10.13130/RD_UNIMI/DGPOEUGiuliani, MarcoMarcoGiuliani0000-0002-6927-7177University of MilanoUNIMI Dataverse2023Social SciencesLabour marketUnemploymentSegmentationCounterfactualGiuliani, MarcoMarcoGiulianiUniversity of Milano2023-02-022023-02-06930321748text/tab-separated-valuesapplication/x-stata-syntax1.1CC0 WaiverThe Dataset and code replicates the evaluation of the Jobs Act using the synthetic research method cointained in the article. The article assesses the impact of the Jobs Act, the structural labour market reform passed in Italy under Matteo Renzi’s cabinet in 2014-2015. After the downturns of the Great Recession, the major goal of this flagship initiative was to boost overall employment performance while reducing labour market segmentation and enhancing more stable job opportunities for labour market outsiders, especially among younger cohorts and women. Our empirical investigation relies on an innovative approach, namely, the synthetic control method, which allows us to estimate what would have happened if the Jobs Act had not been introduced. Comparing real-world observations for a number of key employment indicators with their estimated synthetic counterfactuals, we find that the Jobs Act did not fulfil its expectations; over the past five years, no significant effects were driven by the reform, which may even have led to an increase in labour market segmentation.