IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-04c50033.html
   My bibliography  Save this article

"A regression error specification test (RESET) for generalized linear models"

Author

Listed:
  • Sunil Sapra

    (Department of Economics & Statistics, California State University, Los Angeles)

Abstract

Generalized linear models (GLMs) are generalizations of linear regression models, which allow fitting regression models to response data that follow a general exponential family. GLMs are used widely in social sciences for fitting regression models to count data, qualitative response data and duration data. While a variety of specification tests have been developed for the linear regression model and are routinely applied for testing for misspecification of functional form, omitted variables, and the normality assumption, such tests and their applications to GLMs are uncommon. This paper develops a regression error specification test (RESET) for GLMs as an extension of the popular RESET for the linear regression model (Ramsey (1969)). Applications of the RESET to three economic data sets are presented and the finite sample power properties are studied via a Monte Carlo experiment.

Suggested Citation

  • Sunil Sapra, 2005. ""A regression error specification test (RESET) for generalized linear models"," Economics Bulletin, AccessEcon, vol. 3(1), pages 1-6.
    • Handle: RePEc:ebl:ecbull:eb-04c50033
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/pubs/EB/2005/Volume3/EB-04C50033A.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Davidson, Russell & MacKinnon, James G., 1984. "Convenient specification tests for logit and probit models," Journal of Econometrics, Elsevier, vol. 25(3), pages 241-262, July.
    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. Kian Tehranian, 2023. "Can Machine Learning Catch Economic Recessions Using Economic and Market Sentiments?," Papers 2308.16200, arXiv.org.
    2. Nguyen, Quyen T.K. & Almodóvar, Paloma & Wei, Ziyi, 2022. "Intra-firm and arm’s length export propensity and intensity of MNE foreign subsidiaries," Journal of Business Research, Elsevier, vol. 145(C), pages 288-308.
    3. Gonzalo Villa‐Cox & Francesco Cavazza & Cristian Jordan & Mijail Arias‐Hidalgo & Paúl Herrera & Ramon Espinel & Davide Viaggi & Stijn Speelman, 2021. "Understanding constraints on private irrigation adoption decisions under uncertainty in data constrained settings: A novel empirical approach tested on Ecuadorian Cocoa cultivations," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 985-999, November.
    4. Eldomiaty, Tarek & Saeed, Yasmeen & Hammam, Rasha & AboulSoud, Salma, 2020. "The associations between stock prices, inflation rates, interest rates are still persistent: Empirical evidence from stock duration model," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 25(49), pages 149-161.
    5. Zawadzki Adam, 2023. "Macroeconomic Determinants of Credit Risk on the Example of Non-performing Loans," Central European Economic Journal, Sciendo, vol. 10(57), pages 275-286, January.
    6. Daniel A. Griffith & Yongwan Chun, 2016. "Evaluating Eigenvector Spatial Filter Corrections for Omitted Georeferenced Variables," Econometrics, MDPI, vol. 4(2), pages 1-12, June.
    7. Mina K. Bishara & Panagiotis Andrikopoulos & Tarek Eldomiaty, 2020. "Ownership structure, information asymmetry and growth of the firm: Implications from nonfinancial firms listed in S&P500," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1580-1589, December.

    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. DeJong, D.V. & Blume, A. & Neumann, G., 1998. "Learning in Sender-Receiver Games," Other publications TiSEM 4a8b4f46-f30b-4ad2-bb0c-1, Tilburg University, School of Economics and Management.
    2. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
    3. Arduini, Davide & Belotti, Federico & Denni, Mario & Giungato, Gerolamo & Zanfei, Antonello, 2010. "Technology adoption and innovation in public services the case of e-government in Italy," Information Economics and Policy, Elsevier, vol. 22(3), pages 257-275, July.
    4. D. Fabbri & C. Monfardini & R. Radice, 2004. "Testing exogeneity in the bivariate probit model: Monte Carlo evidence and an application to health economics," Working Papers 514, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. 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.
    6. Blume, A. & DeJong, D.V. & Neumann, G. & Savin, N.E., 2000. "Learning and Communication in Sender-Reciever Games : An Economic Investigation," Other publications TiSEM 138dc36b-5269-421a-9e79-b, Tilburg University, School of Economics and Management.
    7. Keith F. Gilsdorf & Vasant A. Sukhatme, 2008. "Testing Rosen's Sequential Elimination Tournament Model," Journal of Sports Economics, , vol. 9(3), pages 287-303, June.
    8. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    9. J. M. C. Santos Silva & Silvana Tenreyro, 2015. "Trading Partners and Trading Volumes: Implementing the Helpman–Melitz–Rubinstein Model Empirically," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(1), pages 93-105, February.
    10. Esmeralda A. Ramalho & Joaquim J. S. Ramalho & José M. R. Murteira, 2014. "A Generalized Goodness-of-functional Form Test for Binary and Fractional Regression Models," Manchester School, University of Manchester, vol. 82(4), pages 488-507, July.
    11. N.E. Savin & Allan Wurtz, 1996. "The Effect of Nuisance Parameters on the Power of LM Tests in Logit and Probit Models," Econometrics 9606002, University Library of Munich, Germany.
    12. Fortney, Jennifer & Arano, Kathryn G. & Jacobson, Michael, 2011. "An evaluation of West Virginia's Managed Timberland Tax Incentive Program," Forest Policy and Economics, Elsevier, vol. 13(1), pages 69-78, January.
    13. Davidson, Russell & MacKinnon, James G., 2007. "Improving the reliability of bootstrap tests with the fast double bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3259-3281, April.
    14. Russell Davidson & James G. MacKinnon, 1988. "Specification Tests Based on Artificial Regressions," Working Paper 707, Economics Department, Queen's University.
    15. Granger, Maury D. & Price, Gregory N., 2007. "The tree of science and original sin: Do christian religious beliefs constrain the supply of scientists?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(1), pages 144-160, February.
    16. Kodila-Tedika, Oasis & Khalifa, Sherif, 2019. "State History and State Fragility: Evidence from Sub-Saharan Africa," MPRA Paper 97871, University Library of Munich, Germany.
    17. Young, Gary & Valdez, Emiliano A. & Kohn, Robert, 2009. "Multivariate probit models for conditional claim-types," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 214-228, April.
    18. David Magaña-Lemus & Ariun Ishdorj & C. Parr Rosson & Jorge Lara-Álvarez, 2016. "Determinants of household food insecurity in Mexico," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-20, December.
    19. Michael Lechner, 2000. "An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 347-375.
    20. Lechner, Michael & Smith, Jeffrey, 2007. "What is the value added by caseworkers?," Labour Economics, Elsevier, vol. 14(2), pages 135-151, April.

    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    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:ebl:ecbull:eb-04c50033. 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: John P. Conley (email available below). General contact details of provider: .

    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.