Under Review
How Growing Climate Concern Erodes Political Support (with David Schweizer)(Presented: DVPW AK Umwelt Tagung 2023 & EPSA 2023)
Abstract
Political support is an important foundation of system stability. We argue, increasing concerns about any issue can erode said support under two conditions: high issue salience and perceived government responsibility.
We evaluate this argument using nine different concerns, focusing in-depth on the currently important issue of climate change. Applying random-effects-within-between models to German panel data from 2010 to 2021, we show that increases in all studied concerns are causally linked to declining democratic satisfaction. This addresses an important blind spot in existing research that focuses predominantly on economic concerns.
For climate change concern, the main effect is clearly driven by the most recent waves, where it affects democratic satisfaction even stronger than material concern changes. For citizens with an arguably higher climate salience, stable Green partisans and post-materialists, the negative effect is amplified. We conclude that the climate crisis is increasingly putting pressure on the foundation of democratic systems.
A Case of Strategic Issue Emphasis: Comparing easy-read and regular manifestos using NLP (with Lukas Isermann & Julius Diener)
(Presented: MZES-Workshop “Current Perspective in Party Politics” 2024 & CompText 2023)
Abstract
In this paper we demonstrate that political parties in Germany systematically alter their issue emphasis in easy-read manifestos (ERMs) compared to regular manifestos. We argue parties face an incentive to ‘ride the wave’ by over-emphasizing the issues most salient in the ERMs’ target audience: citizens with disabilities and those struggling with complex language.
Applying natural language processing on 62 ERMs from five parties we find substantial distortions in the communicated political priorities. While welfare-related issues are, on average, over-emphasised by 10 %-points, economic issues are de-emphasised. We corroborate parties’ responsibility for this mismatch through qualitative questionnaires sent to easy-language translation agencies.
Beyond adding to the literature on strategic issue emphasis and applying NLP methods to an unstudied text form, our findings raise important societal questions about political inclusivity. Parties rather leverage ERMs for their own political gain and not their intended purpose of facilitating equal political participation of underprivileged groups.
The Importance of Descriptive Representation & Cue-Taking in Free List Local Elections (with Chiara Schmid & Leonie Rettig)
Abstract
With this study, we add to the literature on cue-taking and descriptive representation by focusing on a local, low-information context. Specifically, we empirically analyze voting patterns in the 2024 municipal elections in Mannheim, Germany. In this election, a free-list ballot design allowed voters to distribute 48 votes among 508 candidates of multiple parties, making it an ideal case to study these prominent theories of vote allocation. We pre-registered both our theoretical arguments and hypotheses prior to the election.
Our results indicate that, as expected, party affiliation, ballot position, and incumbency significantly influence vote totals. Ballot cues indicating candidate’s gender and occupation, however, do not exhibit any hypothesized direct effects on electoral outcomes. These findings contradict previous experimental studies, highlighting the need for both experimental and observational research to fully understand voter decision-making in complex real-world electoral settings.
Using multilevel models, we further corroborate the crucial role of descriptive representation, showing that candidates receive significantly more votes within their own residential districts. Additionally, voter age dynamics suggest that candidates strongly benefit electorally when their age aligns with the demographic profile of the respective district.
Current Work-in-Progress
I) Climate Change & Democracy
Investigating the Causal Path from Issue Incongruence to Democratic Dissatisfaction (with David Schweizer)(Presented: ECPR General Conference 2024 & DVPW AK Umwelt Tagung 2023 & EPSA 2023)
Abstract
Contemporary politics is characterized by a perceived deficit in political representation and dissatisfaction among citizen: dissatisfaction with government policy, the government in general, and their democratic system. So far, many researchers have demonstrated relationships between these political attitudes separately. In particular, a large part of this strand of research examines predictors of satisfaction with democracy. We advance this existing research by outlining and testing a causal path between perceived deficit in political representation and democratic dissatisfaction. Specifically, we examine this causal path using the example of climate change.
We argue that this causal path includes different degrees of political support. Originally, Easton developed a dichotomous typology of specific and diffuse political support. We follow Norris’ and Dalton’s extension of his seminal work and consider political support as a continuous concept. Panel data from the German Longitudinal Elections Study allows us to trace various measures of citizens’ political support across multiple survey waves between 2017 and 2023. Our measurements range from quite specific political support manifesting itself in perceived issue (in-)congruence, and thus in perceived political representation, to more diffuse support reflected in satisfaction with democracy and support for democratic principles.
First, citizen’s climate change issue congruence with the government is expected to influence their evaluation of the government’s climate policy. Second, this evaluation should influence citizens’ overall satisfaction with the government. However, we expect that this effect is moderated by the salience of climate change among citizens. Third, we expect that general government satisfaction shapes citizens’ satisfaction with democracy. Again, we believe that this effect is moderated by citizens’ representation in the political system. Finally, satisfaction with democracy should influence citizens support for democracy and democratic principles.
We test our theoretical expectations using advanced statistical modeling such as random-effects-within-between models and multi-level structural equation models.
This article makes two key contributions. On the one hand, we first establish a causal path from citizens’ perceived deficit in political representation to generalized support for democracy. On the other hand, we shed light on the potential of climate change to affect political attitudes and values if not appropriately addressed by governments.
Losing Satisfaction or Withdrawing Support? How Climate Change Concerns Shape Democratic Support
Abstract
Does growing climate concern endanger support for democracy? Climate change is a highly salient issue and concern about its consequences is growing. Therefore, I expect climate concern to increasingly factor into citizens’ evaluation of their democratic system. Building on prominent conceptualizations by Easton and Norris, these evaluations can range from being very specific (e.g. trust in the current government or satisfaction with democracy) to very diffuse (e.g. support for democracy and democratic principles).
Using original German panel data (2021-2023; N > 10.000) and random-effects-within-between models, I provide a novel empirical investigation into the causal impact of growing climate concern on system evaluations on different levels. Moreover, through mediation analyses, I am also able to evaluate whether negative impacts indeed follow the causal chain from specific to diffuse evaluations. All hypotheses and analysis steps are pre-registered.
Finally, I test multiple possible conditionalities: The described mechanism should apply more strongly for citizens with a higher climate change salience, because saliency moderates whether an issue factors into citizens’ overall system evaluation. Contrary, feeling that one’s climate position is well represented by parties and higher political efficacy should attenuate the negative impact on their system evaluation.
For one, my contribution provides a valuable empirical test of well-established theories in democracy research within a novel issue dimension. Moreover, climate change salience and concern are likely to rise even further in the future. Thus, understanding the threat for core components of democratic systems posed by this concern also carries important implications beyond the scientific community.
Revealing Hidden Demand for Non-Democratic Climate (In-)Action through List Experiments
Outline
In this contribution I focus on data from my original 2023 SOEP-Innovation Sample Module. Specifically, I:
(a) Use a battery of direct items to assess whether citizens are willing to support non-democratic tools to further their own climate action agenda. As a novel twist, do study this question in both direction, focusing not only on those wanting more climate action, but also those who might want to prevent climate action in non-democratic fashion.
(b) Use a double list experiment that includes two sensitive items from the direct battery to uncover `true’ willingness to resort to non-democratic means. Doing so, I am able to alleviate concerns of social desirability bias in my findings which would lead to an underestimation of non-democratic demand.
(c) Assess how this non-democratic (in-)action demand differs between population sub-groups. Most importantly, I differentiate between respondents that are for more vs. less climate action. Beyond that, extensive batteries capture respondents emotions elicited by climate change impact and the government’s climate politics. I argue that especially increased anger should relate to a higher willingness to endorse non-democratic action/prevention.
All analysis steps and hypotheses will be pre-registered at OSF before I obtain access to the data.
Re-Assessing the Impact of Climate Change Concern on Democratic Outcomes Comparatively (with Chiara Schmid)
Outline
In this project, we attempt to collect suitable panel data from all over the world that simultaneously includes
(a) any type of climate change concern, emotion or attitudes
(b) any type of democratic evaluation (e.g. democratic satisfaction or support, trust in politicians).
Even though there seems to be no truly comparative data, we strive to triangulate the causal impact of increasing climate concerns previously identified by research in Germany in a variety of different national contexts.
II) Subjective Free Speech
The Costs of Speaking Freely in a Liberal Democracy (with Richard Traunmüller)(Presented: EPSA 2024)
Abstract
A growing number of citizens says that they are no longer free to speak their mind. This raises an important question in the study of democracy. What sanctions of free expression exist in a liberal democracy, how probable are they and what costs do they entail? And how accurate are citizens’ perceptions?
We model the degree of free speech as the product of the probability of being sanctioned for speech and the associated costs of those sanctions. Using multiple original surveys from Germany, we relate this heuristic model to empirical data and present three studies on citizens’ perceptions of free speech.
Study 1 shows that citizens distinguish regular discursive risks from manifest negative consequences. While the former are perceived as much more probable, both carry comparable costs for free speech. Study 2 evaluates which topics are sanctioned and by whom. Exploiting randomized issue primes we find few differences in reported sanction probabilities. However, citizens do not feel restricted by close social ties but by more distant democratic actors. Last, study 3 demonstrates that citizens’ expectations of being sanctioned for speaking freely are to a substantial degree rooted in actual experiences. Taken together, these findings have significant implications for our understanding of liberal democracy and its vulnerabilities.
Who Self-Censors about What? Evaluating Double List Experiments in a Bayesian Framework (with Richard Traunmüller)
Outline
In this contribution, we evaluate multiple embedded double list experiments and the direct assessment of sensitive attitudes in our original survey data (s. bottom of this page) within the Bayesian framework proposed by Lu & Traunmüller to understand:
(a) In which topics respondents are most likely to censor themselves (i.e. government critique, pro gender-equality, pro climate action, or pro immigration).
(b) If respondents differentiate between policy preferences or potentially hateful attitudes.
(c) Whether self-censoring tendencies in the experiment align with a reported tendency to self-censor and to subjective freedom of speech.
(d) To what extent self-censorship is driven my respondent- or population-level evaluations of statements as being truthful, dangerous, and insulting.
Overall, this study should provide a comprehensive look into the issue of self-censorship going beyond self-reported measures.
The Political Dangers of Declining Subjective Freedom of Speech (with Richard Traunmüller)
Outline
In this contribution we use data from the most current waves of the German Longitudinal Election Study (Wave 23-25) to:
(a) Illustrate that the feeling of not being free to speak one’s mind increased significantly over the last year.
(b) Show through random-effects-within-between estimators that changes in subjective free speech are causally related to various democratic outcomes such as democratic satisfaction and identification with the radical right.
(c) Investigate the causal direction of these relationships in the structural equation framework (i.e. through random intercept cross-lagged panel models)
Does Political Polarization Harm Subjective Freedom of Speech? (with João Areal & Richard Traunmüller)
(Presented: 2022 RISC-Workshop “Polarization and Cohesion in Democracies” & EPSA 2023)
Abstract
Does political polarization harm citizens’ subjective sense of free speech? Seminal accounts in political science such as the ‘spiral of silence’, conformity pressures in social networks, or online echo-chambers point to social in-group mechanisms that can restrict citizens’ free expression. We offer a novel alternative argument that focuses on a different aspect of political polarization. We decompose polarization into two parts: in-group attachment and out-group aversion.
Specifically, we argue that out-group aversion reduces normative constraints on citizens’ expression and therefore has a liberating effect on subjective free speech. We test our argument using data from two original surveys fielded in Germany and including a new measure of out-group aversion. The results broadly support our argument and suggest that out-group aversion not only significantly increases subjective freedom of speech, but is of far greater relevance than contrasting in-group mechanisms. This finding has important implications for our understanding of political polarization, public opinion and democratic culture.
III) Other Projects
A Patriotic, Partisan or Political Bias? Assessing the Impact of EU Officials’ Characteristics on Infringement ProceedingsAbstract
This paper tackles the question whether infringement proceedings, the European Union’s most powerful tool to enforce common laws, are potentially unfairly biased based on the nationalities of the responsible officials. I argue, by concentrating mainly on member states’ characteristics, researchers have long neglected a crucial piece of the implementation puzzle. They brushed over those individuals that actually carry out the infringement proceedings with a significant amount of discretion: The director-generals and commissioners.
I propose that these officials have both, motive and opportunity, to unfairly influence the outcome of these legal investigations. I test this assertion by looking at the first escalation step of infringement proceedings, the issuing of a reasoned opinion, using a novel composite data set spanning 19.352 unique cases between 2002-2020. By estimating cross-classified, random intercept logistic regression models, I find no evidence for a patriotic bias of director generals. Cases handled by commissioners of the same country, however, are significantly less likely to reach the next escalation stage.
Who really knows where they stand? Studying Systematic Biases in Objective & Subjective Class (In)congruence Using Heteroskedastic Regression
Abstract
This research note examines the intricate relationship between objective and subjective classindicators, emphasizing their non-interchangeability and systematic deviations. The study first contributes to our existing understanding of the (lack of) relation between both concepts. I employ OLS-models predicting subjective class perceptions with objective indicators of education, income and occupational prestige using novel, high quality survey data from Germany to quantify their similarity.
I then show that these models violate the assumption of homoskedasticity and break new methodological ground using a self-written heteroskedastic Maximum Likelihood estimator to explicitly model differences in error variance of those basic models. Thereby, I show that objective class measures are more concisely predictive of subjective class perceptions amongst the highly educated and those who are content with the share they receive in life. Meanwhile, the homogeneity of respondents’ social networks surprisingly does not affect the model’s error variance. Overall, my contribution underscores the utility of heteroskedastic regression in sociological research while simultaneously contributing to the important literature on objective and subjective class indicators.
Does it add up? Applying Item Response Scoring to Fox’ State and Religion Data
Abstract
Spanning over 25 years and 183 countries, Jonathan Fox’ “Religion and State” data
set is the most encompassing resource on the relationships of states and religion. However, despite the more than 150 single indicators, Fox consistently advocates for simple additive (sub-)indices. Challenging this position, I apply item response [IR] scores to three main dimensions of the data: religious state-support and -restrictions, and discrimination against religious minorities.
I argue, the IR approach provides a strong robustness check for the currently favored additive indices – mostly, because it relaxes the assumption that all items within a dimension are of equal importance to the underlying latent trait. Beyond that, it allows me to investigate possible temporal changes in the meaningfulness of single items for their respective dimension. Finally, opposed to simple addition, it is possible to estimate measures of uncertainty around aggregate scores.
(Preliminary) results largely support Fox’ claim. IR scores are not substantially different from additive scores and, some exceptions withstanding, the items’ meaningfulness remains fairly stable over 25 years. Still, the IRT models reveal singular items to be highly inconsistent and opposed to the direction of their underlying dimension, which should inform future data collection and aggregation. Finally, the derived IR scores possess very large standard errors. This means, even seemingly substantial differences in additive scores might be an exaggeration and should be interpreted
with caution.
Data Collection
Survey: Subjective Free Speech and Related Concepts
Collected: Two waves (September and November of 2022), with R. TraunmüllerDocumentation: [Codebook Wave 1], [Codebook Wave 2]
Keywords: (Subjective) Free Speech, Self-Censorship, Censoring Others, Tolerance, De-Platforming, Hate Speech
Module: Climate Policy: Emotions, Attitudes and Trade-Offs
Collected: Within the SOEP-Innovation Sample 2023 waves, with D. SchweizerDocumentation: [Module Questionnaire], [SOEP-IS Website]
Keywords: Climate Change, Democracy, Trade-Offs, Political Behavior, List Experiments, Emotions
Note: Module authors have privileged access to the data for one year after its collection. Thus, feel free to get in contact, if you are interested in using our module or, even better, want to collaborate in evaluating our data.