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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... -
A high-dimensional multinomial logit model (replication data)
The number of parameters in a standard multinomial logit model increases linearly with the number of choice alternatives and number of explanatory variables. Since many modern... -
Nonlinearities in macroeconomic tail risk through the lens of big data quanti...
Modeling and predicting extreme movements in GDP is notoriously difficult and the selection of appropriate covariates and/or possible forms of nonlinearities are key in... -
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...
