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Asymmetry and Lilien’s Sectoral Shifts Hypothesis: A Quantile Regression Approach

Theodore Panagiotidis and Gianluigi Pelloni ()

Review of Economic Analysis, 2014, vol. 6, issue 1, 68-86

Abstract: This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression estimation in order to investigate the asymmetric nature of the relationship between sectoral employment and unemployment. Significant asymmetries emerge. Lilien’s dispersion index is significant only for relatively high levels of unemployment and becomes insignificant for lower levels suggesting that reallocation affects unemployment only when the latter is relative high. More job reallocation is associated with higher unemployment

Keywords: Unemployment; Employment Reallocation; Sectoral Shifts; Aggregate Shocks; Conditional Quantile Regression Model; Bootstrapping (search for similar items in EconPapers)
JEL-codes: C22 C50 E24 (search for similar items in EconPapers)
Date: 2014
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Handle: RePEc:ren:journl:v:6:y:2014:i:1:p:68-86