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Association: Name: The Midwest Political Science Association URL: http://www.indiana.edu/~mpsa/
Citation: URL: http://www.allacademic.com/meta/p84254_index.html Direct Link: HTML Code:

Brandt, Patrick. and Schneider, Christina. "What's the Size? Does it have any power? Questions about Hypothesis Tests in Selection Models power? Questions about hypothesis tests in selection models" Paper presented at the annual meeting of the The Midwest Political Science Association, Palmer House Hilton, Chicago, Illinois, Apr 15, 2004 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p84254_index.html>

Brandt, P. T. and Schneider, C. J. , 2004-04-15 "What's the Size? Does it have any power? Questions about Hypothesis Tests in Selection Models power? Questions about hypothesis tests in selection models" Paper presented at the annual meeting of the The Midwest Political Science Association, Palmer House Hilton, Chicago, Illinois Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p84254_index.html

Publication Type: Conference Paper/Unpublished Manuscript Review Method: Peer Reviewed Abstract: What are the properties of hypothesis tests in selection models? This question is typically unaddressed in the application of selection models for discrete choice data, but it has serious implications for inference in the analysis of censored data. In this paper we focus on a discussion of the widely used bivariate probit selection model. The properties of testing for selection effects are analyzed using a Monte Carlo experiment. The results indicate that the tests are highly sensitive to model specification assumptions about identification and exogeneity of the regressors and that tests for selection have very low power in specific cases. The tests generally have incorrect size and very low power, even in what would be considered large samples. Two examples, using a new data set on EU entry decisions (Schneider 2003), and a replication of Reed (2000) are used to demonstrate the results. Finally we offer suggestions on robust methods for testing selection effects in discrete choice models, such as Bayesian methods and bootstraps.

Specification Tests for Structural Equation Models using a 2SLS Estimator

Underestimating Selection Bias in Political Science: The Unforeseen Consequences of Algorithmic Errors in the Estimation of Heckman Selection Models

Sample Sizes and Effect Sizes are Negatively Correlated in Meta-Analyses: Evidence and Implications of a Publication Bias Against Nonsignificant Findings