Economics - Research Publications

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    An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series
    Song, Y ; Maheu, J (Wiley, 2018-03)
    This paper provides a feasible approach to estimation and forecasting of multiple structural breaks for vector autoregressions and other multivariate models. Owing to conjugate prior assumptions we obtain a very efficient sampler for the regime allocation variable. A new hierarchical prior is introduced to allow for learning over different structural breaks. The model is extended to independent breaks in regression coefficients and the volatility parameters. Two empirical applications show the improvements the model has over benchmarks. In a macro application with seven variables we empirically demonstrate the benefits from moving from a multivariate structural break model to a set of univariate structural break models to account for heterogeneous break patterns across data series.
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    Measuring Inflation Expectations Uncertainty Using High-Frequency Data
    Song, Y ; Chan, JCC (Wiley, 2018-09)
    Inflation expectations play a key role in determining future economic outcomes. The associated uncertainty provides a direct gauge of how well‐anchored the inflation expectations are. We construct a model‐based measure of inflation expectations uncertainty by augmenting a standard unobserved components model of inflation with information from noisy and possibly biased measures of inflation expectations obtained from financial markets. This new model‐based measure of inflation expectations uncertainty is more accurately estimated and can provide valuable information for policymakers. Using U.S. data, we find significant changes in inflation expectations uncertainty during the Great Recession.
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    The evolution of Ottoman–European market linkages, 1469–1914: Evidence from dynamic factor models
    Panza, L ; Li, Z ; Song, Y (Elsevier, 2019)
    This paper exploits data on a set of traded goods to undertake the first comprehensive empirical analysis of market integration between the Ottoman Empire and Europe from 1469 to 1914. Computing dynamic factor models via Bayesian inference, we overcome such data constraints as missing observations and a small sample size. The results of this analysis suggest that there were persistent market linkages until the first half of the 19th century, followed by a decline in price convergence. We also find that the intensity of Ottoman–European conflict had a negative effect on integration, especially during the 1844–1914 period.