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Original Articles

R2 Bounds for Predictive Models: What Univariate Properties Tell us About Multivariate Predictability

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Pages 681-695 | Received 01 Mar 2016, Published online: 31 May 2018

References

  • Banbura, M. , Giannone, D. , and Reichlin, L. (2010), “Large Bayesian Vector Auto Regressions,” Journal of Applied Econometrics , 25, 71–92.
  • Beveridge, S. , and Nelson, C. R. (1981), “A New Approach to Decomposition of Economic Time Series Into Permanent and Transitory Components With Particular Attention to Measurement of the ‘Business Cycle’,” Journal of Monetary Economics , 7, 151–174.
  • Canova, F. (2007), Methods for Applied Macroeconomic Research , Princeton, NJ : Princeton University Press.
  • Carriero, A. , Clark, T. E. , and Marcellino, M. (2016), “Common Drifting Volatility in Large Bayesian VARs,” Journal of Business and Economic Statistics , 34, 375–390.
  • Chan, J. C. C. (2017), “Specification Tests for Time-Varying Parameter Models With Stochastic Volatility,” Econometric Reviews .
  • Chan, J. C. C. , Koop, G. , and Potter, S. M. (2013), “A New Model of Trend Inflation,” Journal of Business and Economic Statistics , 31, 94–106.
  • Chauvet, M. , and Potter, S. (2013), “Forecasting Output,” in Handbook of Economic Forecasting (Vol. 2A), eds. G. Elliott and A. Timmermann , Amsterdam : Elsevier, pp. 1–56
  • Cogley, T. , and Sargent, T. (2005), “Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S.,” Review of Economic Dynamics , 8, 262–302.
  • Cubadda, G. , Hecq, A. , and Palm, F. C. (2009), “Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling,” Journal of Econometrics , 148, 25–35.
  • D’Agostino, A , Gambetti, L. , and Giannone, D. (2013), “Macroeconomic Forecasting and Structural Change,” Journal of Applied Econometrics , 28, 82–101.
  • D’Agostino, A. , and Surico, P. (2012), “A Century of Inflation Forecasts,” Review of Economics and Statistics , 94, 1097–1106.
  • Diebold, F. X. , and Rudebusch, G. D. (1989), “Long Memory and Persistence in Aggregate Output,” Journal of Monetary Economics , 24, 189–209.
  • Estrella, A. , and Stock, J. H. (2015), “A State-Dependent Model for Inflation Forecasting,” in Unobserved Components and Time Series Econometrics , eds. S. J. Koopman and N. Shephard , Oxford : Oxford University Press, pp. 14–29.
  • Fernández-Villaverde, J. , Rubio-Ramírez, J. F. , Sargent, T. J. , and Watson, M. W. (2007), “ABCs (and Ds) of Understanding VARs,” American Economic Review , 97, 1021–1026.
  • Granger, C. W. J. (1969), “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods,” Econometrica , 37, 424–38.
  • Hamilton, J. D. (1994), Time Series Analysis , Princeton, NJ : Princeton University Press.
  • Koop, G. (2013), “Forecasting With Medium and Large Bayesian VARs,” Journal of Applied Econometrics , 28, 177–203.
  • Lippi, M. , and Reichlin, L. (1994), “VAR Analysis, Nonfundamental Representations, Blaschke Matrices,” Journal of Econometrics , 63, 307–325.
  • Lütkepohl, H. (2007), New Introduction to Multiple Time Series Analysis , New York : Springer.
  • Mitchell, J. , Robertson, D. , and Wright, S. (2018), “The Predictive Space: If x Predicts y, What Does y Tell Us About x?” Birkbeck College Working Paper.
  • Nelson, C. R. (1972), “The Prediction Performance of the FRB-MIT-PENN Model of the U.S. Economy,” American Economic Review , 62, 902–917.
  • Pástor, L. , and Stambaugh, R. F. (2009), “Predictive Systems: Living With Imperfect Predictors,” Journal of Finance , 64, 1583–1628.
  • Rossi, B. (2013a), “Exchange Rate Predictability,” Journal of Economic Literature , 51, 1063–1119.
  • ——— (2013b), “Advances in Forecasting Under Model Instability,” in Handbook of Economic Forecasting (Vol. 2B), eds. G. Elliott and A. Timmermann , Amsterdam : Elsevier-North Holland, pp. 1203–1324.
  • Smets, F. , and Wouters, R. (2007), “Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach,” American Economic Review , 97, 586–606.
  • Stock, J. H. , and Watson, M. W. (2002), “Forecasting Using Principal Components From a Large Number of Predictors,” Journal of the American Statistical Association , 97, 1167–1179.
  • ——— (2007), “Why Has U.S. Inflation Become Harder to Forecast?” Journal of Money Credit and Banking , 39, 13–33.
  • ——— (2009), “Phillips Curve Inflation Forecasts,” in Fuhrer, J., Kodrzycki, Y., Little, J., and Olivei, G., (Eds.), Federal Bank of Boston Conference Proceedings Understanding Inflation and the Implications for Monetary Policy, a Phillips Curve Retrospective , pp. 99–202.
  • ——— (2010),” Modeling Inflation After the Crisis,” in FRB Kansas City Symposium , Jackson Hole, Wyoming, August 26–28.
  • ——— (2016), “Core Inflation and Trend Inflation,” Review of Economics and Statistics , 98, 770–784.
  • Wallis, K. F. (1977), “Multiple Time Series Analysis and the Final Form of Econometric Models,” Econometrica , 45, 1481–1497.
  • Zellner, A. , and Palm, F. C. (1974), “Time Series Analysis and Simultaneous Equation Econometric Models,” Journal of Econometrics , 2, 17–54.

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