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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Spatial analysis of economic and social determinants of vote: The case of the European Parliament and Constitutional referendum votes in Italy |
Identification Number: |
doi:10.7910/DVN/AXF9S3 |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2024-09-16 |
Version: |
1 |
Bibliographic Citation: |
Truglia, Francesco Giovanni; Zeli, Alessandro, 2024, "Replication Data for: Spatial analysis of economic and social determinants of vote: The case of the European Parliament and Constitutional referendum votes in Italy", https://doi.org/10.7910/DVN/AXF9S3, Harvard Dataverse, V1, UNF:6:Ige+YlMwpXkGF5/EZVRWIA== [fileUNF] |
Citation |
|
Title: |
Replication Data for: Spatial analysis of economic and social determinants of vote: The case of the European Parliament and Constitutional referendum votes in Italy |
Identification Number: |
doi:10.7910/DVN/AXF9S3 |
Authoring Entity: |
Truglia, Francesco Giovanni (ISTAT) |
Zeli, Alessandro (ISTAT) |
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Distributor: |
Harvard Dataverse |
Access Authority: |
Zeli, Alessandro |
Depositor: |
Zeli, Alessandro |
Date of Deposit: |
2019-06-26 |
Holdings Information: |
https://doi.org/10.7910/DVN/AXF9S3 |
Study Scope |
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Keywords: |
Social Sciences, Voting behavior, Elections, Political economy, Italy, Political parties |
Abstract: |
The 2014 European Parliament election and the 2016 Constitutional Referendum in Italy occurred in the middle of two general elections. These votes, taking place respectively at the beginning and the end of the government led by Matteo Renzi of the Democratic Party (PD) , represented a public test of the PD leadership. The election results were diverse in many respects, but they replicate social, economic, political and cultural differences. In particular, between the two electoral exercises the differential electoral behaviour of South compared with the rest of the country is deepened. Moreover, the results can be interpreted as the outcome of differences in age, educational levels, social and economic unrest; all these variables are synthesized by the territorial distribution of the vote and this helps in interpreting the evolution of political sentiment in Italy. A spatial statistics methodology is utilized to analyze votes by means of their territorial distributions. The outcomes indicate that referendum result was influenced by the economic vote. Apart from the substance of the constitutional reform, the referendum result can be traced back to economic factors: the absence of perceived economic improvements and the persistence of high unemployment. |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Truglia FG, Zeli A (2020). Spatial analysis of economic and social determinants of vote: the case of the European Parliament and constitutional referendum votes in Italy. Italian Political Science Review/Rivista Italiana di Scienza Politica 50, 173–190. https://doi.org/10.1017/ipo.2019.29 |
Identification Number: |
10.1017/ipo.2019.29 |
Bibliographic Citation: |
Truglia FG, Zeli A (2020). Spatial analysis of economic and social determinants of vote: the case of the European Parliament and constitutional referendum votes in Italy. Italian Political Science Review/Rivista Italiana di Scienza Politica 50, 173–190. https://doi.org/10.1017/ipo.2019.29 |
File Description--f3455473 |
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File: dataset_EU_R.tab |
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Notes: |
UNF:6:Ige+YlMwpXkGF5/EZVRWIA== |
List of Variables: |
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Variables |
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f3455473 Location: |
Summary Statistics: Min. 2.0; StDev 2349.0838198663437; Mean 4082.180721276209; Valid 7459.0; Max. 8092.0; Variable Format: numeric Notes: UNF:6:hQ64cg+uRzlv0mlSH1GeZA== |
f3455473 Location: |
Summary Statistics: StDev 6.394893407569224; Max. 20.0; Valid 7459.0; Mean 8.695937793270508; Min. 1.0 Variable Format: numeric Notes: UNF:6:edUlJy3SMzq3qGIFsrPFuw== |
f3455473 Location: |
Summary Statistics: StDev 32.54172313499239; Mean 45.28489073602568; Valid 7459.0; Max. 110.0; Min. 1.0 Variable Format: numeric Notes: UNF:6:kueRa2+w4ImAsLgU1Shyeg== |
f3455473 Location: |
Summary Statistics: StDev 32519.5182816047; Valid 7459.0; Min. 1001.0; Mean 45346.62515082363; Max. 110010.0; Variable Format: numeric Notes: UNF:6:xogal26ijafKo0cz7WTcpw== |
f3455473 Location: |
Variable Format: character Notes: UNF:6:HsuIC8IMBrZYst+21zIDWA== |
f3455473 Location: |
Summary Statistics: Valid 7459.0; Min. 1566.30361831; Max. 332527.088819; Mean 31993.466939027054; StDev 21442.550772966984 Variable Format: numeric Notes: UNF:6:oXS95NQ3qaTxNvWdOHk5Gg== |
f3455473 Location: |
Summary Statistics: Max. 1.28741132762E9; Mean 3.720180965606206E7; Min. 120613.967719; Valid 7459.0; StDev 5.014262630702231E7 Variable Format: numeric Notes: UNF:6:a3ONt4zC1WQmD1Q6ihTvcw== |
f3455473 Location: |
Summary Statistics: Max. 0.179466; Valid 7459.0; Min. 0.0; StDev 0.020144687816698648; Mean 0.0955596680520177 Variable Format: numeric Notes: UNF:6:ma6+WIEJGv40QM+GPrrTmQ== |
f3455473 Location: |
Summary Statistics: StDev 0.01015107346908778; Valid 7459.0; Max. 0.104651; Min. 0.0; Mean 0.044506139428877864; Variable Format: numeric Notes: UNF:6:njS9nUlJNTCfAxOlfZof3w== |
f3455473 Location: |
Summary Statistics: Max. 0.274739; Valid 7459.0; Mean 0.07288412025740716; Min. 0.0; StDev 0.027267983626559966 Variable Format: numeric Notes: UNF:6:DURkdrCvR6IKj/Zp2EmhIA== |
f3455473 Location: |
Summary Statistics: Mean 0.3414854839790857; StDev 0.06332854804987002; Min. 0.102564; Max. 0.614907; Valid 7459.0 Variable Format: numeric Notes: UNF:6:Spoqt9dbgwRAs2YAqNVaEg== |
f3455473 Location: |
Summary Statistics: StDev 0.03793662300793393; Min. 0.0; Valid 7459.0; Mean 0.07063152674621259; Max. 0.293706; Variable Format: numeric Notes: UNF:6:FLl1/ewMrkRySLDZRr1I2g== |
f3455473 Location: |
Summary Statistics: StDev 0.04444789159896112; Mean 0.08523293511194534; Valid 7459.0; Min. 0.0; Max. 0.444444 Variable Format: numeric Notes: UNF:6:uqK0ss80sxQfTlhvQ8XbVw== |
f3455473 Location: |
Summary Statistics: StDev 0.0418331144306557; Min. 0.0; Mean 0.05779083416007512; Valid 7459.0; Max. 0.275753; Variable Format: numeric Notes: UNF:6:b39AWDPEwffd0xoiuDUoMw== |
f3455473 Location: |
Summary Statistics: Mean 0.01650750891540419; StDev 0.020170403714566562; Valid 7459.0; Min. 0.0; Max. 0.288043; Variable Format: numeric Notes: UNF:6:CTY5YfrWHAv6BfeNOkHGyA== |
f3455473 Location: |
Summary Statistics: Valid 7459.0; Max. 506193.0; StDev 8027.552679414018; Mean 1424.1360772221415; Min. 1.0; Variable Format: numeric Notes: UNF:6:JqTAgdC1zgWhiUpI5z+oPQ== |
f3455473 Location: |
Summary Statistics: Valid 7459.0; Mean 3486.806140233258; StDev 18338.255668213387; Max. 1175229.0; Min. 24.0 Variable Format: numeric Notes: UNF:6:1+0ir7B+bux5/b75cFRwUw== |
f3455473 Location: |
Summary Statistics: Max. 2311813.0; Min. 35.0; Mean 6280.202171872801; StDev 34958.96535448895; Valid 7459.0; Variable Format: numeric Notes: UNF:6:fBgshmuR05LV2SUMb4pFmQ== |
f3455473 Location: |
Summary Statistics: Mean 3677.8069446306727; Min. 26.0; StDev 18863.499118682474; Valid 7459.0; Max. 1201878.0; Variable Format: numeric Notes: UNF:6:5yMTDkBgrik3oAJuuUYGXQ== |
f3455473 Location: |
Summary Statistics: Max. 2092633.0; Valid 7459.0; Min. 29.0; Mean 5959.0077758412535; StDev 32546.739387626814 Variable Format: numeric Notes: UNF:6:gwLl6GAdCvqaiGprJ4G6yQ== |
f3455473 Location: |
Summary Statistics: Min. 21.0; Valid 7459.0; Max. 1461321.0; StDev 22311.770656711287; Mean 4076.8257139026396; Variable Format: numeric Notes: UNF:6:U9rKZLGSTYCHOepDz/jucg== |
f3455473 Location: |
Summary Statistics: Mean 1614.9796219332452; Max. 589049.0; Valid 7459.0; Min. 2.0; StDev 9374.67648406422 Variable Format: numeric Notes: UNF:6:orJ2tSO7tyCCpjuHjPQzNA== |