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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... -
Immigration and anti-immigrant voting in the 2017 German parliamentary election
We empirically examine the relationship between immigration and votes for the Alternative für Deutschland (AfD) in the 2017 German parliamentary election. We conduct a... -
Quality of Politicians and Electoral System. Evidence from a Quasi-experiment...
We study the effect of the electoral system on the quality of politicians, measured by the average educational attainment, at the local level in Italy over the period 1994-2017.... -
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...
