I investigate causal machine learning (CML) methods to estimate effect heterogeneity by means of conditional average treatment effects (CATEs). In particular, I study whether the estimated effect heterogeneity can provide evidence for the theoretical labour supply predictions of Connecticut's...

Despite large-scale governmental efforts to combat homelessness, homelessness rates can only be reduced but not eliminated completely by the measures usually applied. Hence, there is an obvious need to investigate additional factors which contribute to homelessness and gain insights on how to...

Throughout its history, Romania has gone through many crises in many sectors of the society. The premise, for the present situation, is that the reaction to a total crisis arising from a health problem, is being investigated. The consequences for the economy are still for analysis, but from now...