Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Depedent Variables (doi:10.7910/DVN/HUXDGD)

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Part 2: Study Description
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Document Description

Citation

Title:

Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Depedent Variables

Identification Number:

doi:10.7910/DVN/HUXDGD

Distributor:

Harvard Dataverse

Date of Distribution:

2010-02-16

Version:

1

Bibliographic Citation:

Philip Paolino, 2010, "Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Depedent Variables", https://doi.org/10.7910/DVN/HUXDGD, Harvard Dataverse, V1

Study Description

Citation

Title:

Replication data for: Maximum Likelihood Estimation of Models with Beta-Distributed Depedent Variables

Identification Number:

doi:10.7910/DVN/HUXDGD

Authoring Entity:

Philip Paolino (The University of Texas at Austin)

Producer:

Political Analysis

Date of Production:

2001

Distributor:

Harvard Dataverse

Distributor:

Murray Research Archive

Date of Deposit:

2010

Holdings Information:

https://doi.org/10.7910/DVN/HUXDGD

Study Scope

Abstract:

Research in political science is often concerned with modeling dependent variables that are proportions. 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.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

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>

Bibliographic Citation:

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>

Other Study-Related Materials

Label:

paolino_replication.zip

Text:

Replication materials by the author (Zip File 403 kb)

Notes:

application/zip

Other Study-Related Materials

Label:

paolino_web.pdf

Text:

Some associated materials by the author

Notes:

application/pdf

Other Study-Related Materials

Label:

WV008-Paolino.pdf

Text:

Published article

Notes:

application/pdf