IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v5y2005i3p385-394.html
   My bibliography  Save this article

A simple approach to fit the beta-binomial model

Author

Listed:
  • Paulo Guimarães

    (Medical University of South Carolina)

Abstract

In this paper, I show how to estimate the parameters of the beta- binomial distribution and its multivariate generalization, the Dirichlet-multinomial distribution. This approach involves no additional programming, as it relies on an existing Stata command used for overdispersed count panel data. Including covariates to allow for regression models based in these distributions is straightforward. Copyright 2005 by StataCorp LP.

Suggested Citation

  • Paulo Guimarães, 2005. "A simple approach to fit the beta-binomial model," Stata Journal, StataCorp LP, vol. 5(3), pages 385-394, September.
    • Handle: RePEc:tsj:stataj:v:5:y:2005:i:3:p:385-394
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0089
    Download Restriction: no
    File URL: http://www.stata-journal.com/software/sj5-3/st0089/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Paulo Guimaraes, 2004. "Understanding the multinomial-Poisson transformation," Stata Journal, StataCorp LP, vol. 4(3), pages 265-273, September.
    2. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
    3. Heckman, James J & Willis, Robert J, 1977. "A Beta-logistic Model for the Analysis of Sequential Labor Force Participation by Married Women," Journal of Political Economy, University of Chicago Press, vol. 85(1), pages 27-58, 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. Erda Wang & Jianhua Wei & Jiawei Zhu, 2017. "The effects of improving coastal park attributes on the recreation demand—A case study in Dalian China," Tourism Economics, , vol. 23(1), pages 133-149, February.
    2. Schaffner, Florian, 2016. "Information transmission in high dimensional choice problems: The value of online ratings in the restaurant market," VfS Annual Conference 2016 (Augsburg): Demographic Change 145585, Verein für Socialpolitik / German Economic 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. Fève, Frédérique & Fève, Patrick & Florens, Jean-Pierre, 2002. "Attribute Choices and Structural Econometrics of Price Elasticity of Demand," IDEI Working Papers 155, Institut d'Économie Industrielle (IDEI), Toulouse, revised 2003.
    2. Troske, Kenneth R. & Voicu, Alexandru, 2010. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Labour Economics, Elsevier, vol. 17(1), pages 150-169, January.
    3. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    4. Martina Rebien & Michael Stops & Anna Zaharieva, 2020. "Formal Search And Referrals From A Firm'S Perspective," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1679-1748, November.
    5. Luis Otávio Façanha & Marcelo Resende, 2006. "Hierarchical Structure in Brazilian Industrial Firms: an Econometric Study," Economics Working Papers ECO2006/1, European University Institute.
    6. Riddel, Mary C. & Shaw, W. Douglass, 2006. "A Theoretically-Consistent Empirical Non-Expected Utility Model of Ambiguity: Nuclear Waste Mortality Risk and Yucca Mountain," Pre-Prints 23964, Texas A&M University, Department of Agricultural Economics.
    7. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    8. Harald Oberhofer & Michael Pfaffermayr, 2014. "Two-Part Models for Fractional Responses Defined as Ratios of Integers," Econometrics, MDPI, vol. 2(3), pages 1-22, September.
    9. Pierre-Carl Michaud & Konstantinos Tatsiramos, 2005. "Employment Dynamics of Married Women in Europe," Working Papers WR-273, RAND Corporation.
    10. Roland Rathelot, 2012. "Measuring Segregation When Units are Small: A Parametric Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 546-553, June.
    11. Pierre‐Carl Michaud & Konstantinos Tatsiramos, 2011. "Fertility and female employment dynamics in Europe: the effect of using alternative econometric modeling assumptions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 641-668, June.
    12. 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.
    13. Xiaohong Chen & James J. Heckman & Edward Vytlacil, 2000. "Identification and SQRT N Efficient Estimation of Semiparametric Panel Data Models with Binary Dependent Variables and a Latent Factor," Econometric Society World Congress 2000 Contributed Papers 1567, Econometric Society.
    14. Álvaro A. Gutiérrez Vargas & Michel Meulders & Martina Vandebroek, 2020. "randregret: A command for fitting Random Regret Minimization Models," London Stata Conference 2020 13, Stata Users Group.
    15. Oomes, Nienke, 2003. "Local trade networks and spatially persistent unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2115-2149, September.
    16. Niquidet, Kurt & Nelson, Harry, 2010. "Sawmill production in the interior of British Columbia: A stochastic ray frontier approach," Journal of Forest Economics, Elsevier, vol. 16(4), pages 257-267, December.
    17. Sarkar, Sudipa & Sahoo, Soham & Klasen, Stephan, 2019. "Employment transitions of women in India: A panel analysis," World Development, Elsevier, vol. 115(C), pages 291-309.
    18. James P. Smith & Michael P. Ward, 2004. "The Acceleration in Women's Wages," Labor and Demography 0403024, University Library of Munich, Germany.
    19. Sile Padraigin O'Dorchai, 2008. "Do women gain or lose from becoming mothers? A comparative wage analysis in 20 European countries," ULB Institutional Repository 2013/135835, ULB -- Universite Libre de Bruxelles.
    20. Daniel Kaufmann, 2010. "The Timing of Price Changes and the Role of Heterogeneity," Working Papers 2010-02, Swiss National Bank.

    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:tsj:stataj:v:5:y:2005:i:3:p:385-394. 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: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    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.