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Proportions are relevant in a wide variety of substantive areas, including elections, the bureaucracy, and interest groups. Yet because most researchers rely upon an approach, OLS, that does not recognize key aspects of proportions, the conclusions we reach from normal models may not provide the best understanding of phenomena of interest in these areas. In this paper, I use Monte Carlo simulations to show that maximum likelihood estimation of these data using the beta distribution may provide more accurate and more precise results. I then present empirical analyses illustrating some of these differences."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2001"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Philip Paolino . 2001. \"Maximum Likelihood Estimation of Models with Beta-Distributed Depedent Variables.\"  Political Analysis, 9(4), 325 - 346. <a href= \"http://polmeth.wustl.edu/polanalysis/vol/9/WV008-Paolino.pdf\" target= \"_new\">article available here</a>"}}]},{"typeName":"producer","multiple":true,"typeClass":"compound","value":[{"producerName":{"typeName":"producerName","multiple":false,"typeClass":"primitive","value":"Political Analysis"},"producerURL":{"typeName":"producerURL","multiple":false,"typeClass":"primitive","value":"http://pan.oxfordjournals.org/"}}]},{"typeName":"productionDate","multiple":false,"typeClass":"primitive","value":"2001"},{"typeName":"distributor","multiple":true,"typeClass":"compound","value":[{"distributorName":{"typeName":"distributorName","multiple":false,"typeClass":"primitive","value":"Murray Research Archive"},"distributorURL":{"typeName":"distributorURL","multiple":false,"typeClass":"primitive","value":"http://www.murray.harvard.edu"},"distributorLogoURL":{"typeName":"distributorLogoURL","multiple":false,"typeClass":"primitive","value":"http://murray.harvard.edu/files/murray/banner146x48.png"}}]},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2010"}]}},"files":[{"description":"Replication materials by the author (Zip File 403 kb)","label":"paolino_replication.zip","restricted":false,"version":1,"datasetVersionId":44022,"categories":["2. 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