symmetry restriction (using Minimum Distance estimator).

Suggested Citation

  • Soufiane Khoudmi & Benoit Mulkay, 2013. "Demand System estimation with Stata: Multivariate censoring and other econometric issues," 2013 Stata Conference 12, Stata Users Group.
    • Handle: RePEc:boc:norl13:12
    as

    Download full text from publisher

    File URL: http://repec.org/norl13/soufliane.pdf
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    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:boc:norl13:12. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.