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Trend-Cycle Decomposition and Forecasting Using Bayesian Multivariate Unobserved Components. (2024). Jahan-Parvar, Mohammad ; Szerszen, Pawel J ; Knipp, Charles.
In: Finance and Economics Discussion Series.
RePEc:fip:fedgfe:2024-100.

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  1. Amisano, G., Geweke, J., 2017. Prediction using several macroeconomic models. The Review of Economics and Statistics 99, 912–925.

  2. Andreou, E., Ghysels, E., Kourtellos, A., 2013. Should macroeconomic forecasters use daily financial data and how? Journal of Business & Economic Statistics 31, 240–251.

  3. Andrieu, C., Doucet, A., Holenstein, R., 2010. Particle Markov Chain Monte Carlo Methods. Journal of the Royal Statistical Society Series B (Statistical Methodology) 72, 269–342.

  4. Barigozzi, M., Luciani, M., 2023. Measuring the Output Gap using Large Datasets. The Review of Economics and Statistics 105, 1500–1514.

  5. Baxter, M., King, R.G., 1999. Measuring business cycles: Approximate band-pass filters for economic time series. the Review of Economics and Statistics 81, 575–593.

  6. Beveridge, S., 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.

  7. Chopin, N., Jacob, P.E., Papaspiliopoulos, O., 2013. SMC2: An efficient algorithm for sequential analysis of state-space models. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 75, 397–426.
    Paper not yet in RePEc: Add citation now
  8. Clark, T.E., 2011. Real-time density forecasts from bayesian vector autoregressions with stochastic volatility. Journal of Business & Economic Statistics 29, 327–341.

  9. Dobrev, D., Hansen, D., Szerszen, P., 2022. A randomized missing data approach to robust filtering and forecasting. URL: https://arxiv.org/abs/2104.14664, arXiv:2104.14664.
    Paper not yet in RePEc: Add citation now
  10. Duan, J.C., Fulop, A., 2015. Density-Tempered Marginalized Sequential Monte Carlo Samplers. Journal of Business & Economic Statistics 33, 192–202.

  11. González-Astudillo, M., 2019a. Estimating the U.S. output gap with state-level data. Journal of Applied Econometrics 34, 795–810.
    Paper not yet in RePEc: Add citation now
  12. González-Astudillo, M., 2019b. An output gap measure for the euro area: Exploiting country-level and cross-sectional data heterogeneity. European Economic Review 120, 103301.

  13. Grant, A.L., Chan, J.C., 2017. A Bayesian Model Comparison for Trend-Cycle Decompositions of Output. Journal of Money, Credit and Banking 49, 525–552.
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  14. Hamilton, J.D., 2018. Why you should never use the hodrick-prescott filter. the Review of Economics and Statistics 100, 831–843.

  15. Harvey, A.C., 1985. Trends and cycles in macroeconomic time series. Journal of Business & Economic Statistics 3, 216–227.

  16. Harvey, A.C., Trimbur, T.M., 2003. General model-based filters for extracting cycles and trends in economic time series. the Review of Economics and Statistics 85, 244–255.

  17. Jahan-Pavar, M.R., Lang, W.J., 2024. Which daily equity returns improve output forecasts? Economics Letters 243, 111897.

  18. Justiniano, A., Primiceri, G.E., Tambalotti, A., 2013. Is there a trade-off between inflation and output stabilization? American Economic Journal: Macroeconomics 5, 1–31.

  19. Kamber, G., Morley, J.C., Wong, B., 2018. Intuitive and Reliable Estimates of the Output Gap from a Beveridge-Nelson Filter. The Review of Economics and Statistics 100, 550–566.

  20. Li, M., Koopman, S.J., 2021. Unobserved components with stochastic volatility: Simulation-based estimation and signal extraction. Journal of Applied Econometrics 36, 614–627.

  21. Morley, J.C., 2011. The two interpretations of the beveridge-nelson decomposition. Macroeconomic Dynamics 15, 419–439.

  22. Morley, J.C., Nelson, C.R., Zivot, E., 2003. Why Are the Beveridge-Nelson and UnobservedComponents Decomposition of GDP so Different? the Review of Economics and Statistics 85, 235–243.
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  23. Panovska, I., Ramamurthy, S., 2022. Decomposing the output gap with inflation learning. Journal of Economic Dynamics and Control 136, 104327.

  24. Shackleton, R., 2018. Estimating and Projecting Potential Output Using CBO’s Forecasting Growth Model. Technical Report Working Paper 2018-03. Congressional Budget Office. Washington, D.C. Stock, J.H., Watson, M.W., 2007. Why Has U.S. Inflation Become Harder to Forecast? Journal of Money, Credit and Banking 39, 3–33.

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