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Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model. (2017). Ravazzolo, Francesco ; Marcellino, Massimiliano ; Foroni, Claudia ; Casarin, Roberto.
In: CEPR Discussion Papers.
RePEc:cpr:ceprdp:12339.

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  1. (a) First, we consider the Financial Uncertainty Index as in Jurado et al. (2015) instead of VIX. Table D.1 and Table D.2 report the median of the sum of the six coefficients, monthly contemporaneous and lagged variables, that have 90% of the mass of the sum of the six coefficients different from zero for the two regimes.
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  2. Alessandri, P. and Mumtaz, H. (2014). Financial Regimes and Uncertainty Shocks. Working Papers 729, Queen Mary University of London, School of Economics and Finance.

  3. Baker, S. R., Bloom, N., and Davis, S. J. (2016). Measuring Economic Policy Uncertainty. The Quarterly Journal of Economics, 131(4):1593–1636.

  4. Bassetti, F., Casarin, R., and Leisen, F. (2014). Beta-product dependent Pitman-Yor processes for Bayesian inference. Journal of Econometrics, 140:49–72.

  5. Billio, M., Casarin, R., Costola, M., and Pasqualini, A. (2016a). An entropy-based early warning indicator for systemic risk. Journal of International Financial Markets, Institutions and Money, forthcoming, 45:42–59. 13 We also investigate an example where US forecast disagreement is used as measure of macroeconomic uncertainty for all the countries, therefore similarly to the application of US VIX as measure of financial uncertainty for all the countries. The correlation of US forecast disagreement with other country measures is lower than the case of financial uncertainty. The role of financial uncertainty is amplified with respect to the benchmark example. Results are available upon request.

  6. Billio, M., Casarin, R., Ravazzolo, F., and Van Dijk, H. (2016b). Interactions between eurozone and US booms and busts: A Bayesian panel Markov-switching VAR model. Journal of Applied Econometrics, 31(7):1352–1370.

  7. Billio, M., Casarin, R., Ravazzolo, F., and van Dijk, H. K. (2012). Combination schemes for turning point predictions. Quarterly Review of Economics and Finance, 52(4):402–412.

  8. Bloom, N. (2009). The Impact of Uncertainty Shocks. Econometrica, 77(3):623–685.

  9. Bloom, N. (2014). Fluctuations in Uncertainty. Journal of Economic Perspectives, 28(2):153–76.

  10. Caggiano, G., Castelnuovo, E., and Groshenny, N. (2014). Uncertainty shocks and unemployment dynamics in U.S. recessions. Journal of Monetary Economics, 67(C):78–92.

  11. Canova, F. and Ciccarelli, M. (2004). Forecasting and turning point predictions in a Bayesian panel VAR model. Journal of Econometrics, 120(2):327–359.

  12. Canova, F. and Ciccarelli, M. (2009). Estimating multicountry VAR models. International Economic Review, 50(3):929–959.

  13. Carriero, A., Clark, T. E., and Marcellino, M. (2017). Measuring uncertainty and its impact on the economy. Review of Economics and Statistics, forthcoming.
    Paper not yet in RePEc: Add citation now
  14. Chib, S. and Greenberg, E. (1995). Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models. Journal of Econometrics, 68:339– 360.

  15. Clark, T. and Ravazzolo, F. (2015). The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility. Journal of Applied Econometrics, 30(4):551–575.
    Paper not yet in RePEc: Add citation now
  16. Clements, M. P. and Galvao, A. B. (2008). Macroeconomic forecasting with mixed-frequency data. Journal of Business and Economic Statistics, 26:546–554.

  17. Dovern, J., Fritsche, U., and Slacalek, J. (2012). Disagreement among forecasters in G7 countries.

  18. Ferrara, L. and Guerin, P. (2015). What are the macroeconomic effects of high-frequency uncertainty shocks? Economics Working Papers 2015-12, University of Paris West - Nanterre la Defense, EconomiX.

  19. Foroni, C. and Marcellino, M. (2014). Mixed-frequency structural models: Identification, estimation, and policy analysis. Journal of Applied Econometrics, 29(7):1118–1144.

  20. Foroni, C., Marcellino, M., and Schumacher, C. (2015a). Unrestricted mixed data sampling (MIDAS): MIDAS regressions with unrestricted lag polynomials. Journal of the Royal Statistical Society A, 178(1):57–82.

  21. Foroni, C., Ravazzolo, F., and Ribeiro, P. J. (2015b). Forecasting commodity currencies: the role of fundamentals with short-lived predictive content. Working Paper 2015/14, Norges Bank.

  22. Frühwirth-Schnatter, S. (2006). Mixture and Markov-swithing Models. Springer, New York.
    Paper not yet in RePEc: Add citation now
  23. Ghysels, E., Santa-Clara, P., and Valkanov, R. (2005). There is a risk-return trade-off after all. Journal of Financial Economics, 76(3):509–548.

  24. Ghysels, E., Sinko, A., and Valkanov, R. (2007). Midas regressions: Further results and new directions. Econometric Reviews, 26(1):53–90.

  25. Gourio, F. (2012). Disasters risk and business cycles. American Economic Review, 102:2734– 2766.

  26. Guérin, P. and Marcellino, M. (2013). Markov-switching MIDAS models. Journal of Business and Economic Statistics, 31(1):45–56.

  27. Jurado, K., Ludvigson, S. C., and Ng, S. (2015). Measuring Uncertainty. American Economic Review, 105(3):1177–1216.

  28. Kaufmann, S. (2010). Dating and forecasting turning points by Bayesian clustering with dynamic structure: A suggestion with an application to Austrian data. Journal of Applied Econometrics, 25:309–344.

  29. Kaufmann, S. (2015). K-state switching models with time-varying transition distributions: Does loan growth signal stronger effects of variables on inflation? Journal of Econometrics, 187(1):82–94.

  30. Khalaf, L., Kichian, M., Saunders, C., and Voia, M. (2013). Dynamic panels with MIDAS covariates: Estimation and fit. Technical report.

  31. Koop, G. and Korobilis, D. (2016). Forecasting with high dimensional panel vars. Strathclyde Business School Working Paper.

  32. Liu, J. (1994). The collapsed Gibbs sampler in Bayesian computations with applications to a gene regulation problem. Journal of the American Statistical Association, 89(427):958 – 966.
    Paper not yet in RePEc: Add citation now
  33. Ludvigson, S. C., Ma, S., and Ng, S. (2015). Uncertainty and business cycles: Exogenous impulse or endogenous response? NBER Working Papers 21803.

  34. Magnus, J. R. and Neudecker , H. (1999). Matrix Differential Calculus with Applications in Statistics and Econometrics, 2nd Edition. John Wiley.
    Paper not yet in RePEc: Add citation now
  35. Min, C. and Zellner, A. (1993). Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates. Journal of Econometrics, 56:89–118.

  36. Mumtaz, H. and Theodoridis, K. (2016). The changing transmission of uncertainty shocks in the us: An empirical analysis. Journal of Business Economics and Statistics,forthcoming.
    Paper not yet in RePEc: Add citation now
  37. Pettenuzzo, D., Timmermann, A., and Valkanov, R. (2016). A midas approach to modeling first and second moment dynamics. Journal of Econometrics, 193(2):315 – 334. The Econometric Analysis of Mixed Frequency Data Sampling.

  38. Robert, C. P. and Casella, G. (1999). Monte Carlo Statistical Methods. Springer Verlag, New York.
    Paper not yet in RePEc: Add citation now
  39. Roberts, G. and Sahu, S. (1997). Updating schemes, covariance structure, blocking and parametrisation for the Gibbs sampler. Journal of the Royal Statistical Society, Series B, 59:291 – 318.

  40. Rodriguez, A. and Puggioni, G. (2010). Mixed frequency models: Bayesian approaches to estimation and prediction. International Journal of Forecasting, 26(2):293 – 311. Special Issue: Bayesian Forecasting in Economics.

  41. Rossi, B. and Sekhposyan, T. (2015). Macroeconomic Uncertainty Indices Based on Nowcast and Forecast Error Distributions. American Economic Review, 105(5):650–55.

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