To internalize pollution externalities into household waste generation, Unit Pricing Systems (UPS) have been adopted worldwide. This paper evaluates the causal effects of a UPS on the disposal of municipal solid waste in Trento, Italy. To account for policy endogeneity due to unobservables, we employ the synthetic control method on a unique panel of monthly waste generation. Our results show that the policy was effective, with a significant decrease of the priced waste stream, unsorted waste, by 37.5%. This effect seems to be largely driven by behavioral changes towards waste avoidance (−8.6%) and a minor increase in recycling (+6.1%).
To internalize pollution externalities into household waste generation, Unit Pricing Systems (UPS) have been adopted worldwide. This paper evaluates the causal effects of a UPS on the disposal of municipal solid waste in Trento, Italy. To account for policy endogeneity due to unobservables, we employ the synthetic control method on a unique panel of monthly waste generation. Our results show that the policy was effective, with a significant decrease of the priced waste stream, unsorted waste, by 37.5%. This effect seems to be largely driven by behavioral changes towards waste avoidance (−8.6%) and a minor increase in recycling (+6.1%).
In the 2011 post-Arab Spring migration wave, over 64,000 migrants landed on the southern Italian coast, with many of them potentially working illegally on farms through caporalato, a widespread system of illegal recruitment of underpaid farm labor run by Italian agrimafias. To test this hypothesis, this paper evaluates the causal effects of the 2011 migration wave on reported labor productivity focusing on vineyards in southern Italy. Based on a dynamic panel data model, labor productivity is estimated to increase by about 11% on average for 2011 and 2012. We show that this corresponds to a total of around 10 million unreported work hours, or 21,000 full-time employees, in each year. We interpret this as an increase in employment of illegal workforce due to the migration wave. Magnitude, direction, and statistical significance of the effect are confirmed under various model specifications and using synthetic control and post-lasso approaches.
With more than ten thousand casualties, the ongoing hybrid Ukrainian war between pro-Russian separatists and the government in the Donbass region, Ukraine's productive core, has taken a severe toll on the country. Using cross-country panel data over the period 1995-2017, this paper estimates the causal effects of the Donbass war on Ukraine's GDP. Our counterfactual estimation by the synthetic control method shows that Ukraine's per capita GDP foregone due to the war amounts to 15.1% on average for 2013-2017. Separate analysis for the affected regions of Donetsk and Luhansk indicates an average causal effect of 47% for 2013-2016. Results are robust to pre-war confounds, namely, the Orange Revolution and Ukrainian-Russian gas disputes. As such, we discuss mechanisms underlying the war's causal effects on economic performance, which is of broader relevance for debates on the role of government in hybrid conflict management.
With more than ten thousand casualties, the 2014 Ukrainian war between pro-Russian separatists and the government in the Donbass region, Ukraine's productive core, has taken a severe toll on the country. Using crosscountry panel data over the period 1995-2017, this paper quantifies the short-term causal effects of the Donbass war on Ukraine's GDP. Results from the counterfactual estimation by the synthetic control method show that Ukraine's per capita GDP foregone due to the war amounts to 15.1% on average for 2013-2017. Separate analysis for the affected provinces of Donetsk and Luhansk indicate an average causal effect of 43% for 2013-2016. Confoundedness checks obtained by iteratively estimating synthetic controls on the prewar period to account for previous Ukrainian-Russian disputes show robustness of the results.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.