References
- Albert, J., and Chib, S. (1993), “Bayes Inference via Gibbs Sampling of Autoregressive Time Series Subject to Markov Mean and Variance Shifts,” Journal of Business and Economic Statistics, 11, 1–15. DOI: https://doi.org/10.2307/1391303.
- Bensmail, H., Celeux, A., Raftery, E., and Robert, C. (1997), “Inference in Model-Based Cluster Analysis,” Statistics and Computing, 7, 1–10. DOI: https://doi.org/10.1023/A:1018510926151.
- Bry, G., and Boschan, C. (1971), Cyclical Analysis of Time Series: Procedures and Computer Programs, New York: National Bureau of Economic Research.
- Burns, A., and Mitchell, W. (1946), Measuring Business Cycles, New York: National Bureau of Economic Research.
- Business Cycle Dating Committee (2010), “Determination of the June 2009 Trough in Economic Activity,” National Bureau of Economic Research, available at http://www.nber.org/cycles/sept2010.html.
- Chauvet, M., and Piger, J. (2008), “A Comparison of the Real-Time Performance of Business Cycle Dating Methods,” Journal of Business and Economic Statistics, 26, 42–49. DOI: https://doi.org/10.1198/073500107000000296.
- Chib, S. (1996), “Calculating Posterior Distribution and Model Estimates in Markov Mixture Models,” Journal of Econometrics, 68, 339–360. DOI: https://doi.org/10.1016/0304-4076(94)01653-H.
- Chib, S. (1998), “Estimation and Comparison of Multiple Change-Point Models,” Journal of Econometrics, 86, 221–241.
- Frühwirth-Schnatter, S. (2001), “Markov Chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models,” Journal of the American Statistical Association, 96, 194–209. DOI: https://doi.org/10.1198/016214501750333063.
- Frühwirth-Schnatter, S. (2004), “Estimating Marginal Likelihoods for Mixture and Markov Switching Models Using Bridge Sampling Techniques,” The Econometrics Journal, 7, 143–167.
- Frühwirth-Schnatter, S. (2006), Finite Mixture and Markov Switching Models, Springer Series in Statistics, New York, NY: Springer.
- Giusto, A., and Piger, J. (2017), “Identifying Business Cycle Turning Points in Real Time With Vector Quantization,” International Journal of Forecasting, 33, 174–184. DOI: https://doi.org/10.1016/j.ijforecast.2016.04.006.
- Hamilton, J. (1989), “A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycles,” Econometrica, 57, 357–384. DOI: https://doi.org/10.2307/1912559.
- Hamilton, J. (2011), “Calling Recessions in Real Time,” International Journal of Forecasting, 27, 1006–1026.
- Harding, D., and Pagan A. 2002 “Dissecting the Cycle: A Methodological Investigation.” Journal of Monetary Economics, 49, 365–381. DOI: https://doi.org/10.1016/S0304-3932(01)00108-8.
- Harding, D., and Pagan A. (2006), “Synchronization of Cycles,” Journal of Econometrics, 132, 59–79.
- Harding, D., and Pagan A. (2016), The Econometric Analysis of Recurrent Events in Macroeconomics and Finance, Princeton, NJ: Princeton University Press.
- Kass, R., and Raftery, A. (1995), “Bayes Factors,” Journal of the American Statistical Association, 90, 773–795. DOI: https://doi.org/10.1080/01621459.1995.10476572.
- Kliesen, K. (2003), “The 2001 Recession: How Was It Different and What Developments May Have Caused It?,” Federal Reserve Bank of St. Louis Review, pp. 23–37. DOI: https://doi.org/10.20955/r.85.23-38.
- Koop, G., and Potter, S. (2007), “Estimation and Forecasting in Models With Multiple Breaks,” Review of Economic Studies, 74, 763–789. DOI: https://doi.org/10.1111/j.1467-937X.2007.00436.x.
- Robert, C. (1996), “Mixtures of Distributions: Inference and Estimation,” in Markov Chain Monte Carlo in Practice, eds. W. Gilks, S. Richardson, and D. Spiegelhalter, London: Chapman and Hall.
- Stock, J., and Watson, M. (2010a), “Indicators for Dating Business Cycles: Cross-History Selection and Comparisons,” American Economic Review: Papers and Proceedings, 100, 16–19. DOI: https://doi.org/10.1257/aer.100.2.16.
- Stock, J., and Watson, M. (2010b), “New Indexes of Monthly GDP,” available at http://www.princeton.edu/∼mwatson/mgdp_gdi.html.
- Stock, J., and Watson, M. (2014), “Estimating Turning Points Using Large Data Sets,” Journal of Econometrics, 178, 368–381.
- Watson, M. (1994), “Business-Cycle Durations and Postwar Stabilization of the US Economy,” American Economic Review, 84, 24–46.