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Analyzing proportions


  • Maarten L. Buis

    () (Universität Tübingen, Institut für Soziologie)


In this talk, I will discuss some techniques available in Stata for analyzing dependent variables that are proportions. I will discuss four programs: betafit, glm, dirifit, and fmlogit. The first two deal with situations where we want to explain only one proportion, while the latter two deal with situations where we have for each observation multiple proportions that must add up to one. I will focus on how to interpret the results of these models and on the relative strengths and weaknesses of these models.

Suggested Citation

  • Maarten L. Buis, 2010. "Analyzing proportions," German Stata Users' Group Meetings 2010 04, Stata Users Group.
  • Handle: RePEc:boc:dsug10:04

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    References listed on IDEAS

    1. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
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    3. Annalisa Ferrando & Carsten Preuss, 2018. "What finance for what investment? Survey-based evidence for European companies," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 1015-1053, December.
    4. Ferrando, Annalisa & Preuss, Carsten, 2018. "What finance for what investment? Survey-based evidence for European companies," EIB Working Papers 2018/01, European Investment Bank (EIB).
    5. Theresa Mannah-Blankson, 2018. "Gender Inequality and Access to Microfinance: Evidence from Ghana," Journal of African Development, African Finance and Economic Association (AFEA), vol. 20(2), pages 21-33.
    6. Fernando Furquim & Kristen M. Glasener, 2017. "A Quest for Equity? Measuring the Effect of QuestBridge on Economic Diversity at Selective Institutions," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(6), pages 646-671, September.

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