Resilience, exposure and transferability are the most common explanations of immigrant political mobilisation in the context of the host society. They are based on assumptions about socialisation and institutionalisation, which are common to native-born groups as well. They lead to hypotheses about the impact of ‘cultures of voting turnout.’ This paper tests these hypotheses through cross-classified multilevel logistic regression analysis of immigrants' voting intentions. The method is new to the analysis of voting behaviour, and allows the comparison of immigrants of multiple origin groups in multiple host countries. This paper provides support for exposure effects: living in a society where most people cast ballots in national elections increases the odds that immigrants are willing to vote. Transferability is not evident, as coming from a culture of high turnout actually lowers the probability of voting. Such impact is not mediated by the length of stay or by the political opportunity structure specific to immigrants, but is stronger in systems of compulsory voting.

In this article, the authors offer a comprehensive review of the item count technique (ICT) and a detailed application of the method in voter turnout drawing on a three-wave national panel survey. They critically discuss the methodological and practical problems occurring throughout the implementation of ICT design in a survey research. Furthermore, the authors use ICT to estimate the social desirability bias in self-reported turnout and to evaluate the effectiveness of using ICT to reduce turnout over-reporting and to estimate the real turnout. Results align to the expected direction: By using ICT, the estimation of self-reported turnout is reduced by about 10%. Moreover, social desirability bias varies with respondents’ socio-demographic characteristics.

According to official data, Romanian voter turnout decreased by half for the period 1990-2012. Gaps between official and self-reported turnout are larger than those from similar countries. Starting with these findings, this paper questions the official data regarding turnout and brings evidence that turnout in Romanian elections is increasingly underestimated. Three factors are responsible for this: the quality of the electoral registers, ineligible voters and emigration. The effect of these factors grew over time inducing the idea that turnout is sharply decreasing. In fact, the decrease is less pronounced, and most of it took place between 1990 and 2000. In the last part, I discuss the implications of the findings in three domains: theoretical debates, methodological and practical issues.

Established in 1991 as a European initiative to enhance innovation in rural areas, the LEADER programme became an important tool for the spread of sustainable local development actions in almost all regions of the EU. In Romania, although the programme has generated the implementation of many successful local projects since 2007, quantitative evaluations of its socio-economic impact are extremely limited. The aim of this paper is to evaluate whether LEADER funding has had any effect on the eligible territory of Romania, using multiple linear regression analysis with the evolution of demographic and socio-economic indicators for the 2017–2023 period. The results show that, over a certain amount of euros/capita absorbed from LEADER at the administrative level (UAT), the positive dynamics of the statistical indicators is confirmed. This analysis represents quantitative proof of the LEADER programme’s added value, maintaining or increasing its European role in the future as a sustainable policy directed towards communities.

Turnout decline in former communist countries has attracted a great deal of scholarly attention. In this paper, I re-test some of the previous hypotheses on new data and I propose a new hypothesis that considers the impact of external migration. Using multivariate regression models on a dataset of 272 presidential and parliamentary elections held in 30 post-communist countries between 1989 and 2012, I have found strong support for the “migration hypothesis”: other things being equal, an increase of migration rate by 1 percentage point reduces voter turnout by around 0.4 percentage points. Most of the previous hypotheses related to causes of turnout decline are supported too.

This article explores the extent to which the observable characteristics of political leaders influence the magnitude of electoral personalisation in the new democracies of Central and Eastern Europe. Using CSES data, it analyses 18 legislative elections spanning 16 years of postcommunism, providing strong evidence that personalisation is relevant and widespread in the region and arguing that the electoral context is relevant for how leader characteristics affect personalisation. Some characteristics stimulate leader effects (age, executive experience, tenure as party chair), while others confine them (being an anti-communist dissident), have ambiguous (being a former communist leader) or no effects (gender, incumbency, time in office).