The cost of fiscal policy uncertainty: industry evidence of its impact on the labor market
The anemic pace of the recovery of the U.S. economy from the Great Recession has frequently been blamed on heightened uncertainty, much of which concerns the nation's fiscal policy. Intuition suggests that increased policy uncertainty likely has different impacts on industries with different exposure to government actions. Such heterogeneity can help identify the effect of shocks due to policy uncertainty. This study uses industry data to explore whether policy uncertainty indeed affects the dynamics of employment during this recovery, and particularly whether it has a differential impact on employment across industries. This analysis focuses on heterogeneity across industries in terms of the fraction of their product demand that can ultimately be attributed to federal government expenditures. The estimation results reveal that policy uncertainty indeed retards employment growth more in industries that rely more heavily on federal government demand: the growth rate in the number of production employees in these industries appears to have been four-tenths of a percentage point lower during the quarters in recent years when policy uncertainty spiked. A similar impact is found for the growth of total employment, which also includes nonproduction employees. In addition, the evidence suggests that increased policy uncertainty renders firms more reluctant to adjust the number of employees in response to changes in output, a contributing factor to the sluggish recovery in employment. Moreover, this damping effect is stronger for industries with higher shares of output sold directly and indirectly to the federal government. By comparison, the adverse effect of heightened policy uncertainty on average weekly hours differs little across industries.
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Nicholas Bloom, 2014.
"Fluctuations in Uncertainty,"
13-033, Stanford Institute for Economic Policy Research.
- Nicholas Bloom, 2013. "Fluctuations in Uncertainty," NBER Working Papers 19714, National Bureau of Economic Research, Inc.
- Nicholas Bloom, 2013. "Fluctuations in uncertainty," LSE Research Online Documents on Economics 57976, London School of Economics and Political Science, LSE Library.
- Nicholas Bloom, 2014. "Fluctuations In Uncertainty," Working Papers 14-17, Center for Economic Studies, U.S. Census Bureau.
- Nicholas Bloom, 2013. "Fluctuations in Uncertainty," CEP Occasional Papers 038, Centre for Economic Performance, LSE.
- Susanto Basu & Brent Bundick, 2011.
"Uncertainty Shocks in a Model of Effective Demand,"
Boston College Working Papers in Economics
774, Boston College Department of Economics, revised 01 Nov 2015.
- Susanto Basu & Brent Bundick, 2012. "Uncertainty shocks in a model of effective demand," Working Papers 12-15, Federal Reserve Bank of Boston.
- Susanto Basu & Brent Bundick, 2012. "Uncertainty Shocks in a Model of Effective Demand," NBER Working Papers 18420, National Bureau of Economic Research, Inc.
- Bundick, Brent & Basu, Susanto, 2014. "Uncertainty shocks in a model of effective demand," Research Working Paper RWP 14-15, Federal Reserve Bank of Kansas City, revised 01 Nov 2015.
- Jeffrey M. Wooldridge, 2005.
"Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
- Jeffrey M Wooldridge, 2002. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," CeMMAP working papers CWP18/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pesaran, M.H., 2003.
"A Simple Panel Unit Root Test in the Presence of Cross Section Dependence,"
Cambridge Working Papers in Economics
0346, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
- Pesaran, M. Hashem & Smith, Ron, 1995.
"Estimating long-run relationships from dynamic heterogeneous panels,"
Journal of Econometrics,
Elsevier, vol. 68(1), pages 79-113, July.
- Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
- Daniel J. Vine & Valerie A. Ramey, 2006.
"Declining Volatility in the U.S. Automobile Industry,"
American Economic Review,
American Economic Association, vol. 96(5), pages 1876-1889, December.
- Valerie A. Ramey & Daniel J. Vine, 2005. "Declining Volatility in the U.S. Automobile Industry," NBER Working Papers 11596, National Bureau of Economic Research, Inc.
- Daniel S. Hamermesh & Gerard A. Pfann, 1996.
"Adjustment Costs in Factor Demand,"
Journal of Economic Literature,
American Economic Association, vol. 34(3), pages 1264-1292, September.
- M. Hashem Pesaran, 2006.
"Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure,"
Econometric Society, vol. 74(4), pages 967-1012, 07.
- M. Hashem Pesaran, 2004. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," CESifo Working Paper Series 1331, CESifo Group Munich.
- Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
- Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
- Steve J. Davis & John Haltiwanger, 1991.
"Gross Job Creation, Gross Job Destruction and Employment Reallocation,"
NBER Working Papers
3728, National Bureau of Economic Research, Inc.
- Steven J. Davis & John Haltiwanger, 1992. "Gross Job Creation, Gross Job Destruction, and Employment Reallocation," The Quarterly Journal of Economics, Oxford University Press, vol. 107(3), pages 819-863.
- Steve J. Davis & John Haltiwanger, 1991. "Gross job creation, gross job destruction and employment reallocation," Working Paper Series, Macroeconomic Issues 91-5, Federal Reserve Bank of Chicago.
- Manuel Arellano & Stephen Bond, 1991.
"Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations,"
Review of Economic Studies,
Oxford University Press, vol. 58(2), pages 277-297.
- Tom Doan, "undated". "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
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