IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

Citations for "Calling Recessions in Real Time"

by James D. Hamilton

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Owyang, Michael T. & Piger, Jeremy & Wall, Howard J., 2012. "Forecasting national recessions using state-level data," MPRA Paper 39168, University Library of Munich, Germany.
  2. Camacho, Maximo & Pérez-Quirós, Gabriel & Poncela, Pilar, 2012. "Extracting nonlinear signals from several economic indicators," CEPR Discussion Papers 8865, C.E.P.R. Discussion Papers.
  3. Camacho, Maximo & Pérez-Quirós, Gabriel & Poncela, Pilar, 2012. "Markov-switching dynamic factor models in real time," CEPR Discussion Papers 8866, C.E.P.R. Discussion Papers.
  4. Rachidi Kotchoni & Dalibor Stevanovic, 2013. "Probability and Severity of Recessions," Cahiers de recherche 1341, CIRPEE.
  5. Theobald, Thomas, 2013. "Markov Switching with Endogenous Number of Regimes and Leading Indicators in a Real-Time Business Cycle Forecast," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79911, Verein für Socialpolitik / German Economic Association.
  6. Luís Francisco Aguiar & Manuel M. F. Martins & Maria Joana Soares, 2010. "The yield curve and the macro-economy across time and frequencies," NIPE Working Papers 21/2010, NIPE - Universidade do Minho.
  7. repec:syb:wpbsba:05/2013 is not listed on IDEAS
  8. Turgut Kisinbay & Chikako Baba, 2011. "Predicting Recessions; A New Approach for Identifying Leading Indicators and Forecast Combinations," IMF Working Papers 11/235, International Monetary Fund.
  9. Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014. "Combined Density Nowcasting in an Uncertain Economic Environment," Tinbergen Institute Discussion Papers 14-152/III, Tinbergen Institute.
  10. Schreiber, Sven, 2013. "Forecasting business-cycle turning points with (relatively large) linear systems in real time," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79709, Verein für Socialpolitik / German Economic Association.
  11. Österholm, Pär, 2012. "The limited usefulness of macroeconomic Bayesian VARs when estimating the probability of a US recession," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 76-86.
  12. Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Working Papers 15-24, Bank of Canada.
  13. Foroni, Claudia & Guérin, Pierre & Marcellino, Massimiliano, 2014. "Markov-Switching Mixed-Frequency VAR Models," CEPR Discussion Papers 9815, C.E.P.R. Discussion Papers.
  14. Pauwels, Laurent & Vasnev, Andrey, 2014. "Forecast combination for U.S. recessions with real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 138-148.
  15. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Combination schemes for turning point predictions," Working Papers 2012_15, Department of Economics, University of Venice "Ca' Foscari".
  16. Camacho, Maximo & Perez Quiros, Gabriel & Poncela, Pilar, 2014. "Green shoots and double dips in the euro area: A real time measure," International Journal of Forecasting, Elsevier, vol. 30(3), pages 520-535.
  17. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8 Bank for International Settlements.
  18. Knut Are Aastveit & Anne Sofie Jore & Francesco Ravazzolo, 2014. "Forecasting recessions in real time," Working Paper 2014/02, Norges Bank.
  19. Nyberg, Henri, 2013. "Predicting bear and bull stock markets with dynamic binary time series models," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3351-3363.
  20. James H. Stock & Mark W. Watson, 2010. "Estimating Turning Points Using Large Data Sets," NBER Working Papers 16532, National Bureau of Economic Research, Inc.
  21. Sergey Smirnov, 2011. "Those Unpredictable Recessions," HSE Working papers WP BRP 02/EC/2011, National Research University Higher School of Economics.
  22. Paul Viefers, 2011. "Bayesian Inference for the Mixed-Frequency VAR Model," Discussion Papers of DIW Berlin 1172, DIW Berlin, German Institute for Economic Research.
  23. Guérin, Pierre & Marcellino, Massimiliano, 2011. "Markov-switching MIDAS models," CEPR Discussion Papers 8234, C.E.P.R. Discussion Papers.
  24. Wildi, Marc, 2010. "Real-Time Signal Extraction: a Shift of Perspective/Extracción de señal en tiempo real: un cambio de perspectiva," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 28, pages 497-518, Diciembre.
  25. Canova, Fabio & Schlaepfer, Alan, 2014. "Has the Euro-Mediterranean partnership affected Mediterranean business cycles?," CEPR Discussion Papers 10023, C.E.P.R. Discussion Papers.
  26. Schreiber, Sven, 2014. "Anticipating business-cycle turning points in real time using density forecasts from a VAR," Discussion Papers 2014/2, Free University Berlin, School of Business & Economics.
  27. Thomas Theobald, 2012. "Real-time Markov Switching and Leading Indicators in Times of the Financial Crisis," IMK Working Paper 98-2012, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
  28. Viv B. Hall & John McDermott, 2014. "Recessions and Recoveries in New Zealand's Post-Second World War Business Cycles," Reserve Bank of New Zealand Discussion Paper Series DP2014/02, Reserve Bank of New Zealand.
  29. Jeremy J. Nalewaik, 2011. "Forecasting recessions using stall speeds," Finance and Economics Discussion Series 2011-24, Board of Governors of the Federal Reserve System (U.S.).
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.