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This article investigates the long-term reaction of local labor markets (LLMs) to a mass layoff in a manufacturing plant. We adopt a non-parametric generalization of the difference-in-differences estimator expressly developed for time-series cross-sectional data and a new comprehensive dataset. Our results suggest that, on average, a mass layoff abruptly decreases industry employment by 22%; this negative impact is persistent even 9 years later. The shock has a negative and statistically significant effect only on the same industry of the affected LLM, while the rest of the local economy is, at most, mildly negatively affected. These findings depend on the initial level of development and call for the policymakers' intervention to design efficient employment policies aimed at reducing the long-lasting social costs of a mass layoff at least for the less developed and less dynamic local economies. [ABSTRACT FROM AUTHOR]

We propose a novel evaluation strategy to estimate local multipliers in Italy during 1996–2006. We find the presence of positive multipliers: 0.26–0.33 for the tradable sector (manufacturing) and 0.88–1.13 for the non-tradable sector (construction and services). They are lower than what was previously found for the United States but much higher than those identified for European and Asian countries. The reasons for this finding lie in the higher accuracy of the data, in the relevance of the instrument used, and in the widespread underutilization of production factors. [ABSTRACT FROM AUTHOR]

Are place-based policies capable of taking lagging areas to a higher growth trajectory permanently? We answer this crucial question by investigating what happens when strongly subsidized regions experience a substantial reduction in funding. By analysing an extensive database via the mean balancing approach, we estimate the causal impact of exiting the convergence region status of the European Union regional policy. We find that only regions that experienced a considerable reduction in funding during a recession suffered a negative impact on economic growth. However, the impact varies with the features of the regions and the local economic context. [ABSTRACT FROM AUTHOR]

What is the economic impact of joining a currency union? Is this impact heterogeneous across regions? And how does it change in case of a recession? We answer these questions by investigating the economic impact of joining the euro area for the latecomers, that is, the eastern European countries that adopted the euro after 2002. Differently from previous literature, we use NUTS‐2 regions as units of analysis. This novelty allows us to investigate the theoretical predictions of a currency union impact at a more appropriate geographical level. Using a recently developed counterfactual approach, we estimate the overall as well as the disaggregated impact of joining the euro area. We find that the adoption of the euro brought about a small positive effect, which was, however, dampened by the Great Recession. Individual regional estimates suggest heterogeneous returns with benefits accruing mostly to core regions. [ABSTRACT FROM AUTHOR]

We evaluate the effectiveness of the most extensive experiment of income redistribution, that is, the European Union regional policy, at a time of economic crisis. By exploiting geographical discontinuities in fund eligibility, we analyse comprehensive data on all publicly funded Italian projects at the municipality level. We find a positive impact of localized support to firms with a sizable increase in employment and the number of plants in intensively treated areas. The result is an important policy lesson concerning the effects of place-based policies at a time of a long-lasting recession, such as that engendered by the Covid-19 crisis. [ABSTRACT FROM AUTHOR]

To evaluate the effect of an R&D subsidy, one needs to know what the subsidized firms would have done without the incentive. This article studies an Italian program of subsidies for the applied development of innovations, exploiting a discontinuity in program financing due to an unexpected shortage of public money. To identify the effect of the program, the study implements a regression discontinuity design and compares firms that applied before and after the shortage occurred. The results indicate that the program was not effective in stimulating innovative investment. [ABSTRACT FROM AUTHOR]