IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v127y2015icp47-50.html
   My bibliography  Save this article

An LM test based on generalized residuals for random effects in a nonlinear model

Author

Listed:
  • Greene, William
  • McKenzie, Colin

Abstract

We obtain an LM test for the random effects probit model. In the natural parameterization of the model the necessary derivatives are identically zero under the null hypothesis. After a reparameterization, the feasible LM test is based on generalized residuals.

Suggested Citation

  • Greene, William & McKenzie, Colin, 2015. "An LM test based on generalized residuals for random effects in a nonlinear model," Economics Letters, Elsevier, vol. 127(C), pages 47-50.
    • Handle: RePEc:eee:ecolet:v:127:y:2015:i:c:p:47-50
    DOI: 10.1016/j.econlet.2014.12.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176514004923
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2014.12.031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Wiji Arulampalam, 1999. "A Note on Estimated Coefficients in Random Effects Probit Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 597-602, November.
    2. Lee, Lung-Fei & Chesher, Andrew, 1986. "Specification testing when score test statistics are identically zero," Journal of Econometrics, Elsevier, vol. 31(2), pages 121-149, March.
    3. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    4. Andreas Million & Regina T. Riphahn & Achim Wambach, 2003. "Incentive effects in the demand for health care: a bivariate panel count data estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 387-405.
    5. Chesher, Andrew D, 1984. "Testing for Neglected Heterogeneity," Econometrica, Econometric Society, vol. 52(4), pages 865-872, July.
    6. Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-764, May.
    7. Gourieroux, Christian & Monfort, Alain & Renault, Eric & Trognon, Alain, 1987. "Generalised residuals," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 5-32.
    8. Andrews, Donald W K, 2001. "Testing When a Parameter Is on the Boundary of the Maintained Hypothesis," Econometrica, Econometric Society, vol. 69(3), pages 683-734, May.
    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. William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice, 2021. "Specification and testing of hierarchical ordered response models with anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 31-64, January.
    2. Kharisma, Bayu, 2017. "Idiosyncratic Shocks, Child Labor and School Attendance in Indonesia," MPRA Paper 78887, University Library of Munich, Germany, revised 06 Apr 2017.

    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. William Greene & Colin McKenzie, 2012. "LM Tests for Random Effects," Working Papers 12-14, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. 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.
    3. Jonathan Feinstein & Daniel McFadden, 1989. "The Dynamics of Housing Demand by the Elderly: Wealth, Cash Flow, and Demographic Effects," NBER Chapters, in: The Economics of Aging, pages 55-92, National Bureau of Economic Research, Inc.
    4. Georgios Marios Chrysanthou, 2007. "Determinants of Trade Union Membership in Great Britain During 1991-2003," Discussion Papers 07/01, Department of Economics, University of York.
    5. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    6. Hahn, Jinyong & Newey, Whitney K. & Smith, Richard J., 2014. "Neglected heterogeneity in moment condition models," Journal of Econometrics, Elsevier, vol. 178(P1), pages 86-100.
    7. Hammar, Henrik & Carlsson, Fredrik, 2001. "Smokers' Decisions To Quit Smoking," Working Papers in Economics 59, University of Gothenburg, Department of Economics.
    8. Greene, William, 2007. "Functional Form and Heterogeneity in Models for Count Data," Foundations and Trends(R) in Econometrics, now publishers, vol. 1(2), pages 113-218, August.
    9. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    10. F. Javier Mencía & Enrique Sentana, 2004. "Estimation and Testing of Dynamic Models with Generalised Hyperbolic Innovations," Working Papers wp2004_0411, CEMFI.
    11. Matteo Bottai & Nicola Orsini, 2004. "Confidence intervals for the variance component of random-effects linear models," Stata Journal, StataCorp LP, vol. 4(4), pages 429-435, December.
    12. Centorrino, Samuele & Perez Urdiales, Mari­a & Bravo-Ureta, Boris & Wall, Alan, 2021. "Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 312058, Agricultural Economics Society - AES.
    13. David Todem & Wei‐Wen Hsu & KyungMann Kim, 2023. "Nonparametric scanning tests of homogeneity for hierarchical models with continuous covariates," Biometrics, The International Biometric Society, vol. 79(3), pages 2063-2075, September.
    14. Marco Francesconi & Carlos García Serrano, 2004. "Unions, Temporary Employment and Hours of Work: A Tale of Two Countries," Revista de Economía Laboral - Spanish Journal of Labour Economics, Asociación Española de Economía Laboral - AEET, vol. 1, pages 38-75.
    15. Hsiao, Cheng & Pesaran, M. Hashem & Pick, Andreas, 2007. "Diagnostic Tests of Cross Section Independence for Nonlinear Panel Data Models," IZA Discussion Papers 2756, Institute of Labor Economics (IZA).
    16. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    17. Gouriéroux, Christian, 1994. "Modèles économétriques : utilisation et interprétation (les)," CEPREMAP Working Papers (Couverture Orange) 9423, CEPREMAP.
    18. Centorrino, Samuele & Pérez-Urdiales, María, 2023. "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, vol. 234(1), pages 82-105.
    19. Paula K. Lorgelly & Joanne Lindley, 2008. "What is the relationship between income inequality and health? Evidence from the BHPS," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 249-265, February.
    20. Gabriele Fiorentini & Enrique Sentana, 2016. "Neglected serial correlation tests in UCARIMA models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(1), pages 121-178, March.

    More about this item

    Keywords

    LM test; Panel data; Probit; Random effects;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

    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:eee:ecolet:v:127:y:2015:i:c:p:47-50. 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/locate/ecolet .

    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.