The Resource Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women, John C. Ham, Xianghong Li, Lara Shore-Sheppard, (electronic resource)

Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women, John C. Ham, Xianghong Li, Lara Shore-Sheppard, (electronic resource)

Label
Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women
Title
Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women
Statement of responsibility
John C. Ham, Xianghong Li, Lara Shore-Sheppard
Creator
Contributor
Subject
Language
eng
Summary
Panel surveys generally suffer from "seam bias"--too few transitions observed within reference periods and too many reported between interviews. Seam bias is likely to affect duration models severely since both the start date and the end date of a spell may be misreported. In this paper we examine the employment dynamics of disadvantaged single mothers in the Survey of Income and Program Participation (SIPP) while correcting for seam bias in reported employment status. We develop parametric misreporting models for use in multi-state, multi-spell duration analysis; the models are identified if misreporting parameters are the same for fresh and left-censored spells of the same type. We extend these models to allow misreporting to depend on individual characteristics and for a certain fraction of the sample never to misreport. These extensions are informative about misreporting, but do not affect estimates of the hazard functions. We compare our results to two approaches used previously: i) using only data on the last month of reference periods and ii) adding a dummy variable for the last month of the reference periods. We find that there are important differences between our estimates and those obtained from ii), and very important differences between our estimates and those obtained from i). Finally, we also consider three alternative models of misreporting and are able to reject them based on aggregates of our micro data
Member of
http://library.link/vocab/creatorName
Ham, John C
Index
no index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Li, Xianghong
  • Shore-Sheppard, Lara
  • National Bureau of Economic Research
Series statement
NBER working paper series
Series volume
no. w15151
Target audience
specialized
Label
Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women, John C. Ham, Xianghong Li, Lara Shore-Sheppard, (electronic resource)
Instantiates
Publication
Note
July 2009
Control code
ssj0000977624
Dimensions
unknown
Form of item
online
Governing access note
Access restricted to subscribing institutions
Specific material designation
remote
System control number
(WaSeSS)ssj0000977624
System details
  • System requirements: Adobe [Acrobat] Reader required for PDF files
  • Mode of access: World Wide Web
Label
Seam Bias, Multiple-State, Multiple-Spell Duration Models and the Employment Dynamics of Disadvantaged Women, John C. Ham, Xianghong Li, Lara Shore-Sheppard, (electronic resource)
Publication
Note
July 2009
Control code
ssj0000977624
Dimensions
unknown
Form of item
online
Governing access note
Access restricted to subscribing institutions
Specific material designation
remote
System control number
(WaSeSS)ssj0000977624
System details
  • System requirements: Adobe [Acrobat] Reader required for PDF files
  • Mode of access: World Wide Web

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