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Analysis of upstream, downstream and common firm shocks using a large factor-...
We provide all necessary code files to create networks using two different approaches as explained in the paper, as well as codes to compare and display the networks. Because of... -
Subspace shrinkage in conjugate Bayesian vector autoregressions (replication ...
For the empirical exercise we use quarterly macroeconomic data for the US, obtained from the FRED-QD database (https://research.stlouisfed.org/econ/mccracken/fred-databases/).... -
A comparison of approaches to select the informativeness of priors in BVARs
Vector autoregressions (VARs) are richly parameterized time series models that can capture complex dynamic interrelationships among macroeconomic variables. However, in small... -
Using a Bayesian Structural Time–Series Model to Infer the Causal Impact on C...
The Bayesian structural time series model, used in conjunction with a state–space model, is a novel means of exploring the causal impact of a policy intervention. It extends the...
