Advanced Search
MyIDEAS: Login to save this article or follow this journal

A note on GMM estimation of probit models with endogenous regressors

Contents:

Author Info

  • Joachim Wilde

    ()

Abstract

Dagenais (1999) and Lucchetti (2002) have demonstrated that the naive GMM estimator of Grogger (1990) for the probit model with an endogenous regressor is not consistent. This paper completes their discussion by explaining the reason for the inconsistency and presenting a natural solution. Furthermore, the resulting GMM estimator is analyzed in a Monte-Carlo simulation and compared with alternative estimators.

(This abstract was borrowed from another version of this item.)

Download Info

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://hdl.handle.net/10.1007/s00362-006-0027-2
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Springer in its journal Statistical Papers.

Volume (Year): 49 (2008)
Issue (Month): 3 (July)
Pages: 471-484

as in new window
Handle: RePEc:spr:stpapr:v:49:y:2008:i:3:p:471-484

Contact details of provider:
Web page: http://www.springer.com/statistics/business/journal/362

Order Information:
Web: http://link.springer.de/orders.htm

Related research

Keywords: Generalized method of moments; Probit model; Endogenous regressor;

Other versions of this item:

Find related papers by JEL classification:

References

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. Dagenais, Marcel G., 1999. "Inconsistency of a proposed nonlinear instrumental variables estimator for probit and logit models with endogenous regressors," Economics Letters, Elsevier, vol. 63(1), pages 19-21, April.
  2. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 20(1), pages 88-97, January.
  3. Riccardo LUCCHETTI, 2000. "Inconsistency Of Naive GMM Estimation For QR Models With Endogenous Regressors," Working Papers 140, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  4. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, Elsevier, vol. 39(3), pages 347-366, November.
  5. Avery, Robert B & Hansen, Lars Peter & Hotz, V Joseph, 1983. "Multiperiod Probit Models and Orthogonality Condition Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(1), pages 21-35, February.
  6. Richard W. Blundell & James L. Powell, 2004. "Endogeneity in Semiparametric Binary Response Models," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 71, pages 655-679, 07.
  7. Daiji Kawaguchi & Hisahiro Naito, 2005. "The efficient moment estimation of the probit model with an endogenous continuous regressor," Hi-Stat Discussion Paper Series, Institute of Economic Research, Hitotsubashi University d05-106, Institute of Economic Research, Hitotsubashi University.
  8. Newey, Whitney K. & McFadden, Daniel, 1986. "Large sample estimation and hypothesis testing," Handbook of Econometrics, Elsevier, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 36, pages 2111-2245 Elsevier.
Full references (including those not matched with items on IDEAS)

Citations

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

Cited by:
  1. Modena, Francesca & Sabatini, Fabio, 2010. "I Would if I Could: Precarious Employment and Childbearing Intentions in Italy," MPRA Paper 26117, University Library of Munich, Germany.
  2. Romina Boarini & Lars Osberg & Francesca Modena & Concetta Rondinelli & Fabio Sabatini, 2014. "Economic Insecurity and Fertility Intentions: The Case of Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60, pages S233-S255, 05.
  3. Jean-Marie Dufour & Joachim Wilde, 2013. "Weak Identification in Probit Models with Endogenous Covariates," Working Papers, Institute of Empirical Economic Research 95, Institute of Empirical Economic Research, revised 28 Feb 2013.
  4. Qian Chen & David Giles, 2012. "Finite-sample properties of the maximum likelihood estimator for the binary logit model with random covariates," Statistical Papers, Springer, Springer, vol. 53(2), pages 409-426, May.
  5. Daniela Benavente, 2010. "Constraining and supporting effects of the multilateral trading system on U.S. unilateralism," IHEID Working Papers 09-2010, Economics Section, The Graduate Institute of International Studies.
  6. Austin Nichols, 2011. "Causal inference for binary regression with observational data," CHI11 Stata Conference, Stata Users Group 6, Stata Users Group.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:spr:stpapr:v:49:y:2008:i:3:p:471-484. 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: (Guenther Eichhorn) or (Christopher F Baum).

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.