IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/10080.html
   My bibliography  Save this paper

A test of the normality assumption in the ordered probit model

Author

Listed:
  • Johnson, Paul A.

Abstract

This paper presents an easily implemented test of the assumption of a normally distributed error term for the ordered probit model. As this assumption is the central maintained hypothesis in all estimation and testing based on this model, the test ought to serve as a key specification test in applied research. A small Monte Carlo experiment suggests that the test has good size and power properties.

Suggested Citation

  • Johnson, Paul A., 1996. "A test of the normality assumption in the ordered probit model," MPRA Paper 10080, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:10080
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/10080/2/MPRA_paper_10080.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bera, Anil K & Jarque, Carlos M & Lee, Lung-Fei, 1984. "Testing the Normality Assumption in Limited Dependent Variable Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 563-578, October.
    2. Becker, William E. & Kennedy, Peter E., 1992. "A Graphical Exposition of the Ordered Probit," Econometric Theory, Cambridge University Press, vol. 8(1), pages 127-131, March.
    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. Catherine Sofer & Natalia Radtchenko & Ekaterina Kalugina, 2008. "Une analyse du partage intra familial du revenu à partir de données subjectives," Économie et Prévision, Programme National Persée, vol. 186(5), pages 101-116.
    2. Baojin Wang & David Hensher & Tu Ton, 2002. "Safety in the road environment: a driver behavioural response perspective," Transportation, Springer, vol. 29(3), pages 253-270, August.
    3. 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.
    4. Darryl Holden & Roger Perman, 2014. "The convenient calculation of some test statistics in models of discrete choice," Working Papers 1410, University of Strathclyde Business School, Department of Economics.
    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. Thomas Husted & David Nickerson, 2021. "Private Support for Public Disaster Aid," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    7. Mora, Juan & Moro-Egido, Ana I., 2008. "On specification testing of ordered discrete choice models," Journal of Econometrics, Elsevier, vol. 143(1), pages 191-205, March.
    8. Holden, Darryl & Perman, Roger, 2014. "The convenient calculation of some test statistics in models of discrete choice," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon TN 2015-07, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

    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. Catherine Sofer & Natalia Radtchenko & Ekaterina Kalugina, 2008. "Une analyse du partage intra familial du revenu à partir de données subjectives," Économie et Prévision, Programme National Persée, vol. 186(5), pages 101-116.
    2. Ye, Xin & Garikapati, Venu M. & You, Daehyun & Pendyala, Ram M., 2017. "A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 173-192.
    3. Humphery-Jenner, M., 2011. "Anti-takeover Provisions as a Source of Innovation and Value Creation," Discussion Paper 2011-045, Tilburg University, Center for Economic Research.
    4. Frisch, L.C. & Mathis, J.T. & Kettle, N.P. & Trainor, S.F., 2015. "Gauging perceptions of ocean acidification in Alaska," Marine Policy, Elsevier, vol. 53(C), pages 101-110.
    5. Michael Pfaffermayr, 2014. "A GMM-Based Test for Normal Disturbances of the Heckman Sample Selection Model," Econometrics, MDPI, vol. 2(4), pages 1-18, October.
    6. Julia Moser, 2020. "Teilzeit - ein Karrierekiller?: Eine empirische Analyse," SOEPpapers on Multidisciplinary Panel Data Research 1090, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Melenberg, B. & Van Soest, A., 1993. "Semi-Parametric Estimation on the Sample Selection Model," Papers 9334, Tilburg - Center for Economic Research.
    8. 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.
    9. ÇAGLAYAN, Ebru & UN, Turgut, 2012. "Heteroscedastic Probit Model: An Application Of Home Ownership In Turkey," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(2).
    10. Peeters, H.M.M., 1989. "Het gebruik van een parametrische en een semi-parametrische schattingsmethode voor het binaire keuzemodel: Probit Maximum Likelihood versus Maximum Score [The use of a parametric and a semi-paramet," MPRA Paper 28104, University Library of Munich, Germany.
    11. Romina Gambacorta & Maria Iannario, 2012. "Statistical models for measuring job satisfaction," Temi di discussione (Economic working papers) 852, Bank of Italy, Economic Research and International Relations Area.
    12. Elias Katsikas & Theologos Dergiades, 2012. "Revising higher education policy in Greece: filling the Danaids’ Jar," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(3), pages 279-292, August.
    13. Souha El Khanji, 2022. "Donors’ Interest in Water and Sanitation Subsectors," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 611-654, April.
    14. repec:cty:dpaper:10.1080/07474938.2011.534035 is not listed on IDEAS
    15. 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.
    16. Marc J. Leclere, 1999. "The Interpretation of Coefficients in N†Chotomous Qualitative Response Models," Contemporary Accounting Research, John Wiley & Sons, vol. 16(4), pages 711-747, December.
    17. Tang, Man-Keung & Wei, Shang-Jin, 2009. "The value of making commitments externally: Evidence from WTO accessions," Journal of International Economics, Elsevier, vol. 78(2), pages 216-229, July.
    18. P. Glewwe, 1997. "A test of the normality assumption in ordered probit model," Econometric Reviews, Taylor & Francis Journals, vol. 16(1), pages 1-19.
    19. Seonho Shin, 2021. "Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach," Empirical Economics, Springer, vol. 61(5), pages 2827-2864, November.
    20. David Aristei & Luca Pieroni, 2008. "A double-hurdle approach to modelling tobacco consumption in Italy," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2463-2476.
    21. Lahiri, Kajal & Song, Jae G., 1999. "Testing for normality in a probit model with double selection," Economics Letters, Elsevier, vol. 65(1), pages 33-39, October.

    More about this item

    Keywords

    Ordered Probit; Normality; Lagrange Multiplier;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:pra:mprapa:10080. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.