How well does employment predict output?
Economists, policymakers, and financial market analysts typically pay close attention to aggregate employment trends because employment is thought to be an important indicator of macroeconomic conditions. One difficulty is that there are two separate surveys of employment, which can diverge widely from one another, as the previous and current economic expansions demonstrate. The conventional wisdom is that, for assessing economic conditions, the survey that counts the number of jobs (establishment survey) is preferable to the survey that counts the number of people employed (household survey). However, results from a one-quarter-ahead forecasting exercise presented in this paper suggest that analysts should question whether employment is a useful indicator for predicting output growth.
Volume (Year): (2007)
Issue (Month): Sep ()
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- Daniel Aaronson & Ellen R. Rissman & Daniel G. Sullivan, 2004. "Can sectoral reallocation explain the jobless recovery?," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q II, pages 36-39.
- Erica L. Groshen & Simon M. Potter, 2003. "Has structural change contributed to a jobless recovery?," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 9(Aug).
- Todd E. Clark & Michael W. McCracken, 2000.
"Tests of Equal Forecast Accuracy and Encompassing for Nested Models,"
Econometric Society World Congress 2000 Contributed Papers
0319, Econometric Society.
- Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
- Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
- Todd E. Clark & Michael W. McCracken, 1999. "Tests of equal forecast accuracy and encompassing for nested models," Research Working Paper 99-11, Federal Reserve Bank of Kansas City.
- Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
- George A. Kahn, 1993. "Sluggish job growth: is rising productivity or an anemic recovery to blame?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-25.
- Kevin L. Kliesen & Frank A. Schmid, 2004. "Monetary policy actions, macroeconomic data releases, and inflation expectations," Review, Federal Reserve Bank of St. Louis, issue May, pages 9-22.
- Chinhui Juhn & Simon M. Potter, 1999. "Explaining the recent divergence in payroll and household employment growth," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 5(Dec).
- Kathryn Koenders & Richard Rogerson, 2005. "Organizational dynamics over the business cycle: a view on jobless recoveries," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 555-580.
- Kevin L. Kliesen & Frank A. Schmid, 2006. "Macroeconomic news and real interest rates," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 133-144.
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