This paper is concerned with ex ante and ex post counterfactual analyses in the case of macroeconometric applications where a single unit is observed before and after a given policy intervention. It distinguishes between cases where the policy change affects the model's parameters and where it...

The present work discusses possible methodological approaches for the assessment of employment effects of rural development measures. A special focus is on measures of the so called integrated rural development. Methods that are considered non-appropriate are considered nevertheless. Therefore,...

The COVID-19 pandemic raised the share of inactive individuals in 2020 in Italy, mostly at the expense of permanent and fix-term employment. We document sizable asymmetric effects across categories of individuals, defined on the basis of gender, age and geographical area. In particular, the...

Epidemics invite “pariah-tization.” By this, I mean the process of stigmatizing one marginalized and impotent segment of society as being the group most vulnerable to the disease at hand- without reliable scientific basis. Doing so allows those in power, the young, the rich, the...

Program evaluations often focus on average treatment effects. However, average treatment effects miss important aspects of policy evaluation, such as the impact on inequality and whether treatment harms some individuals. A growing literature develops methods to evaluate such issues by examining...

We illustrate the sensitivity of two-way fixed effects difference-indifferences estimates to innocuous changes in data structure. Using the staggered rollout of state-level bank branching deregulations, three outcome variables are brought to bear on the interventions: personal income growth (a...

We propose a new algorithm for estimating treatment effects in contexts where the exogenous variation comes from aggregate time-series shocks. Our estimator combines data-driven unit-level weights with a time-series model. We use the unit weights to control for unobserved aggregate confounders...

The possibility of reoccurring waves of the novel coronavirus that triggered the 2020 pandemic makes it critical to identify underlying policy-relevant factors that could be leveraged to decrease future COVID-19 death rates. We examined variation in a number of underlying, policy-relevant,...

This work reviews the principal econometric methods used to measure the effects of public R&D subsidies on firm performance. First, we show the main econometric challenges a researcher has to face in estimating the impact of a government policy scheme, by paying special attention to the issues...

This paper is concerned with ex ante and ex post counterfactual analyses in the case of macroeconometric applications where a single unit is observed before and after a given policy intervention. It distinguishes between cases where the policy change affects the model's parameters and where it...