Superior Forecasts of the U.S. Unemployment Rate Using a Nonparametric Method
Download full text from publisher
Other versions of this item:
- 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," CUDARE Working Papers 25060, University of California, Berkeley, Department of Agricultural and Resource Economics.
References listed on IDEAS
- Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon & Andrada-Felix, Julian, 1999.
"Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS,"
International Journal of Forecasting,
Elsevier, vol. 15(4), pages 383-392, October.
- Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada, "undated". "Exchange-rate forecasts with simultaneous nearest-neighbour methods: Evidence from the EMS," Working Papers 98-17, FEDEA.
- Christopher A. Sims, 1993.
"A Nine-Variable Probabilistic Macroeconomic Forecasting Model,"
NBER Chapters,in: Business Cycles, Indicators and Forecasting, pages 179-212
National Bureau of Economic Research, Inc.
- Christopher A. Sims, 1989. "A nine variable probabilistic macroeconomic forecasting model," Discussion Paper / Institute for Empirical Macroeconomics 14, Federal Reserve Bank of Minneapolis.
- Christopher A. Sims, 1992. "A Nine Variable Probabilistic Macroeconomic Forecasting Model," Cowles Foundation Discussion Papers 1034, Cowles Foundation for Research in Economics, Yale University.
- Alan A. Carruth & Mark A. Hooker & Andrew J. Oswald, 1998.
"Unemployment Equilibria And Input Prices: Theory And Evidence From The United States,"
The Review of Economics and Statistics,
MIT Press, vol. 80(4), pages 621-628, November.
- Carruth,a. & Hooker, N. & Oswald,A., 1997. "Unemployment Equilibria and Input Prices: Theory and Evidence from the United States," Papers 22, Centre for Economic Performance & Institute of Economics.
- Carruth, A.A. & Hooker, M.A. & Oswald, A.J., 1998. "Unemployment Equilibria and Input Prices: Theory and Evidence from the United States," The Warwick Economics Research Paper Series (TWERPS) 496, University of Warwick, Department of Economics.
- Carruth, Alan A. & Hooker, Mark A. & Oswald, Andrew J., 1998. "Unemployment Equilibria and Input Prices: Theory and Evidence from the United States," Economic Research Papers 268778, University of Warwick - Department of Economics.
- Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon, 1998. "Testing nonlinear forecastability in time series: Theory and evidence from the EMS," Economics Letters, Elsevier, vol. 59(1), pages 49-63, April.
- Mulhern, Francis J. & Caprara, Robert J., 1994. "A nearest neighbor model for forecasting market response," International Journal of Forecasting, Elsevier, vol. 10(2), pages 191-207, September.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
- Agnon, Yehuda & Golan, Amos & Shearer, Matthew, 1999. "Nonparametric, nonlinear, short-term forecasting: theory and evidence for nonlinearities in the commodity markets," Economics Letters, Elsevier, vol. 65(3), pages 293-299, December.
- Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
- Ramsey James B., 1996. "If Nonlinear Models Cannot Forecast, What Use Are They?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(2), pages 1-24, July.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Christian Hutter & Enzo Weber, 2015.
"Constructing a new leading indicator for unemployment from a survey among German employment agencies,"
Taylor & Francis Journals, vol. 47(33), pages 3540-3558, July.
- Hutter, Christian & Weber, Enzo, 2013. "Constructing a new leading indicator for unemployment from a survey among German employment agencies," IAB Discussion Paper 201317, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- 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.
- D'Amuri, Francesco & Marcucci, Juri, 2009.
"'Google it!' Forecasting the US unemployment rate with a Google job search index,"
ISER Working Paper Series
2009-32, Institute for Social and Economic Research.
- Francesco D’Amuri & Juri Marcucci, 2010. "“Google it!”Forecasting the US Unemployment Rate with a Google Job Search index," Working Papers 2010.31, Fondazione Eni Enrico Mattei.
- D'Amuri, Francesco/FD & Marcucci, Juri/JM, 2009. ""Google it!" Forecasting the US unemployment rate with a Google job search index," MPRA Paper 18248, University Library of Munich, Germany.
- Theodore Panagiotidis, 2010.
"An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application,"
Springer;Society for Computational Economics, vol. 36(2), pages 121-132, August.
- Theodore Panagiotidis, 2010. "An out-of-sample test for nonlinearity in financial time series: An empirical application," Discussion Paper Series 2010_08, Department of Economics, University of Macedonia, revised Jun 2010.
- Theodore Panagiotidis, 2010. "An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application," Working Paper series 20_10, Rimini Centre for Economic Analysis.
- Regis Barnichon & Christopher J. Nekarda, 2012.
"The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market,"
Brookings Papers on Economic Activity,
Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 83-131.
- 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.).
- 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, 2010.
"Improving Unemployment Rate Forecasts Using Survey Data,"
Finnish Economic Papers,
Finnish Economic Association, vol. 23(1), pages 16-26, Spring.
- Österholm, Pär, 2009. "Improving Unemployment Rate Forecasts Using Survey Data," Working Papers 112, National Institute of Economic Research.
- Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 183-197, February.
- Barnichon, Regis & Garda, Paula, 2016.
"Forecasting unemployment across countries: The ins and outs,"
European Economic Review,
Elsevier, vol. 84(C), pages 165-183.
- Barnichon, Régis & Garda, Paula, 2015. "Forecasting Unemployment across Countries: the Ins and Outs," CEPR Discussion Papers 10910, C.E.P.R. Discussion Papers.
- Ullrich Heilemann & Herman Stekler, 2010. "Perspectives on Evaluating Macroeconomic Forecasts," Working Papers 2010-002, The George Washington University, Department of Economics, Research Program on Forecasting.
More about this item
Keywordsembedding dimension; nonlinearity; nonparametric; unemployment rate;
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:agrebk:qt2bw559zk. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff). General contact details of provider: http://edirc.repec.org/data/dabrkus.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.