The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level Data

We explore the long-run relationship between the unemployment rate and the labor force participation rates for United States over the period of 1976 to 2015. We use U.S. state level data and panel cointegration techniques that are robust to cross sectional heterogeneity, cross-sectional dependency,...

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Main Author: Mercy Laita Palamuleni
Format: Article
Language:English
Published: EconJournals 2017-01-01
Series:International Journal of Economics and Financial Issues
Online Access:http://mail.econjournals.com/index.php/ijefi/article/view/3239
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author Mercy Laita Palamuleni
author_facet Mercy Laita Palamuleni
author_sort Mercy Laita Palamuleni
collection DOAJ
description We explore the long-run relationship between the unemployment rate and the labor force participation rates for United States over the period of 1976 to 2015. We use U.S. state level data and panel cointegration techniques that are robust to cross sectional heterogeneity, cross-sectional dependency, omitted variable bias and endogeniety issues. We find evidence that on average these two variables are cointegrated and are inversely related. Similar to studies that employ U.S. country level data, this study further questions the empirical relevance of the unemployment invariant hypothesis for the case of the United States. Keywords: Unemployment rate; Unemployment invariant hypothesis; panel cointegration JEL Classifications: E24, J60
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spelling doaj.art-b148ad5288b94a4481eaf49ca01f35512023-02-15T16:20:04ZengEconJournalsInternational Journal of Economics and Financial Issues2146-41382017-01-0171The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level DataMercy Laita Palamuleni0McNeese State University We explore the long-run relationship between the unemployment rate and the labor force participation rates for United States over the period of 1976 to 2015. We use U.S. state level data and panel cointegration techniques that are robust to cross sectional heterogeneity, cross-sectional dependency, omitted variable bias and endogeniety issues. We find evidence that on average these two variables are cointegrated and are inversely related. Similar to studies that employ U.S. country level data, this study further questions the empirical relevance of the unemployment invariant hypothesis for the case of the United States. Keywords: Unemployment rate; Unemployment invariant hypothesis; panel cointegration JEL Classifications: E24, J60 http://mail.econjournals.com/index.php/ijefi/article/view/3239
spellingShingle Mercy Laita Palamuleni
The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level Data
International Journal of Economics and Financial Issues
title The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level Data
title_full The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level Data
title_fullStr The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level Data
title_full_unstemmed The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level Data
title_short The Unemployment Invariant Hypothesis: Heterogeneous Panel Cointegration Evidence from U.S. State Level Data
title_sort unemployment invariant hypothesis heterogeneous panel cointegration evidence from u s state level data
url http://mail.econjournals.com/index.php/ijefi/article/view/3239
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