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Analyzing proportions

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  • Maarten L. Buis

    (Universität Tübingen, Institut für Soziologie)

Abstract

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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    File URL: http://fmwww.bc.edu/repec/dsug2010/buis.pdf
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    References listed on IDEAS

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    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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    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).
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    7. 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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