• Media type: E-Article
  • Title: A Quantile Regression Approach to Examine Changes in County Unemployment Rates in Indiana during the Great Recession
  • Contributor: Srinivasan, Arun K.; Arano, Kathleen G.
  • imprint: Southern Regional Science Association, 2019
  • Published in: Review of Regional Studies
  • Language: English
  • DOI: 10.52324/001c.11094
  • ISSN: 1553-0892; 0048-749X
  • Keywords: Earth-Surface Processes ; Geography, Planning and Development
  • Origination:
  • Footnote:
  • Description: <jats:p>We take a closer look at changes in county unemployment rates in Indiana during the Great Recession and evaluate how local population and the mix of sectoral employment influence these patterns. Using a quantile regression approach, we specifically observe the impacts on counties on both tails of the changes in unemployment distribution. We find the impact of sectoral composition of a county’s workforce depends on its geographical classification. Overall, greater reliance on pro-cyclical industries, most notably manufacturing, magnifies the increases in unemployment during the recession. This effect is further amplified for MSA counties. In contrast, counter-cyclical industries, education in particular, insulates the counties in the top 10th percentile of the distribution of changes in unemployment rates, and a stronger insulation effect is observed for MSA counties. At the bottom 10th percentile, education marginally amplifies changes in unemployment rates for MSA counties, whereas it insulates non-MSA counties from the same distribution.</jats:p>