Journal article
Using Auxiliary Data to Estimate Selection Bias Models, with an Application to Interest Group Use of the Direct Initiative Process
Political analysis, Vol.11(3), pp.234-254
2003
DOI: 10.1093/pan/mpg013
Abstract
Recent work in survey research has made progress in estimating models involving selection bias in a particularly difficult circumstance—all nonrespondents are unit nonresponders, meaning that no data are available for them. These models are reasonably successful in circumstances where the dependent variable of interest is continuous, but they are less practical empirically when it is latent and only discrete outcomes or choices are observed. I develop a method in this article to estimate these models that is much more practical in terms of estimation. The model uses a small amount of auxiliary information to estimate the selection equation parameters, which are then held fixed while estimating the equation of interest parameters in a maximum-likelihood setting. After presenting Monte Carlo analyses to support the model, I apply the technique to a substantive problem: Which interest groups are likely to to be involved in support of potential initiatives to achieve their policy goals?
Details
- Title: Subtitle
- Using Auxiliary Data to Estimate Selection Bias Models, with an Application to Interest Group Use of the Direct Initiative Process
- Creators
- Frederick J Boehmke - Department of Political Science, University of Iowa, 341 Schaeffer Hall, Iowa City, IA 52242. e-mail: frederick-boehmke@uiowa.edu
- Resource Type
- Journal article
- Publication Details
- Political analysis, Vol.11(3), pp.234-254
- Publisher
- Cambridge University Press; New York, US
- DOI
- 10.1093/pan/mpg013
- ISSN
- 1047-1987
- eISSN
- 1476-4989
- Number of pages
- 21
- Language
- English
- Date published
- 2003
- Academic Unit
- Political Science; Public Policy Center (Archive)
- Record Identifier
- 9983982928402771
Metrics
19 Record Views