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Replication data for: Post-Estimation Uncertainty in Limited Dependent Variable Models

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication data for: Post-Estimation Uncertainty in Limited Dependent Variable Models
 
Identifier https://doi.org/10.7910/DVN/DRTT1H
 
Creator Michael C. Herron
 
Publisher Harvard Dataverse
 
Description Many political science research articles that use limited dependent variable models report estimated quantities, in particular, fitted probabilities, predicted probabilities, and functions of such probabilities, without indicating that such estimates are subject to uncertainty. This practice, along with the reporting of "percentage correctly predicted," can overstate the precision of reported results. In light of this, the present article describes a variety of measures of uncertainty that authors can include alongside estimates generated by limited dependent variable models. It also proposes an alternative to "percentage correctly predicted" and illustrates its calculations with congressional cosponsorship data from Krehbiel (1995).
 
Date 1999