IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v77y2007i13p1413-1417.html
   My bibliography  Save this article

Alternative ways of obtaining Hausman's test using artificial regressions

Author

Listed:
  • Baltagi, Badi H.
  • Liu, Long

Abstract

Hausman [1978. Specification tests in econometrics. Econometrica 46, 1251-1271] showed that his specification test in panel data, which is based on the contrast between fixed effects (FE) and the random effects (RE) estimators, can also be obtained as a Wald test from an artificial OLS regression. This paper generalizes this result to the 2SLS counterpart. Instead of a contrast based on FE 2SLS and RE 2SLS as proposed more recently by Baltagi [2004. A Hausman test based on the difference between fixed effects two-stage least squares and error components two-stage least squares, problem 04.1.1. Econometric Theory 20, 223-224] artificial regressions are proposed that would generate this Hausman test using 2SLS regressions.

Suggested Citation

  • Baltagi, Badi H. & Liu, Long, 2007. "Alternative ways of obtaining Hausman's test using artificial regressions," Statistics & Probability Letters, Elsevier, vol. 77(13), pages 1413-1417, July.
    • Handle: RePEc:eee:stapro:v:77:y:2007:i:13:p:1413-1417
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-7152(07)00070-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    References listed on IDEAS

    as
    1. Ahn, Seung C. & Low, Stuart, 1996. "A reformulation of the Hausman test for regression models with pooled cross-section-time-series data," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 309-319.
    2. Arellano, Manuel, 1993. "On the testing of correlated effects with panel data," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 87-97, September.
    3. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    4. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    5. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    6. Baltagi, Badi H., 2004. "04.1.1. A Hausman Test Based on the Difference between Fixed Effects Two-Stage Least Squares and Error Components Two-Stage Least Squares," Econometric Theory, Cambridge University Press, vol. 20(1), pages 223-224, February.
    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


    Cited by:

    1. W. Robert Knechel & Lasse Niemi & Mikko Zerni, 2013. "Empirical Evidence on the Implicit Determinants of Compensation in Big 4 Audit Partnerships," Journal of Accounting Research, Wiley Blackwell, vol. 51(2), pages 349-387, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. O'Brien, Raymond & Patacchini, Eleonora, 2003. "Testing the exogeneity assumption in panel data models with "non classical" disturbances," Discussion Paper Series In Economics And Econometrics 0302, Economics Division, School of Social Sciences, University of Southampton.
    2. Yushi Yoshida & Hiro Ito, 2006. "How Do the Asian Economies Compete With Japan in the US Market? Is China Exceptional? A Triangular Trade Approach," Asia Pacific Business Review, Taylor & Francis Journals, vol. 12(3), pages 285-307, July.
    3. Badi H. Baltagi, 1999. "Specification Tests in Panel Data Models Using Artificial Regressions," Annals of Economics and Statistics, GENES, issue 55-56, pages 277-297.
    4. Georges Bresson & Guy Lacroix & Mohammad Arshad Rahman, 2021. "Bayesian panel quantile regression for binary outcomes with correlated random effects: an application on crime recidivism in Canada," Empirical Economics, Springer, vol. 60(1), pages 227-259, January.
    5. Ahn, Seung C. & Low, Stuart, 1996. "A reformulation of the Hausman test for regression models with pooled cross-section-time-series data," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 309-319.
    6. Chihwa Kao & Yongmiao Hong, 2004. "Detecting Neglected Nonlinearity in Dynamic Panel Data with Time-Varying Conditional Heteroskedasticity," Econometric Society 2004 Far Eastern Meetings 753, Econometric Society.
    7. Jones, Andrew M. & Wildman, John, 2008. "Health, income and relative deprivation: Evidence from the BHPS," Journal of Health Economics, Elsevier, vol. 27(2), pages 308-324, March.
    8. Hausman, Jerry A., 2003. "Triangular structural model specification and estimation with application to causality," Journal of Econometrics, Elsevier, vol. 112(1), pages 107-113, January.
    9. Chatelain, Jean-Bernard & Ralf, Kirsten, 2021. "Inference on time-invariant variables using panel data: A pretest estimator," Economic Modelling, Elsevier, vol. 97(C), pages 157-166.
    10. Jerry A. Hausman & Bart D. Ostro & David A. Wise, 1984. "Air Pollution and Lost Work," NBER Working Papers 1263, National Bureau of Economic Research, Inc.
    11. Lars Jensen & Teit Lüthje, 2009. "Driving forces of vertical intra-industry trade in Europe 1996–2005," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 145(3), pages 469-488, October.
    12. repec:jss:jstsof:27:i02 is not listed on IDEAS
    13. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    14. Nikolaev, V. & van Lent, L.A.G.M., 2005. "The Endogeneity Bias in the Relation Between Cost-of-Debt Capital and Corporate Disclosure Policy," Discussion Paper 2005-67, Tilburg University, Center for Economic Research.
    15. Manuel Arellano & Olympia Bover, 1990. "La econometría de datos de panel," Investigaciones Economicas, Fundación SEPI, vol. 14(1), pages 3-45, January.
    16. Badi H. Baltagi, 2006. "Estimating an economic model of crime using panel data from North Carolina," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 543-547.
    17. Anders Skrondal & Sophia Rabe-Hesketh, 2022. "The Role of Conditional Likelihoods in Latent Variable Modeling," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 799-834, September.
    18. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    19. Jean-Bernard Chatelain & Kirsten Ralf, 2010. "Inference on Time-Invariant Variables using Panel Data: A Pre-Test Estimator with an Application to the Returns to Schooling," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00492039, HAL.
    20. Ranjita Pandey & Anoop Chaturvedi, 2016. "Bayesian Inference For State Space Model With Panel Data," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 17(2), pages 211-219, June.
    21. Nikolaev, V. & van Lent, L.A.G.M., 2005. "The Endogeneity Bias in the Relation Between Cost-of-Debt Capital and Corporate Disclosure Policy," Other publications TiSEM 5960a342-0adc-4f85-bf87-2, Tilburg University, School of Economics and Management.

    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:eee:stapro:v:77:y:2007:i:13:p:1413-1417. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc 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 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    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.