Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Replication data for: Post-Estimation Uncertainty in Limited Dependent Variable Models      
dateReleased:
02-16-2010
downloadURL: http://hdl.handle.net/1902.1/11199
ID:
hdl:1902.1/11199
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).
description:
Michael C. Herron, 2010, "Replication data for: Post-Estimation Uncertainty in Limited Dependent Variable Models", http://hdl.handle.net/1902.1/11199, Harvard Dataverse, V1
name:
Michael C. Herron
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997