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An efficient Bayesian approach to multiple structural change in multivariate ...
This paper provides a feasible approach to estimation and forecasting of multiple structural breaks for vector autoregressions and other multivariate models. Owing to conjugate... -
Estimating the distribution of welfare effects using quantiles (replication d...
This paper proposes a framework to model welfare effects that are associated with a price change in a population of heterogeneous consumers. The framework is similar to that of... -
Estimating global bank network connectedness (replication data)
We use LASSO methods to shrink, select, and estimate the high-dimensional network linking the publicly traded subset of the world's top 150 banks, 2003-2014. We characterize... -
Difference-in-differences when the treatment status is observed in only one p...
This paper considers the difference-in-differences (DID) method when the data come from repeated cross-sections and the treatment status is observed either before or after the... -
A sequential Monte Carlo approach to inference in multiple‐equation Markov‐sw...
Vector autoregressions with Markov-switching parameters (MS-VARs) offer substantial gains in data fit over VARs with constant parameters. However, Bayesian inference for MS-VARs...
