Recalculating...: How Uncertainty in Local Labor Market Definitions Affects Empirical Findings
Andrew Foote,
Mark Kutzbach and
Lars Vilhuber
Working Papers from U.S. Census Bureau, Center for Economic Studies
Abstract:
This paper evaluates the use of commuting zones as a local labor market definition. We revisit Tolbert and Sizer (1996) and demonstrate the sensitivity of definitions to two features of the methodology: a cluster dissimilarity cutoff, or the count of clusters, and uncertainty in the input data. We show how these features impact empirical estimates using a standard application of commuting zones and an example from related literature. We conclude with advice to researchers on how to demonstrate the robustness of empirical findings to uncertainty in the definition of commuting zones
Keywords: Local labor markets; commuting; measurement error; Sensitivity analysis (search for similar items in EconPapers)
JEL-codes: C13 C63 J21 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2017-01
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
https://www2.census.gov/ces/wp/2017/CES-WP-17-49R.pdf Revised version, 2021 (application/pdf)
https://www2.census.gov/ces/wp/2017/CES-WP-17-49.pdf First version, 2017 (application/pdf)
Related works:
Journal Article: Recalculating...: How Uncertainty in Local Labour Market Definitions Affects Empirical Findings (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:17-49
Access Statistics for this paper
More papers in Working Papers from U.S. Census Bureau, Center for Economic Studies Contact information at EDIRC.
Bibliographic data for series maintained by Dawn Anderson (dawn.m.anderson@census.gov).