11 to 17 of 17 Results
Feb 6, 2023
Giuliani, Marco, 2023, "Replication Data for: Retrospective voting in the Italian 2013 election: a sub-national perspective", https://doi.org/10.13130/RD_UNIMI/OTZTVK, UNIMI Dataverse, V1, UNF:6:ylKPG5Jxd1q+payeGCB00A== [fileUNF]
The Italian 2013 election ended the period of bipolarism that characterized the so-called “Second Republic”, and paved the way for new parties such as the M5S. We investigate that election, which took place after the technocratic government led by Mario Monti, through the analyti... |
Feb 2, 2023
Giuliani, Marco, 2023, "Replication Data for: Twelve Votes for an Exit: Compromise and Responsiveness in the Brexit Process", https://doi.org/10.13130/RD_UNIMI/NITBMJ, UNIMI Dataverse, V1, UNF:6:RpSaOSS2uULUSL5YonFkng== [fileUNF]
Dataset and code for the article "Twelve Votes for an Exit" It includes division data and electoral data. Brexit has been at the centre of the last two British elections and the past legislative term. The UK’s exit from the European Union was characterized by a series of parliame... |
Feb 2, 2023
Giuliani, Marco, 2023, "Replication Data for: Looking retrospectively at the 2018 Italian general election: the state of the economy and the presence of foreigners", https://doi.org/10.13130/RD_UNIMI/H9XRQC, UNIMI Dataverse, V1, UNF:6:oy75HzdNNwxpwfn0sfpwdQ== [fileUNF]
Municipal and provincial Italian electoral data 2018, together with economic and immigration data at the same level. Shapefiles dataset for maps and spatial regression models. Scholars agree that two major issues oriented voting behaviours during the Italian general election of 2... |
Feb 2, 2023
Giuliani, Marco, 2023, "Replication Data for: Voting between two global crises. A NUTS3-level analysis of retrospective voting in four South-European countries", https://doi.org/10.13130/RD_UNIMI/4WBROS, UNIMI Dataverse, V1, UNF:6:oPynw/J6zzdXUozS818gwA== [fileUNF]
Greece, Italy, Portugal and Spain went several times to the polls during the 2010-2019 decade. It was a period characterised by the strenuous effort to recover the economic situation before the onset of the Great Recession; an effort, however, often constrained by externally impo... |
Feb 2, 2023
Giuliani, Marco, 2023, "Replication Data for: What if? Using counterfactuals to evaluate the effects of structural labour market reforms: evidence from the Italian Jobs Act", https://doi.org/10.13130/RD_UNIMI/DGPOEU, UNIMI Dataverse, V1, UNF:6:UhEcOe5IBZ4qMsqKk2DbOg== [fileUNF]
The 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... |
Feb 1, 2023
Giuliani, Marco, 2023, "Replication Data for: COVID-19 counterfactual evidence. Estimating the effects of school closures", https://doi.org/10.13130/RD_UNIMI/ME0QQK, UNIMI Dataverse, V1, UNF:6:xK7xh0WyA7ehrAmmVgxkmA== [fileUNF]
Scholars have started to estimate the effects of non-pharmaceutical interventions to reduce the health impact of COVID-19. However, the empirical evidence is highly contested, and since it is not known exactly what would have happened without those measures, political élites are... |
Feb 1, 2023
Giuliani, Marco, 2023, "Replication Data for: Complying with anti-COVID policies. Subnational variations and their correlates", https://doi.org/10.13130/RD_UNIMI/NTQK6U, UNIMI Dataverse, V1, UNF:6:uxvmqXrLOnW0C8o5zT9+Og== [fileUNF]
Replication files and supplementary material for the RIPP article |
