AbstractIn 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.
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Bibliographic InfoPaper provided by Stata Users Group in its series German Stata Users' Group Meetings 2010 with number 04.
Date of creation: 13 Jul 2010
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-24 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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 619-32, Nov.-Dec..
- Leslie E. Papke & Jeffrey M. Wooldridge, 1993. "Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates," NBER Technical Working Papers 0147, National Bureau of Economic Research, Inc.
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