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ESTIMATING THE NATURAL RATE OF HOURS

Published online by Cambridge University Press:  19 September 2017

Tino Berger  and
Hauke Vierke
Tino Berger*
Affiliation:
Göttingen University
Hauke Vierke
Affiliation:
Ghent University
*
Address correspondence to: Tino Berger, University of Goettingen, Platz der Goettinger Sieben 3, 37036 Goettingen, Germany; e-mail: tino.berger@wiwi.uni.goettingen.de.
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Abstract

This paper proposes an alternative measure for the slack of the aggregate labor market. The natural rate of hours holds valuable information about the state of the labor market that is not reflected by conventional measures, such as the equilibrium rate of unemployment, because it takes the intensive margin into account and is robust to variations in labor force participation. We set up and estimate a multivariate unobserved-components model using information on GDP, inflation, and hours worked, and apply it to the United States and Germany. The estimated hours gap outperforms conventional unemployment gap measures in a Taylor rule by formal model comparison.

Keywords

Natural RateUnobserved-Components ModelTaylor Rule
Type
Articles
Information
Macroeconomic Dynamics , Volume 21 , Issue 6 , September 2017 , pp. 1426 - 1453
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

For helpful comments we thank Freddy Heylen, Gerdie Everaert, Irina Panovska, and participants at the 20th SNDE Annual Symposium, the CMR Lunch Seminar at the University of Cologne, the 7th ifo Workshop on Macroeconomics and the Business Cycle, and the Baltic Sea Colloquium. Hauke Vierke acknowledges financial support from the Friedrich-Ebert-Stiftung and from Ghent University's Special Research Fund (BOF).

References

REFERENCES

Atkeson, A. and Ohanian, L.E. (2001) Are Phillips curves useful for forecasting inflation? Federal Reserve Bank of Minneapolis Quarterly Review 25, 2–11.Google Scholar
Ball, L. and Moffitt, R. (2001) Productivity Growth and the Phillips Curve. Working paper 8421, National Bureau of Economic Research, Inc.Google Scholar
Basistha, A. and Startz, R. (2008) Measuring the NAIRU with reduced uncertainty: A multiple-indicator common-cycle approach. Review of Economics and Statistics 90, 805–811.CrossRefGoogle Scholar
Bauwens, L., Lubrano, M., and Richard, J.-F. (1999) Bayesian Inference in Dynamic Econometric Models. Oxford, UK: Oxford University Press.Google Scholar
Berger, T. (2011) Estimating Europe's natural rates. Empirical Economics 40, 521–536.Google Scholar
Berger, T. and Heylen, F. (2011) Differences in hours worked in the OECD: Institutions or fiscal policies? Journal of Money, Credit and Banking 43, 1333–1369.Google Scholar
Bernanke, B. (2012) Press Conference of the Chairman of the Federal Reserve, January 25, 2012. Available at http://www.federalreserve.gov/mediacenter/files/FOMCpresconf20120125.pdf.Google Scholar
Bullard, J. (2013) President's Message: The Fed's latest balance-sheet policy: What constitutes substantial labor-market improvement. Regional Economist (January), 3.Google Scholar
Carter, C.K. and Kohn, R. (1996) Markov chain Monte Carlo in conditionally Gaussian state space models. Biometrika 83, 589–601.Google Scholar
Chib, S. (1995) Marginal likelihood from the Gibbs output. Journal of the American Statistical Association. 90, 1313–1321.Google Scholar
Cogley, T. and Sbordone, A.M. (2008) Trend inflation, indexation, and inflation persistence in the New Keynesian Phillips curve. American Economic Review. 98, 2101–2126.CrossRefGoogle Scholar
Cooley, T. and Prescott, E. (1995) Economic growth and business cycles. In Cooley, T. (ed.), Frontiers of Business Cycle Research, pp. 1–38. Princeton, NJ: Princeton University Press.Google Scholar
Davig, T.A. and Rio, J. Mustre-del (2013) The shadow labor supply and its implications for the unemployment rate. Economic Reviews QIII, 5–29.Google Scholar
Dhont, T. and Heylen, F. (2008) Why do Europeans work (much) less? It is taxes and government spending. Economic Inquiry 46, 197–207.CrossRefGoogle Scholar
Domenech, R. and Gomez, V. (2006) Estimating potential output, core inflation, and the NAIRU as latent variables. Journal of Business & Economic Statistics 24, 354–365.Google Scholar
Fabiani, S. and Mestre, R. (2004) A system approach for measuring the Euro Area NAIRU. Empirical Economics 29, 311–341.Google Scholar
Fiorito, R. and Kollintzas, T. (1994) Stylized facts of business cycles in the G7 from a real business cycles perspective. European Economic Review. 38, 235–269.Google Scholar
Friedman, M. (1968) The role of monetary policy. American Economic Review 58, 1–17.Google Scholar
Fujita, S. (2014) On the Causes of Declines in the Labor Force Participation Rate. FRB Philadelphia research rap special report.Google Scholar
Goodfriend, M. and King, R.G. (2009) The Great Inflation Drift. Working paper 14862, National Bureau of Economic Research, Inc.Google Scholar
Juhn, C. and Potter, S. (2006) Changes in labor force participation in the United States. Journal of Economic Perspectives 20, 27–46.Google Scholar
Kass, R.E. and Raftery, A.E. (1995) Bayes factors. Journal of the American Statistical Association 90, 773–795.Google Scholar
Kim, C.-J. and Kim, J. (2013) The “Pile-Up Problem” in Trend–Cycle Decomposition of Real GDP: Classical and Bayesian Perspectives. MPRA paper 51118, University Library of Munich, Germany.Google Scholar
Knotek, E.S. (2007) How useful is Okun's Law? Technical report Q IV, Federal Reserve Bank of Kansas City.Google Scholar
Kydland, F.E. and Prescott, E.C. (1990) Business cycles: Real facts and a monetary myth. Federal Reserve Bank of Minneapolis Quarterly Review 14, 3–18.Google Scholar
Lansing, K.J. (2006) Will Moderating Growth Reduce Inflation? FRBSF economic letter.Google Scholar
Lansing, K.J. (2008) Monetary Policy and Asset Prices. FRBSF economic letter.Google Scholar
Laubach, T. (2001) Measuring the NAIRU: Evidence from seven economies. Review of Economics and Statistics 83, 218–231.Google Scholar
Lee, K., Morley, J., and Shields, K. (2015) The meta Taylor rule. Journal of Money, Credit and Banking 47, 73–98.Google Scholar
Mankiw, N.G. (2001) U.S. Monetary Policy during the 1990s. Working paper 8471, National Bureau of Economic Research, Inc.Google Scholar
McGrattan, E.R. and Rogerson, R. (2004) Changes in hours worked, 1950–2000. Federal Reserve Bank of Minneapolis Quarterly Review 28, 14–33.Google Scholar
Morley, J., Piger, J.M., and Rasche, R.H. (2015) Inflation in the G7: Mind the gap(s)? Macroeconomic Dynamics 19, 883–912.CrossRefGoogle Scholar
Nelson, C.R. and Lee, J. (2007) Expectation horizon and the Phillips curve: The solution to an empirical puzzle. Journal of Applied Econometrics 22, 161–178.Google Scholar
Ohanian, L.E. and Raffo, A. (2012) Aggregate hours worked in OECD countries: New measurement and implications for business cycles. Journal of Monetary Economics 59, 40–56.Google Scholar
Orphanides, A. (2003) Historical monetary policy analysis and the Taylor rule. Journal of Monetary Economics 50, 983–1022.Google Scholar
Parsons, D.O. (1980) The decline in male labor force participation. Journal of Political Economy 88, 117–134.Google Scholar
Phelps, E.S. (1968) Money-wage dynamics and labor-market equilibrium. Journal of Political Economy 76, 678–711.Google Scholar
Piger, J.M. and Rasche, R.H. (2008) Inflation: Do expectations trump the gap? International Journal of Central Banking 4, 85–116.Google Scholar
Ravikumar, B. and Shao, L. (2014) Accounting for discouraged workers in the unemployment rate. Economic Synopses 9, 1–2.Google Scholar
Romero, J. (2012) Where have all the workers gone? Why are more people leaving the labor force, and what are they doing? Econ Focus (2Q/3Q), 12–16.Google Scholar
Rudebusch, G.D. (2006) Monetary policy inertia: Fact or fiction? International Journal of Central Banking 2, 85–135.Google Scholar
Rudebusch, G.D. (2009) The Fed's Monetary Policy Response to the Current Crisis. FRBSF economic letter.Google Scholar
Rudebusch, G.D. (2010) The Fed's Exit Strategy for Monetary Policy. FRBSF economic letter.Google Scholar
Schenker, N. and Gentleman, J.F. (2001) On judging the significance of differences by examining the overlap between confidence intervals. American Statistician 55, 182–186.Google Scholar
Shephard, N. (1994) Partial non-Gaussian state space. Biometrika 81, 115–131.CrossRefGoogle Scholar
Taylor, J.B. (1993) Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy 39, 195–214.Google Scholar
Zandweghe, W.V. (2012) Interpreting the recent decline in labor force participation. Economic Review (Q I), 5–34.Google Scholar