This paper utilizes validation data on survey response error in the Current Population Survey to generalize the standard multinomial logit model to allow for spurious events that result from classification error. The authors' basic approach could be used with other stochastic models of discrete events as well. They illustrate their algorithm by studying the effect of unemployment insurance on transitions from unemployment to employment and on labor-force withdrawal. Their results confirm earlier work suggesting that unemployment insurance lengthens unemployment spells and show that correcting for classification error strengthens the apparent effect of unemployment insurance on spell durations. Copyright 1995 by MIT Press.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
file. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).
Related research
Keywords:
Other versions of this item:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Did you know? You can create a compilation of all publications of a group of people, say alumni of a program, your students or memers of an association.