Academia.eduAcademia.edu

Figure 3 – uploaded by Pierre Van Wolleghem

See full PDFdownloadDownload figure
*€* 9<0.01; **p<0.05; *p<0.1. Table 3: Vote for far right (%) parties in Italy, Between and Within effects, 2001-2018.

Table 3 *€* 9<0.01; **p<0.05; *p<0.1. Table 3: Vote for far right (%) parties in Italy, Between and Within effects, 2001-2018.

Related Figures (6)

Figure 1: Distribution of votes between parties within the far-right (%) and total score for the far-right (%) for the Lower Chamber, 2001-2018. Nota: smallest parties are represented but their label is not displayed.
Figure 1: Distribution of votes between parties within the far-right (%) and total score for the far-right (%) for the Lower Chamber, 2001-2018. Nota: smallest parties are represented but their label is not displayed.
Figure 2: Distribution of votes between parties within the far-right (%) and total score for the far-right (%) for the Senate, 2001-2018. Nota: smallest parties are represented but their label is not displayed.
Figure 2: Distribution of votes between parties within the far-right (%) and total score for the far-right (%) for the Senate, 2001-2018. Nota: smallest parties are represented but their label is not displayed.
Figure 3: Vote for the far-right in Italian elections for the two Chambers, 2001-2018 (% and standard deviation). Source: authors’ elaboration on Italian Interior Ministry data. The name of the regions is signalled with the first two letters of their name, except for Campania for which the two letters are CM.
Figure 3: Vote for the far-right in Italian elections for the two Chambers, 2001-2018 (% and standard deviation). Source: authors’ elaboration on Italian Interior Ministry data. The name of the regions is signalled with the first two letters of their name, except for Campania for which the two letters are CM.
Figure 4: Vote for the far-right for the two Chambers and share of foreigners in the Italian regions, 2001-2018 (%). Source: authors’ elabora- tion on Italian Interior Ministry and Istat data
Figure 4: Vote for the far-right for the two Chambers and share of foreigners in the Italian regions, 2001-2018 (%). Source: authors’ elabora- tion on Italian Interior Ministry and Istat data
Table 1: Descriptive statistics. The data is collected from different sources. Data on election outcomes is taken from the Italian Ministry of the Interior’s archive.’ In order to calculate the share of votes for the far-right, all the lists and/or parties that received ballots from 2001 to 2018 have been carefully categorized and pooled together.’° The data regarding foreigners’ settlement is drawn from municipalities’ official registers. Because these register people moving in and, less consistently, people moving out, the share of migrants within regions is likely overestimated. We consider that using such data is still more suitable than resorting to IV as it accounts for a trend in foreigner settlement that is confirmed by occasional census data." In addition to that, the data register the movement of foreigners in a given municipality at a given time, which is likely to affect behaviors. Beside our main variables of interest, we also control for alternative explanations such as the economic and unemployment trends, demographic changes and region size”. We also provide estimates of time fixed effects to control the effect of external shocks, notably the absorption of AN into Berlusconi’s party and the scandal over the misuse of Lega Nord’s funds by ex-party leader Umberto Bossi (Passarelli and Tuorto 2018).
Table 1: Descriptive statistics. The data is collected from different sources. Data on election outcomes is taken from the Italian Ministry of the Interior’s archive.’ In order to calculate the share of votes for the far-right, all the lists and/or parties that received ballots from 2001 to 2018 have been carefully categorized and pooled together.’° The data regarding foreigners’ settlement is drawn from municipalities’ official registers. Because these register people moving in and, less consistently, people moving out, the share of migrants within regions is likely overestimated. We consider that using such data is still more suitable than resorting to IV as it accounts for a trend in foreigner settlement that is confirmed by occasional census data." In addition to that, the data register the movement of foreigners in a given municipality at a given time, which is likely to affect behaviors. Beside our main variables of interest, we also control for alternative explanations such as the economic and unemployment trends, demographic changes and region size”. We also provide estimates of time fixed effects to control the effect of external shocks, notably the absorption of AN into Berlusconi’s party and the scandal over the misuse of Lega Nord’s funds by ex-party leader Umberto Bossi (Passarelli and Tuorto 2018).
Table 2: Vote for far right (%) parties in Italy, 2001-2018. *** 9<0.01; **p<0.05; *p<0.1. Std. errors in parenthesis.
Table 2: Vote for far right (%) parties in Italy, 2001-2018. *** 9<0.01; **p<0.05; *p<0.1. Std. errors in parenthesis.
Related topics:
Public OpinionPolitical ScienceExtreme and Far RightImmigration PolicyRight Wing Extremism
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved