When long-distance relationships don't work out: Representational distance and satisfaction with democracy in Europe

We assess the impact of party representation on satisfaction with democracy. Our proposition is that such representation is not only about having a chosen party in government; citizens also derive satisfaction from having their views represented by a political party. We test this through an individual-level measure of policy (in)congruence: the ideological distance between a voter and his or her closest party. Via multi-level modelling of European Election Study data from 1989 to 2009, we find that perceived policy distance matters: the further away that voters see themselves from their nearest party – on either a left-right or a European unification policy dimension – the less satisfied they are with democracy. Notably, this effect is not moderated by party incumbency or size. Voters derive satisfaction from feeling represented by a nearby party even if it is small and out of office. Our results caution against a purely outcomes-driven understanding of democratic satisfaction.     

How to estimate the policy preferences of party supporters: Disaggregating data from voting advice applications versus modeling survey responses

Valid and reliable estimates of the policy preferences of political parties' supporters are essential for the study of political representation. However, such estimates are not directly available from standard surveys of public opinion, which are typically representative by design only at the national level and rarely ask questions about public support for specific policies. In this article, we explore the possibility to use data from voting advice applications (VAA) to estimate the policy preferences of party supporters. To do that, first, we identify 10 questions on preferences towards issues of public policy that were asked around the same time and with similar wording in traditional surveys of public opinion and in VAAs fielded in Germany and in the Netherlands. Then we compare the VAA data disaggregated by political affiliation of the respondents to the survey data adjusted via multilevel regression modeling with poststratification (MRP). We find strong positive correlations between the estimates derived from both methods, especially after weighting the VAA data. Yet, point estimates are not always very close, and the match is sensitive to the treatment of neutral and ‘don't know’ answers. Overall, our results bode well for the validity of using VAA data in empirical research on political representation.     

PTV gap: A new measure of party identification yielding monotonic partisan attitudes and supporting comparative analysis

Despite the cornerstone role of party identification for analyzing voting behavior in the United States, its measurement (in terms of the classic American National Electoral Studies – ANES – seven-point scale) is affected by a systematic problem of non-monotonicity, and it proved impossible to be directly applied outside the United States. We introduce a novel, complementary measurement approach aimed at addressing both problems. We test on US data (an expressly collected computer-assisted web interviewing survey dataset) a new, seven-point scale of partisanship constructed from PTV (propensity-to-vote) items, acting as projective devices for capturing partisan preferences, and routinely employed in multi-party systems. We show that a PTV-based (suitable for comparative analysis) seven-point scale of partisanship outperforms the classic ANES scale. Groups identified by the new scale show monotonic partisan attitudes, and the comparison of multivariate models of political attitudes testify significantly larger effects for the new scale, as well as an equal or higher predictive ability on a range of political attitudes.