IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Simple tests for exogeneity of a binary explanatory variable in count data regression models

  • Kevin E. Staub

    ()

    (Socioeconomic Institute, University of Zurich)

This article investigates power and size of some tests for exogeneity of a binary explanatory variable in count models by conducting extensive Monte Carlo simulations. The tests under consideration are Hausman contrast tests as well as univariate Wald tests, including a new test of notably easy implementation. Performance of the tests is explored under misspecification of the underlying model and under different conditions regarding the instruments. The results indicate that often the tests that are simpler to estimate outperform tests that are more demanding. This is especially the case for the new test.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.soi.uzh.ch/research/wp/2009/wp0904.pdf
File Function: first version, 2009
Download Restriction: no

Paper provided by Socioeconomic Institute - University of Zurich in its series SOI - Working Papers with number 0904.

as
in new window

Length: 30 pages
Date of creation: Feb 2009
Date of revision:
Publication status: published in Communications in Statistics: Simulation and Computation, 38(9), pp. 1834-1855, 2009
Handle: RePEc:soz:wpaper:0904
Contact details of provider: Postal: Rämistrasse 71, CH-8006 Zürich
Phone: +41-1-634 21 37
Fax: +41-1-634 49 82
Web page: http://www.soi.uzh.ch/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Andrés Romeu & Marcos Vera-Hernández, 2004. "Counts With An Endogenous Binary Regressor: A Series Expansion Approach," Working Papers. Serie AD 2004-36, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  2. Windmeijer, F A G & Silva, J M C Santos, 1997. "Endogeneity in Count Data Models: An Application to Demand for Health Care," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 281-94, May-June.
  3. Peter Egger & Mario Larch & Kevin E. Staub & Rainer Winkelmann, 2010. "The Trade Effects of Endogenous Preferential Trade Agreements," SOI - Working Papers 1013, Socioeconomic Institute - University of Zurich.
  4. Hiroaki Masuhara, 2008. "Semi-nonparametric count data estimation with an endogenous binary variable," Economics Bulletin, AccessEcon, vol. 3(42), pages 1-13.
  5. Quintana-Garci­a, Cristina & Benavides-Velasco, Carlos A., 2008. "Innovative competence, exploration and exploitation: The influence of technological diversification," Research Policy, Elsevier, vol. 37(3), pages 492-507, April.
  6. Alfonso Miranda, 2004. "FIML estimation of an endogenous switching model for count data," Stata Journal, StataCorp LP, vol. 4(1), pages 40-49, March.
  7. repec:ebl:ecbull:v:3:y:2008:i:42:p:1-13 is not listed on IDEAS
  8. John Mullahy, 1997. "Instrumental-Variable Estimation Of Count Data Models: Applications To Models Of Cigarette Smoking Behavior," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 586-593, November.
  9. Francois Degeorge & Francois Derrien & Kent L. Womack, 2007. "Analyst Hype in IPOs: Explaining the Popularity of Bookbuilding," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1021-1058.
  10. Michael Creel, 2004. "Modified Hausman tests for inefficient estimators," Applied Economics, Taylor & Francis Journals, vol. 36(21), pages 2373-2376.
  11. Chiara Monfardini & Rosalba Radice, 2008. "Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 271-282, 04.
  12. Terza, Joseph V., 1998. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects," Journal of Econometrics, Elsevier, vol. 84(1), pages 129-154, May.
  13. Austin Nichols, 2007. "IVPOIS: Stata module to estimate an instrumental variables Poisson regression via GMM," Statistical Software Components S456890, Boston College Department of Economics, revised 03 Sep 2008.
  14. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
  15. Santos Silva, J.M.C & Tenreyro, Silvana, 2005. "The Log of Gravity," CEPR Discussion Papers 5311, C.E.P.R. Discussion Papers.
  16. Grogger, Jeffrey, 1990. "A simple test for exogeneity in probit, logit, and poisson regression models," Economics Letters, Elsevier, vol. 33(4), pages 329-332, August.
  17. Patrik Guggenberger, 2008. "The Impact of a Hausman Pretest on the Size of Hypothesis Tests," Cowles Foundation Discussion Papers 1651, Cowles Foundation for Research in Economics, Yale University.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:soz:wpaper:0904. 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: (Marita Kieser)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.