Data Revisions of Aggregate Hours Worked: Implications for the Europe-U.S. Hours Gap
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DOI: doi.org/10.20955/r.101.45-56
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Cited by:
- Magnus Reif & Mewael F. Tesfaselassie & Maik H. Wolters, 2021.
"Technological Growth and Hours in the Long Run: Theory and Evidence,"
Economica, London School of Economics and Political Science, vol. 88(352), pages 1016-1053, October.
- Magnus Reif & Mewael F. Tesfaselassie & Maik H. Wolters, 2021. "Technological Growth and Hours in the Long Run: Theory and Evidence," CESifo Working Paper Series 9140, CESifo.
- Reif, Magnus & Tesfaselassie, Mewael F. & Wolters, Maik H., 2021. "Technological growth and hours in the long run: Theory and evidence," IMFS Working Paper Series 162, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
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More about this item
JEL classification:
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
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