Arbeitspapier
Regional and Sectoral Evidence of the Macroeconomic Effects of Labor Reallocation: A Panel Data Analysis
This paper re-examines Lilien's sectoral shifts hypothesis for U.S. unemployment. We employ a monthly panel that spans from 1990:01 to 2011:12 for 48 U.S. states. Panel unit root tests that allow for crosssectional dependence reveal the stationarity of unemployment. Within a framework that takes into account dynamics, parameter heterogeneity and cross-sectional dependence in the panel, we show that sectoral reallocation is significant not only at the aggregate level but also at the state level. The magnitude and the statistical significance of the latter as measured by Lilien's index increases when both heterogeneity and cross-sectional dependence are taken into account.
- Language
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Englisch
- Bibliographic citation
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Series: Quaderni - Working Paper DSE ; No. 902
- Classification
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Wirtschaft
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Business Fluctuations; Cycles
Labor Force and Employment, Size, and Structure
Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics
- Event
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Geistige Schöpfung
- (who)
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Bakas, Dimitrios
Panagiotidis, Theodore
Pelloni, Gianluigi
- Event
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Veröffentlichung
- (who)
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Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
- (where)
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Bologna
- (when)
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2013
- DOI
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doi:10.6092/unibo/amsacta/3832
- Handle
- Last update
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10.03.2025, 11:42 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Bakas, Dimitrios
- Panagiotidis, Theodore
- Pelloni, Gianluigi
- Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
Time of origin
- 2013