Superior Forecasts of the U.S. Unemployment Rate Using a Nonparametric Method
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- 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 Papers 25060, University of California, Berkeley, Department of Agricultural and Resource Economics.
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Citations
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- Mihaela Simionescu & Mirel Daniel Simionescu, 2017. "The Connection between Foreign Direct Investment and Unemployment Rate in the United States," Working papers Globalization - Economic, Social and Moral Implications, April 2017 18, Research Association for Interdisciplinary Studies.
- Christian Hutter & Enzo Weber, 2015.
"Constructing a new leading indicator for unemployment from a survey among German employment agencies,"
Applied Economics, 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].
- M. E. Baskakova & V. N. Baskakov & E. A. Yanenko, 2022. "Medium-Term Forecast of Government Spending on the Unemployment Social Protection System in Russia in the Conditions of Economic Recession," Studies on Russian Economic Development, Springer, vol. 33(1), pages 45-54, February.
- 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.
- Theodore Panagiotidis, 2010.
"An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application,"
Computational Economics, 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.
- D'Amuri, Francesco & Marcucci, Juri, 2009.
"‘Google it!’ Forecasting the US unemployment rate with a Google job search index,"
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2009-32, Institute for Social and Economic Research.
- 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.
- 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.
- Barnichon, Regis & Garda, Paula, 2016.
"Forecasting unemployment across countries: The ins and outs,"
European Economic Review, Elsevier, vol. 84(C), pages 165-183.
- Barnichon, Regis & 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, H. O. Stekler Research Program on Forecasting.
- Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020. "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, vol. 219(2), pages 281-313.
- 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.
- Olmedo, Elena, 2011. "Is there chaos in the Spanish labour market?," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1045-1053.
- D’Amuri, Francesco & Marcucci, Juri, 2017.
"The predictive power of Google searches in forecasting US unemployment,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 801-816.
- 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.
- 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.
- Pablo Guerróon‐Quintana & Molin Zhong, 2023.
"Macroeconomic forecasting in times of crises,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
- Pablo Guerrón-Quintana & Molin Zhong, 2017. "Macroeconomic Forecasting in Times of Crises," Finance and Economics Discussion Series 2017-018, Board of Governors of the Federal Reserve System (U.S.).
- 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.
- Régis 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.).
- Francisco Lasso-Valderrama & Héctor M. Zárate-Solano, 2019. "Forecasting the Colombian Unemployment Rate Using Labour Force Flows," Borradores de Economia 1073, Banco de la Republica de Colombia.
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