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Evaluating predictive densities of U.S. output growth and inflation in a large macroeconomic data set

We evaluate conditional predictive densities for U.S. output growth and inflation using a number of commonly used forecasting models that rely on a large number of macroeconomic predictors. More specifically, we evaluate how well conditional predictive densities based on the commonly used normality assumption fit actual realizations out-of-sample. Our focus on predictive densities acknowledges the possibility that, although some predictors can improve or deteriorate point forecasts, they might have the opposite effect on higher moments. We find that normality is rejected for most models in some dimension according to at least one of the tests we use. Interestingly, however, combinations of predictive densities appear to be correctly approximated by a normal density: the simple, equal average when predicting output growth and Bayesian model average when predicting inflation.

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Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 1370.

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Date of creation: Feb 2013
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Handle: RePEc:upf:upfgen:1370
Contact details of provider: Web page: http://www.econ.upf.edu/

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  1. Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-08, May.
  2. Valentina Corradi & Norman Swanson, 2004. "Predictive Density Evaluation," Departmental Working Papers 200419, Rutgers University, Department of Economics.
  3. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27987, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  4. Jonathan H. Wright, 2009. "Forecasting US inflation by Bayesian model averaging," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 131-144.
  5. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2003. "Leading Indicators for Euro Area Inflation and GDP Growth," CEPR Discussion Papers 3893, C.E.P.R. Discussion Papers.
  6. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27988, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  7. James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
  8. Massimiliano Marcellino & James H. Stock & Mark W. Watson, . "Macroeconomic Forecasting in the Euro Area: Country Specific versus Area-Wide Information," Working Papers 201, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  9. Manzan, Sebastiano & Zerom, Dawit, 2013. "Are macroeconomic variables useful for forecasting the distribution of U.S. inflation?," International Journal of Forecasting, Elsevier, vol. 29(3), pages 469-478.
  10. N/A, 2000. "Section I. Recent economic developments," National Institute Economic Review, National Institute of Economic and Social Research, vol. 174(1), pages 30-37, October.
  11. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27991, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  12. -, 2000. "Economic survey of Canada, 1999," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28797, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  13. N/A, 2000. "The world economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 172(1), pages 3-3, April.
  14. Amisano, Gianni & Giacomini, Raffaella, 2007. "Comparing Density Forecasts via Weighted Likelihood Ratio Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 177-190, April.
  15. Garratt A. & Lee K. & Pesaran M.H. & Shin Y., 2003. "Forecast Uncertainties in Macroeconomic Modeling: An Application to the U.K. Economy," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 829-838, January.
  16. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27984, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  17. Anne-Sofie Jore & James Mitchell & Shaun P. Vahey, 2008. "Combining forecast densities from VARs with uncertain instabilities," Working Paper 2008/01, Norges Bank.
  18. Massimo Guidolin & Allan Timmerman, 2005. "Term structure of risk under alternative econometric specifications," Working Papers 2005-001, Federal Reserve Bank of St. Louis.
  19. Anindya Banerjee & Massimiliano Marcellino, 2003. "Are There Any Reliable Leading Indicators for U.S. Inflation and GDP Growth?," Working Papers 236, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  20. Diks, Cees & Panchenko, Valentyn & van Dijk, Dick, 2011. "Likelihood-based scoring rules for comparing density forecasts in tails," Journal of Econometrics, Elsevier, vol. 163(2), pages 215-230, August.
  21. -, 2000. "Global economic developments, 1999," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 27471, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  22. Domenico Giannone & Michèle Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," Working Papers ECARES ECARES 2012-002, ULB -- Universite Libre de Bruxelles.
  23. N/A, 2000. "The world economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 174(1), pages 3-3, October.
  24. Clements, M.P. & Smith J., 1998. "Evaluating The Forecast of Densities of Linear and Non-Linear Models: Applications to Output Growth and Unemployment," The Warwick Economics Research Paper Series (TWERPS) 509, University of Warwick, Department of Economics.
  25. anonymous, 2000. "Western economic developments," Western economic developments, Federal Reserve Bank of San Francisco, issue May.
  26. Berkowitz, Jeremy, 2001. "Testing Density Forecasts, with Applications to Risk Management," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 465-74, October.
  27. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27985, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  28. ., 2000. "Ideology and analysis in macroeconomics," Chapters, in: Macroeconomic Instability and Coordination, chapter 18 Edward Elgar Publishing.
  29. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27986, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  30. -, 2000. "Economic survey of United States, 1999," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28796, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  31. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
  32. Marjolein C.J. Caniëls, 2000. "Knowledge Spillovers and Economic Growth," Books, Edward Elgar Publishing, number 1936.
  33. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-68, November.
  34. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
  35. Timmermann, Allan G, 2005. "Forecast Combinations," CEPR Discussion Papers 5361, C.E.P.R. Discussion Papers.
  36. Rossi, Barbara & Sekhposyan, Tatevik, 2010. "Have economic models' forecasting performance for US output growth and inflation changed over time, and when?," International Journal of Forecasting, Elsevier, vol. 26(4), pages 808-835, October.
  37. James H. Stock & Mark W. Watson, 1994. "Evidence on Structural Instability in Macroeconomic Time Series Relations," NBER Technical Working Papers 0164, National Bureau of Economic Research, Inc.
  38. anonymous, 2000. "Strengthening the emerging market economies," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 44(Jun), pages 228-231.
  39. Clark, Todd E., 2011. "Real-Time Density Forecasts From Bayesian Vector Autoregressions With Stochastic Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(3), pages 327-341.
  40. anonymous, 2000. "Western economic developments," Western economic developments, Federal Reserve Bank of San Francisco, issue Sep.
  41. repec:hal:journl:peer-00834423 is not listed on IDEAS
  42. Jurgen A Doornik & Henrik Hansen, . "An omnibus test for univariate and multivariate normalit," Economics Papers W4&91., Economics Group, Nuffield College, University of Oxford.
  43. Anonymous, 2000. "Microeconomic Reform and the Environment," Conference/Workshop Proceedings 31908, Productivity Commission.
  44. James Mitchell & Kenneth F. Wallis, 2011. "Evaluating density forecasts: forecast combinations, model mixtures, calibration and sharpness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 1023-1040, 09.
  45. Rossi, Barbara & Sekhposyan, Tatevik, 2013. "Conditional predictive density evaluation in the presence of instabilities," Journal of Econometrics, Elsevier, vol. 177(2), pages 199-212.
  46. Diebold, Francis X & Gunther, Todd A & Tay, Anthony S, 1998. "Evaluating Density Forecasts with Applications to Financial Risk Management," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 863-83, November.
  47. N/A, 2000. "The world economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 173(1), pages 3-3, July.
  48. -, 2000. "Meeting held on engendering macroeconomic policy," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 2, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  49. S. Illeris & G. Akehurst, 2002. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 22(1), pages 1-3, January.
  50. N/A, 2000. "The World Economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 173(1), pages 43-65, July.
  51. Valentina Corradi & Norman Swanson, 2006. "Predictive Density Evaluation. Revised," Departmental Working Papers 200621, Rutgers University, Department of Economics.
  52. N/A, 2000. "At a Glance ... The UK economy," National Institute Economic Review, National Institute of Economic and Social Research, vol. 173(1), pages 2-2, July.
  53. anonymous, 2000. "Western economic developments," Western economic developments, Federal Reserve Bank of San Francisco, issue Nov.
  54. 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.
  55. G. Elliott & C. Granger & A. Timmermann (ed.), 2013. "Handbook of Economic Forecasting," Handbook of Economic Forecasting, Elsevier, edition 1, volume 2, number 2, May/June.
  56. ., 2000. "Inflation and economic performance," Chapters, in: Macroeconomic Instability and Coordination, chapter 8 Edward Elgar Publishing.
  57. Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
  58. anonymous, 2000. "Western economic developments," Western economic developments, Federal Reserve Bank of San Francisco, issue Feb.
  59. Anonymous, 2000. "Agricultural Economics Volumes 1-22, 1986-2000," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 23(2), August.
  60. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27990, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  61. anonymous, 2000. "Reviewing economic development needs," Banking and Community Perspectives, Federal Reserve Bank of Dallas, issue 2, pages 6-7.
  62. Bai, Jushan & Ng, Serena, 2007. "Determining the Number of Primitive Shocks in Factor Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 52-60, January.
  63. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
  64. Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
  65. Manzan, Sebastiano & Zerom, Dawit, 2009. "Are Macroeconomic Variables Useful for Forecasting the Distribution of U.S. Inflation?," MPRA Paper 14387, University Library of Munich, Germany.
  66. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27992, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  67. anonymous, 2000. "Twelfth District economic update," Western economic developments, Federal Reserve Bank of San Francisco, issue Dec, pages 5.
  68. anonymous, 2000. "Western economic developments," Western economic developments, Federal Reserve Bank of San Francisco, issue Mar.
  69. anonymous, 2000. "Western economic developments," Western economic developments, Federal Reserve Bank of San Francisco, issue Jun.
  70. anonymous, 2000. "Western economic developments," Western economic developments, Federal Reserve Bank of San Francisco, issue Aug.
  71. -, 2000. "Evolución de la economía brasileña," Informe Estadístico – Oficina de la CEPAL en Brasilia 27983, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
  72. repec:ecr:col114:28022 is not listed on IDEAS
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