When there are multiple outcome series of interest, Synthetic Control analyses typically proceed by estimating separate weights for each outcome. In this paper, we instead propose estimating a common set of weights across outcomes, by balancing either a vector of all outcomes or an index or...

Recently, there has been a growing interest in newly developed econometric tools to conduct counterfactual analysis when a treated unit experiences a policy intervention, and an artificial control group has to be constructed. Adopting novel penalized synthetic control methods, we quantify the...

This study aims to investigate the effectiveness of car scrappage schemes implemented in the European Union (EU) during the economic crisis of 2009. The study uses a synthetic control variable and a difference-in-differences method to evaluate these policies. Using monthly data on new passenger...