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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...
