IPUMS.org Home Page

BIBLIOGRAPHY

Publications, working papers, and other research using data resources from IPUMS.

Full Citation

Title: The Spatial Clustering of Occupations

Citation Type: Dissertation/Thesis

Publication Year: 2014

Abstract: Workers in similar occupations cluster, much like firms in similar industries. This may be due to firm clustering, but I propose a supply-side mechanism that may also provide an explanation. When workers face a risk of separation from a particular job, they will consider the other jobs available in a particular area in their location decision. Based on this theory I make three predictions. Workers will tend to cluster in areas where their skills are in high demand. They will be paid less in these areas, ceteris paribus. And demand shocks will affect workers' wages less, and employment more, in areas where their skills are in high demand. I test this mechanism using data from the decennial U.S. Census. I use O*NET data on occupational tasks to construct a measure of occupational distance. I then estimate labor supply curves to determine to test the predictions of the theory. I do not find substantial evidence for this mechanism.

Url: https://dspace.mit.edu/bitstream/handle/1721.1/90134/890150673-MIT.pdf?sequence=2&isAllowed=y

User Submitted?: No

Authors: Swift, Henry, S

Institution: Swarthmore College

Department: Economics

Advisor:

Degree: Master of Science in Economics

Publisher Location:

Pages:

Data Collections: IPUMS USA

Topics: Labor Force and Occupational Structure

Countries: United States

IPUMS NHGIS NAPP IHIS ATUS Terrapop