The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market
AbstractThis paper presents a forecasting model of unemployment based on labor force ows data that, in real time, dramatically outperforms the Survey of Professional Forecasters, historical forecasts from the Federal Reserve Board's Greenbook, and basic time-series models. Our model's forecast has a root-mean-squared error about 30 percent below that of the next-best forecast in the near term and performs especially well surrounding large recessions and cyclical turning points. Further, because our model uses information on labor force ows that is likely not incorporated by other forecasts, a combined forecast including our model's forecast and the SPF forecast yields an improvement over the latter alone of about 35 percent for current-quarter forecasts, and 15 percent for next-quarter forecasts, as well as improvements at longer horizons.
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Bibliographic InfoArticle provided by Economic Studies Program, The Brookings Institution in its journal Brookings Papers on Economic Activity.
Volume (Year): 45 (2012)
Issue (Month): 2 (Fall) ()
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unemployment; labor force; forecasting;
Other versions of this item:
- Regis Barnichon & Christopher J. Nekarda, 2013. "The ins and outs of forecasting unemployment: Using labor force flows to forecast the labor market," Finance and Economics Discussion Series 2013-19, Board of Governors of the Federal Reserve System (U.S.).
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.:
- Costas Milas & Philip Rothman, 2007.
"Out-of-Sample Forecasting of Unemployment Rates with Pooled STVECM Forecasts,"
Working Paper Series
49-07, The Rimini Centre for Economic Analysis, revised Jul 2007.
- Milas, Costas & Rothman, Philip, 2008. "Out-of-sample forecasting of unemployment rates with pooled STVECM forecasts," International Journal of Forecasting, Elsevier, vol. 24(1), pages 101-121.
- Barnichon, Regis, 2010. "Building a composite Help-Wanted Index," Economics Letters, Elsevier, vol. 109(3), pages 175-178, December.
- Stephanie Aaronson & Bruce Fallick & Andrew Figura & Jonathan Pingle & William Wascher, 2006. "The Recent Decline in the Labor Force Participation Rate and Its Implications for Potential Labor Supply," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 37(1), pages 69-154.
- Laura Brown & Saeed Moshiri, 2004. "Unemployment variation over the business cycles: a comparison of forecasting models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 497-511.
- Bruce Fallick & Jonathan Pingle, 2006. "A cohort-based model of labor force participation," Finance and Economics Discussion Series 2007-09, Board of Governors of the Federal Reserve System (U.S.).
- Charles A. Fleischman & John M. Roberts, 2011. "From many series, one cycle: improved estimates of the business cycle from a multivariate unobserved components model," Finance and Economics Discussion Series 2011-46, Board of Governors of the Federal Reserve System (U.S.).
- Golan, Amos & Perloff, Jeffrey M, 2002.
"Superior forecasts of the U.S. unemployment rate using a nonparametric method,"
CUDARE Working Paper Series
956, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
- Amos Golan & Jeffrey M. Perloff, 2004. "Superior Forecasts of the U.S. Unemployment Rate Using a Nonparametric Method," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 433-438, February.
- Golan, Amos & Perloff, Jeffrey M., 2002. "Superior Forecasts of the U.S. Unemployment Rate Using a Nonparametric Method," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2bw559zk, Department of Agricultural & Resource Economics, UC Berkeley.
- Barnichon, Regis, 2012.
"Vacancy posting, job separation and unemployment fluctuations,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 36(3), pages 315-330.
- Regis Barnichon, 2009. "Vacancy posting, job separation and unemployment fluctuations," Finance and Economics Discussion Series 2009-35, Board of Governors of the Federal Reserve System (U.S.).
- Hyatt, Henry R. & Spletzer, James R., 2013.
"The Recent Decline in Employment Dynamics,"
IZA Discussion Papers
7231, Institute for the Study of Labor (IZA).
- Francesco D'Amuri & Juri Marcucci, 2012. "The predictive power of Google searches in forecasting unemployment," Temi di discussione (Economic working papers) 891, Bank of Italy, Economic Research and International Relations Area.
- Murat Tasci, 2012. "The Ins and Outs of Unemployment in the Long Run: Unemployment Flows and the Natural Rate," KoÃ§ University-TUSIAD Economic Research Forum Working Papers 1233, Koc University-TUSIAD Economic Research Forum.
- Murat Tasci, 2012. "The ins and outs of unemployment in the long run: unemployment flows and the natural rate," Working Paper 1224, Federal Reserve Bank of Cleveland.
- Christopher L. Smith, 2013. "The dynamics of labor market polarization," Finance and Economics Discussion Series 2013-57, Board of Governors of the Federal Reserve System (U.S.).
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