Julian Schuessler
Biographic Data
| ID | 366342 |
|---|---|
| NAME | Julian Schuessler |
| GIVEN NAMES | Julian |
| FAMILY NAME | Schuessler |
| SIGNATURE | SCHUESSLER J |
| AFFILIATIONS | Aarhus University |
| ORCID | 0000-0002-8604-7699 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 37 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Identification and Sensitivity Analysis for Teacher Bias Designs Based on Administrative Data
A series of papers uses administrative data on school students’ grades to assess whether teachers discriminate against certain demographic groups. Often, differences in teacher and test grades are regressed on student-level variables. However, it is unclear under what circumstances such an estimation strategy is valid. We conceptualize teacher bias as a direct causal effect of student-level attributes on teacher grades, fixing student ability. St…
Facial finetuning: Using Pretrained Image Classification Models to Predict Politicians’ Success
There is a long-standing interest in how the visual appearance of politicians predicts their success. Usually, the scope of such studies is limited by the need for human-rated facial features. We instead fine-tune pre-trained image classification models based on convolutional neural networks to predict facial features of 7,080 Danish politicians. Attractiveness and trustworthiness scores correlate positively and robustly with both ballot paper pl…
Graphical Causal Models for Survey Inference
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of bias and assumptions for eliminating it in various selection scenarios. We then introduce and analyze g…
Post-Instrument Bias
When using instrumental variables, researchers often assume that causal effects are only identified conditional on covariates. We show that the role of these covariates is often unclear and that there exists confusion regarding their ability to mitigate violations of the exclusion restriction. We explain when and how existing adjustment strategies may lead to “post‐instrument” bias. We then discuss assumptions that are sufficient to identify vari…
All on board? The role of institutional design for public support for differentiated integration
Differentiated integration is often considered a solution to gridlock in the European Union. However, questions remain concerning its perceived legitimacy among the public. While research shows that most citizens are not, in principle, opposed to differentiated integration – although support varies across different differentiated integration models and different country contexts – we still know little about the role institutional design plays in …
Can exposure to sexual objectification impact policy attitudes? Evidence from two survey experiments
Research in social psychology has long argued that exposure to objectifying portrayals of women can lead to increasingly misogynist attitudes and behavior. We argue that such images can also impact on gendered policy attitudes. We suggest that objectifying images prime sexist attitudes and reduce perceptions of women's agency, warmth, and competence. We argue that this may translate into decreased support for reproductive rights and other gender-…
Differentiation, dominance and fairness in the European Union: Bringing in the citizens’ perspective
This article analyses whether and how fairness considerations affect citizens’ support of European Union (EU) policies and integration. While past literature has revealed that perceptions of procedural and substantive fairness impact on public opinion at the level of the nation state, we know less about the fairness‐support nexus when it comes to international cooperation. We here make use of the case of differentiated integration (DI) to experim…
Post-Instrument Bias in Linear Models
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and without measurement error): IV with post-instrument covariates, IV without post-instrument covariates, an…
Mapping public support for the varieties of differentiated integration
This article maps and investigates public support for different types of differentiated integration (DI) in the European Union. We examine citizens’ preferences for DI using novel survey data from eight EU member states. The data reveals substantive differences in support for different types of DI. Factor analyses reveal two dimensions that seem to structure citizens’ evaluations of DI. The first dimension relates to the effect of DI on the Europ…
Public support for differentiated integration: Individual Liberal Values and Concerns About Member State Discrimination
Research on differentiated integration (DI) in the European Union has burgeoned in recent years. However, we still know little about citizens’ attitudes towards the phenomenon. In this article, we argue that at the level of individual citizens, liberal economic values increase support for DI. Stronger preferences for equality, in contrast, make opposition to the concept more likely. Similarly, concerns about discriminatory differentiation at the …
Public support for unequal treatment of unvaccinated citizens: Evidence from Denmark
Mapping public support for the varieties of differentiated integration
This article maps and investigates public support for different types of differentiated integration (DI) in the European Union. We examine citizens’ preferences for DI using novel survey data from eight EU member states. The data reveals substantive differences in support for different types of DI. Factor analyses reveal two dimensions that seem to structure citizens’ evaluations of DI. The first dimension relates to the effect of DI on the Europ…
Public support for differentiated integration: Individual Liberal Values and Concerns About Member State Discrimination
Research on differentiated integration (DI) in the European Union has burgeoned in recent years. However, we still know little about citizens’ attitudes towards the phenomenon. In this article, we argue that at the level of individual citizens, liberal economic values increase support for DI. Stronger preferences for equality, in contrast, make opposition to the concept more likely. Similarly, concerns about discriminatory differentiation at the …
Graphical Causal Models for Survey Inference
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of bias and assumptions for eliminating it in various selection scenarios. We then introduce and analyze g…
Public support for unequal treatment of unvaccinated citizens: Evidence from Denmark
Differentiation, dominance and fairness in the European Union: Bringing in the citizens’ perspective
This article analyses whether and how fairness considerations affect citizens’ support of European Union (EU) policies and integration. While past literature has revealed that perceptions of procedural and substantive fairness impact on public opinion at the level of the nation state, we know less about the fairness‐support nexus when it comes to international cooperation. We here make use of the case of differentiated integration (DI) to experim…
Public support for differentiated integration: Individual Liberal Values and Concerns About Member State Discrimination
Research on differentiated integration (DI) in the European Union has burgeoned in recent years. However, we still know little about citizens’ attitudes towards the phenomenon. In this article, we argue that at the level of individual citizens, liberal economic values increase support for DI. Stronger preferences for equality, in contrast, make opposition to the concept more likely. Similarly, concerns about discriminatory differentiation at the …
Public support for unequal treatment of unvaccinated citizens: Evidence from Denmark
Mapping public support for the varieties of differentiated integration
This article maps and investigates public support for different types of differentiated integration (DI) in the European Union. We examine citizens’ preferences for DI using novel survey data from eight EU member states. The data reveals substantive differences in support for different types of DI. Factor analyses reveal two dimensions that seem to structure citizens’ evaluations of DI. The first dimension relates to the effect of DI on the Europ…
Post-Instrument Bias
When using instrumental variables, researchers often assume that causal effects are only identified conditional on covariates. We show that the role of these covariates is often unclear and that there exists confusion regarding their ability to mitigate violations of the exclusion restriction. We explain when and how existing adjustment strategies may lead to “post‐instrument” bias. We then discuss assumptions that are sufficient to identify vari…
All on board? The role of institutional design for public support for differentiated integration
Differentiated integration is often considered a solution to gridlock in the European Union. However, questions remain concerning its perceived legitimacy among the public. While research shows that most citizens are not, in principle, opposed to differentiated integration – although support varies across different differentiated integration models and different country contexts – we still know little about the role institutional design plays in …
Can exposure to sexual objectification impact policy attitudes? Evidence from two survey experiments
Research in social psychology has long argued that exposure to objectifying portrayals of women can lead to increasingly misogynist attitudes and behavior. We argue that such images can also impact on gendered policy attitudes. We suggest that objectifying images prime sexist attitudes and reduce perceptions of women's agency, warmth, and competence. We argue that this may translate into decreased support for reproductive rights and other gender-…
Differentiation, dominance and fairness in the European Union: Bringing in the citizens’ perspective
This article analyses whether and how fairness considerations affect citizens’ support of European Union (EU) policies and integration. While past literature has revealed that perceptions of procedural and substantive fairness impact on public opinion at the level of the nation state, we know less about the fairness‐support nexus when it comes to international cooperation. We here make use of the case of differentiated integration (DI) to experim…
Post-Instrument Bias in Linear Models
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and without measurement error): IV with post-instrument covariates, IV without post-instrument covariates, an…
Facial finetuning: Using Pretrained Image Classification Models to Predict Politicians’ Success
There is a long-standing interest in how the visual appearance of politicians predicts their success. Usually, the scope of such studies is limited by the need for human-rated facial features. We instead fine-tune pre-trained image classification models based on convolutional neural networks to predict facial features of 7,080 Danish politicians. Attractiveness and trustworthiness scores correlate positively and robustly with both ballot paper pl…
Graphical Causal Models for Survey Inference
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of bias and assumptions for eliminating it in various selection scenarios. We then introduce and analyze g…
Identification and Sensitivity Analysis for Teacher Bias Designs Based on Administrative Data
A series of papers uses administrative data on school students’ grades to assess whether teachers discriminate against certain demographic groups. Often, differences in teacher and test grades are regressed on student-level variables. However, it is unclear under what circumstances such an estimation strategy is valid. We conceptualize teacher bias as a direct causal effect of student-level attributes on teacher grades, fixing student ability. St…
Political science (6 works) · Economics (5 works) · Law (5 works) · Law (5 works) · European union (4 works) · European Union Policy and Governance (4 works) · Politics (4 works) · Public opinion (4 works) · Advanced Causal Inference Techniques (3 works) · Artificial Intelligence (3 works)