Improving Unemployment Rate Forecasts Using Survey Data
This paper investigates whether forecasts of the Swedish unemployment rate can be improved by using business or household survey data. We conduct a simulated out-of-sample forecast exercise in which the performance of a Bayesian VAR model with only macroeconomic variables is compared to that when the model also includes variables based on survey data. Results show that the forecasting performance at short horizons can be improved. The improvement is largest when forward-looking variables based on data from the manufacturing industry are employed.
Volume (Year): 23 (2010)
Issue (Month): 1 (Spring)
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- 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.
- Armstrong, J. Scott, 2007. "Significance tests harm progress in forecasting," International Journal of Forecasting, Elsevier, vol. 23(2), pages 321-327.
- Antonio Ribba, 2006. "The joint dynamics of inflation, unemployment and interest rate in the United States since 1980," Empirical Economics, Springer, vol. 31(2), pages 497-511, June.
- Malin Adolfson & Michael K. Andersson & Jesper Lindé & Mattias Villani & Anders Vredin, 2007.
"Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks,"
International Journal of Central Banking,
International Journal of Central Banking, vol. 3(4), pages 111-144, December.
- Adolfson, Malin & Andersson, Michael K. & Lindé, Jesper & Villani, Mattias & Vredin, Anders, 2005. "Modern Forecasting Models in Action: Improving Macroeconomic Analyses at Central Banks," Working Paper Series 188, Sveriges Riksbank (Central Bank of Sweden), revised 01 Jun 2006.
- Ashley, R & Granger, C W J & Schmalensee, R, 1980. "Advertising and Aggregate Consumption: An Analysis of Causality," Econometrica, Econometric Society, vol. 48(5), pages 1149-67, July.
- Philip Rothman, .
"Forecasting Asymmetric Unemployment Rates,"
9618, East Carolina University, Department of Economics.
- John A. Cotsomitis & Andy C. C. Kwan, 2006.
"Can Consumer Confidence Forecast Household Spending? Evidence from the European COmmission Business and Consumer Surveys,"
Southern Economic Journal,
Southern Economic Association, vol. 72(3), pages 597-610, January.
- John A. Cotsomitis & Andy C. C. Kwan, 2004. "Can Consumer Confidence Forecast Household Spending? Evidence from the European Commission Business and Consumer Surveys," Departmental Working Papers _161, Chinese University of Hong Kong, Department of Economics.
- Magnus Gustavsson & Pär Österholm, 2010. "The presence of unemployment hysteresis in the OECD: what can we learn from out-of-sample forecasts?," Empirical Economics, Springer, vol. 38(3), pages 779-792, June.
- Pär Österholm, 2008. "Can forecasting performance be improved by considering the steady state? An application to Swedish inflation and interest rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 41-51.
- Berger, Helge & Österholm, Pär, 2009.
"Does money still matter for U.S. output?,"
Elsevier, vol. 102(3), pages 143-146, March.
- 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.
- 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.
- Jared Laxton & Igor Ermolaev & Charles Freedman & Ondra Kamenik & Michel Juillard & Douglas Laxton & Ioan Carabenciov & Dmitry Korshunov, 2008. "A Small Quarterly Multi-Country Projection Model," IMF Working Papers 08/279, International Monetary Fund.
- Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
- Norman R. Swanson, 2000. "An Out of Sample Test for Granger Causality," Econometric Society World Congress 2000 Contributed Papers 0362, Econometric Society.
- Andy C.C. Kwan & John A. Cotsomitis, 2006. "The Usefulness of Consumer Confidence in Forecasting Household Spending in Canada: A National and Regional Analysis," Economic Inquiry, Western Economic Association International, vol. 44(1), pages 185-197, January.
- Galina Hale & Òscar Jordà, 2007. "Do monetary aggregates help forecast inflation?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue apr13.
- Sydney C. Ludvigson, 2004. "Consumer Confidence and Consumer Spending," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 29-50, Spring.
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