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Erschienen in: Social Indicators Research 2/2014

01.04.2014

Labor-Force Participation Rates and the Informational Value of Unemployment Rates in US: Evidence from Regional Data

verfasst von: De-Chih Liu

Erschienen in: Social Indicators Research | Ausgabe 2/2014

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Abstract

Unemployment rate is an important social indicator for unhappiness. This paper explores the informational value of the United States unemployment rate via examining whether the labor-force participation rate is featured with non-stationary processes from the geographical location perspective. We apply the recently developed flexible Fourier stationarity test proposed by Enders and Lee (Oxf Bull Econ Stat 74:574–599 2012). Our main findings are: (1) when we apply conventional tests, such as the Augmented Dickey–Fuller (ADF), ADF-GLS and KPSS univariate tests, we find little evidence for stationarity; and (2) when we employ the flexible Fourier univariate test with consider of structural breaks, we find evidence of stationarity for 45 out of 51 states. Based on our results, we argue that the unemployment rate alone, without understanding participation behavior, does not provide an overall picture for the melancholy jobless people.

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Fußnoten
1
Eisenberg and Lazarsfeld (1938) were the first psychologists to record the unhappiness and emotionally destructive consequences of unemployment. Darity and Goldsmith (1996) offered a summary of the psychological literature on the link between unemployment and reduced well-being.
 
2
The business cycle shock causes the majority of secondary workers move in and out of the labour force which is regarded as “discouraged worker” effect (Long 1953; Benati 2001).
 
3
The ADF and ADF-GLS tests have a unit root under the null whereas the KPSS test has stationarity under the null.
 
4
As pointed out by Nicolau (2002), the participation rate is bounded between zero and one and cannot be a linear unit-root process with an additive error term fulfilling standard assumptions. Following Wallis (1987) we employed a logistic transformation \( (\tilde{p}_{t} = \ln (p_{t} /(1 - p_{t} )) \)and obtained similar results.
 
5
Cebula and Coombs (2008) employed the state-level data and investigated factors that the trends of labor force participation among women. They found that the female labor force participation rate is significantly influenced by greater education, being married with a spouse present, expected earnings, experience and welfare assistance. Moreover, they also found that having relatively young children in the household, the percentage of the female population that is disabled, the percentage of females in households with very high incomes will negatively affect the labor supply decisions of females.
 
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Metadaten
Titel
Labor-Force Participation Rates and the Informational Value of Unemployment Rates in US: Evidence from Regional Data
verfasst von
De-Chih Liu
Publikationsdatum
01.04.2014
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 2/2014
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-013-0286-y

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