Agree to disagree? Predictions of U.S. nonfarm payroll changes between 2008 and 2020 and the impact of the COVID19 labor shock
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DOI: 10.1016/j.jebo.2021.11.028
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- Clements, Michael P. & Galvão, Ana Beatriz, 2021. "Measuring the effects of expectations shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).
- Koop, Gary & Potter, Simon M, 1999.
"Dynamic Asymmetries in U.S. Unemployment,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 298-312, July.
- Gary Koop & Simon M. Potter, 1998. "Dynamic asymmetries in US unemployment," Edinburgh School of Economics Discussion Paper Series 15, Edinburgh School of Economics, University of Edinburgh.
- Krauss, Christopher & Do, Xuan Anh & Huck, Nicolas, 2017.
"Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500,"
European Journal of Operational Research, Elsevier, vol. 259(2), pages 689-702.
- Krauss, Christopher & Do, Xuan Anh & Huck, Nicolas, 2016. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," FAU Discussion Papers in Economics 03/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
- Christopher Krauss & Xuan Anh Do & Nicolas Huck, 2017. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," Post-Print hal-01515120, HAL.
- Dovern, Jonas & Weisser, Johannes, 2011.
"Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7,"
International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465.
- Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465, April.
- Jonas Dovern & Johannes Weisser, 2009. "Accuracy, Unbiasedness and Efficiency of Professional Macroeconomic Forecasts: An empirical Comparison for the G7," Jena Economics Research Papers 2009-091, Friedrich-Schiller-University Jena.
- Davies, Antony, 2006. "A framework for decomposing shocks and measuring volatilities derived from multi-dimensional panel data of survey forecasts," International Journal of Forecasting, Elsevier, vol. 22(2), pages 373-393.
- Olivier Coibion & Yuriy Gorodnichenko, 2012.
"What Can Survey Forecasts Tell Us about Information Rigidities?,"
Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
- Olivier Coibion & Yuriy Gorodnichenko, 2008. "What Can Survey Forecasts Tell Us About Informational Rigidities?," NBER Working Papers 14586, National Bureau of Economic Research, Inc.
- Yuriy Gorodnichenko & Olivier Coibion, 2010. "What can survey forecasts tell us about informational rigidities?," 2010 Meeting Papers 277, Society for Economic Dynamics.
- Carlos Capistr¡N & Allan Timmermann, 2009.
"Disagreement and Biases in Inflation Expectations,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 365-396, March.
- Carlos Capistrán & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Computing in Economics and Finance 2006 3, Society for Computational Economics.
- Carlos Capistrán & Allan Timmermann, 2008. "Disagreement and Biases in Inflation Expectations," CREATES Research Papers 2008-56, Department of Economics and Business Economics, Aarhus University.
- Timmermann Allan & Capistrán Carlos, 2006. "Disagreement and Biases in Inflation Expectations," Working Papers 2006-07, Banco de México.
- 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.
- Antonello D’Agostino & Kieran Mcquinn & Karl Whelan, 2012.
"Are Some Forecasters Really Better Than Others?,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(4), pages 715-732, June.
- Antonello D’agostino & Kieran Mcquinn & Karl Whelan, 2012. "Are Some Forecasters Really Better Than Others?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(4), pages 715-732, June.
- Antonello D’Agostino & Kieran McQuinn & Karl Whelan, 2010. "Are Some Forecasters Really Better Than Others?," Working Papers 201012, School of Economics, University College Dublin.
- D'Agostino, Antonello & McQuinn, Kieran & Whelan, Karl, 2010. "Are Some Forecasters Really Better Than Others?," Research Technical Papers 5/RT/10, Central Bank of Ireland.
- D'Agostino, Antonello & McQuinn, Kieran & Whelan, Karl, 2011. "Are some forecasters really better than others?," MPRA Paper 32938, University Library of Munich, Germany.
- Gultekin Isiklar & Kajal Lahiri & Prakash Loungani, 2006.
"How quickly do forecasters incorporate news? Evidence from cross‐country surveys,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 703-725, September.
- Kajal Lahiri & Gultekin Isiklar & Prakash Loungani, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 703-725.
- Isiklar, Gultekin & Lahiri, Kajal & Loungani, Prakash, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," MPRA Paper 22065, University Library of Munich, Germany.
- Michael P. Clements, 2020. "Are Some Forecasters’ Probability Assessments of Macro Variables Better Than Those of Others?," Econometrics, MDPI, vol. 8(2), pages 1-16, May.
- Sanjay Ramchander & Marc Simpson & Mukesh Chaudhry, 2003. "The impact of inflationary news on money market yields and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 85-101, March.
- Peter R. Hansen & Asger Lunde & James M. Nason, 2011.
"The Model Confidence Set,"
Econometrica, Econometric Society, vol. 79(2), pages 453-497, March.
- Peter R. Hansen & Asger Lunde & James M. Nason, 2010. "The Model Confidence Set," CREATES Research Papers 2010-76, Department of Economics and Business Economics, Aarhus University.
- Davies, Anthony & Lahiri, Kajal, 1995. "A new framework for analyzing survey forecasts using three-dimensional panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 205-227, July.
- Simeon Vosen & Torsten Schmidt, 2011.
"Forecasting private consumption: survey‐based indicators vs. Google trends,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(6), pages 565-578, September.
- Schmidt, Torsten & Vosen, Simeon, 2009. "Forecasting Private Consumption: Survey-based Indicators vs. Google Trends," Ruhr Economic Papers 155, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
- Stefania Albanesi & Jiyeon Kim, 2021. "Effects of the COVID-19 Recession on the US Labor Market: Occupation, Family, and Gender," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 3-24, Summer.
- Rachidi Kotchoni & Maxime Leroux & Dalibor Stevanovic, 2019.
"Macroeconomic forecast accuracy in a data‐rich environment,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1050-1072, November.
- Rachidi Kotchoni & Maxime Leroux & Dalibor Stevanovic, 2019. "Macroeconomic Forecast Accuracy in data-rich environment," Post-Print hal-02435757, HAL.
- Dungey, Mardi & McKenzie, Michael & Smith, L. Vanessa, 2009.
"Empirical evidence on jumps in the term structure of the US Treasury Market,"
Journal of Empirical Finance, Elsevier, vol. 16(3), pages 430-445, June.
- Mardi Dungey & Michael McKenzie & Vanessa Smith, 2007. "Empirical Evidence On Jumps In The Term Structure Of The Us Treasury Market," CAMA Working Papers 2007-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Benedikt Maas, 2020.
"Short‐term forecasting of the US unemployment rate,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 394-411, April.
- Maas, Benedikt, 2019. "Short-term forecasting of the US unemployment rate," MPRA Paper 94066, University Library of Munich, Germany.
- Olivier Coibion & Yuriy Gorodnichenko, 2015.
"Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts,"
American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
- Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," NBER Working Papers 16537, National Bureau of Economic Research, Inc.
- Mr. Olivier Coibion & Mr. Yuriy Gorodnichenko, 2012. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," IMF Working Papers 2012/296, International Monetary Fund.
- Olivier Coibion & Yuriy Gorodnichenko, 2010. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," Working Papers 102, Department of Economics, College of William and Mary.
- Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2008. "Evaluating a three-dimensional panel of point forecasts: The Bank of England Survey of External Forecasters," International Journal of Forecasting, Elsevier, vol. 24(3), pages 354-367.
- Capistrán, Carlos & Timmermann, Allan, 2009.
"Forecast Combination With Entry and Exit of Experts,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 428-440.
- Timmermann Allan & Capistrán Carlos, 2006. "Forecast Combination with Entry and Exit of Experts," Working Papers 2006-08, Banco de México.
- Carlos Capistrán & Allan Timmermann, 2008. "Forecast Combination With Entry and Exit of Experts," CREATES Research Papers 2008-55, Department of Economics and Business Economics, Aarhus University.
- Armantier, Olivier & Koşar, Gizem & Pomerantz, Rachel & Skandalis, Daphné & Smith, Kyle & Topa, Giorgio & van der Klaauw, Wilbert, 2021.
"How economic crises affect inflation beliefs: Evidence from the Covid-19 pandemic,"
Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 443-469.
- Olivier Armantier & Gizem Koşar & Rachel Pomerantz & Daphne Skandalis & Kyle Smith & Giorgio Topa & Wilbert Van der Klaauw, 2020. "How Economic Crises Affect Inflation Beliefs: Evidence from the COVID-19 Pandemic," Staff Reports 949, Federal Reserve Bank of New York.
- Christopher Krauss & Anh Do & Nicolas Huck, 2017. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," Post-Print hal-01768895, HAL.
- Clements, Michael P., 2021.
"Do survey joiners and leavers differ from regular participants? The US SPF GDP growth and inflation forecasts,"
International Journal of Forecasting, Elsevier, vol. 37(2), pages 634-646.
- Michael P. Clements, 2020. "Do Survey Joiners and Leavers Differ from Regular Participants? The US SPF GDP Growth and Inflation Forecasts," ICMA Centre Discussion Papers in Finance icma-dp2020-01, Henley Business School, University of Reading.
- Ang, Andrew & Bekaert, Geert & Wei, Min, 2007.
"Do macro variables, asset markets, or surveys forecast inflation better?,"
Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
- Andrew Ang & Geert Bekaert & Min Wei, 2005. "Do Macro Variables, Asset Markets or Surveys Forecast Inflation Better?," NBER Working Papers 11538, National Bureau of Economic Research, Inc.
- Andrew Ang & Geert Bekaert & Min Wei, 2006. "Do macro variables, asset markets, or surveys forecast inflation better?," Finance and Economics Discussion Series 2006-15, Board of Governors of the Federal Reserve System (U.S.).
- Allan W. Gregory & Hui Zhu, 2014. "Testing the value of lead information in forecasting monthly changes in employment from the Bureau of Labor Statistics," Applied Financial Economics, Taylor & Francis Journals, vol. 24(7), pages 505-514, April.
- Dungey, Mardi & Hvozdyk, Lyudmyla, 2012.
"Cojumping: Evidence from the US Treasury bond and futures markets,"
Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1563-1575.
- Mardi Dungey & Lyudmyla Hvozdyk, 2010. "Cojumping: Evidence from the US Treasury Bond and Futures Markets," NCER Working Paper Series 56, National Centre for Econometric Research, revised 20 Jul 2010.
- Fischer, Thomas & Krauss, Christopher, 2018. "Deep learning with long short-term memory networks for financial market predictions," European Journal of Operational Research, Elsevier, vol. 270(2), pages 654-669.
- Janiak, Alexandre & Machado, Caio & Turén, Javier, 2021.
"Covid-19 contagion, economic activity and business reopening protocols,"
Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 264-284.
- Alexandre Janiak & Caio Machado & Javier Turén, 2020. "Covid-19 contagion, economic activity and business reopening protocols," Documentos de Trabajo 556, Instituto de Economia. Pontificia Universidad Católica de Chile..
- Edison, Hali J, 1997.
"The Reaction of Exchange Rates and Interest Rates to News Releases,"
International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(2), pages 87-100, April.
- Hali J. Edison, 1996. "The reaction of exchange rates and interest rates to news releases," International Finance Discussion Papers 570, Board of Governors of the Federal Reserve System (U.S.).
- Carlos Capistrán & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 365-396, March.
- Alexander W. Bartik & Marianne Bertrand & Feng Lin & Jesse Rothstein & Matthew Unrath, 2020.
"Measuring the Labor Market at the Onset of the COVID-19 Crisis,"
Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(2 (Summer), pages 239-268;316.
- Alexander W. Bartik & Marianne Bertrand & Feng Lin & Jesse Rothstein & Matt Unrath, 2020. "Measuring the labor market at the onset of the COVID-19 crisis," NBER Working Papers 27613, National Bureau of Economic Research, Inc.
- Alexander W. Bartik & Marianne Bertrand & Feng Lin & Jesse Rothstein & Matt Unrath, 2020. "Measuring the Labor Market at the Onset of the COVID-19 Crisis," Working Papers 2020-83, Becker Friedman Institute for Research In Economics.
- Bartik, Alexander & Bertrand, Marianne & Lin, Feng & Rothstein, Jesse & Unrath, Matthew, 2020. "Measuring the labor market at the onset of the COVID-19 crisis," Department of Economics, Working Paper Series qt15k6d98m, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Joscha Beckmann & Robert L. Czudaj, 2020. "Professional forecasters' expectations, consistency, and international spillovers," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1001-1024, November.
- Kajal Lahiri & Xuguang Sheng, 2010.
"Measuring forecast uncertainty by disagreement: The missing link,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
- Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Kajal Lahiri & Xuguang Sheng, 2009. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," Discussion Papers 09-06, University at Albany, SUNY, Department of Economics.
- Robert Rich & Joseph Tracy, 2010. "The Relationships among Expected Inflation, Disagreement, and Uncertainty: Evidence from Matched Point and Density Forecasts," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 200-207, February.
- Felipe Lozano Rojas & Xuan Jiang & Laura Montenovo & Kosali I. Simon & Bruce A. Weinberg & Coady Wing, 2020. "Is the Cure Worse than the Problem Itself? Immediate Labor Market Effects of COVID-19 Case Rates and School Closures in the U.S," NBER Working Papers 27127, National Bureau of Economic Research, Inc.
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- Qiu, Yajie & Deschamps, Bruno & Liu, Xiaoquan, 2024. "Uncertainty and macroeconomic forecasts: Evidence from survey data," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 463-480.
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More about this item
Keywords
COVID19; Employment; Forecasting; Machine learning; Survey data;All these keywords.
JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
Statistics
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