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Addressing sample selection bias for machine learning methods (replication data)
Addressing sample selection bias for machine learning methods (replication data) Dylan Brewer and Alyssa Carlson Accepted at Journal of Applied Econometrics, 2023 Overview This... -
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... -
The incidence of agricultural subsidies on rental rates for grassland (replic...
This paper examines the impact of agricultural subsidies on rental rates for grassland. In theory, the capitalization of subsidies into grassland rents has become increasingly...
