https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5013225
This paper demonstrates how causal machine learning (CML) can personalize treatment assignments (targeting) to improve intervention effectiveness. In a field experiment with nearly 500,000 participants at an online fashion retailer, we show that CML-based targeting transforms an otherwise ineffective loss-framing intervention into one that generates an 11% revenue increase. Effective targeting is achieved using generic digital footprints without relying on context-specific historical data. By combining data from the RCT with a behavioral measurement experiment, we find that CML-predicted individual treatment effects are strongly correlated with individual loss aversion, a core concept in behavioral economics. This alignment shows that CML implicitly captures established theoretical constructs, enhancing both the interpretability and transparency of its outputs. Furthermore, CML outperforms targeting policies based directly on measured loss aversion, demonstrating its ability to uncover heterogeneity beyond existing models.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4692411
To evaluate the impact of group identity on belief formation and its impact on political polarization, we conducted two waves of online experiments with a representative sample in the US, using the setting of the 2020 presidential election. Using the bystander allocation games, we classify participants as groupish if they favor ingroup members in randomly assigned minimal groups, and universalist otherwise. In both waves, we find that people pay money to avoid outgroup information, and attribute lower weight to this information when updating beliefs. An intervention which unlabels information sources decreases outgroup information avoidance by 50%, an effect driven by groupish participants. A second debiasing intervention aiming at equalizing the instrumental values of information sources affects only the universalists. Taken together, our findings establish source utility - the value individuals place on information based on its group association, independent of content or instrumental value - as a mechanism driving polarization.
Journal of Finance (revise and resubmit), SAFE Working Paper No. 347. http://dx.doi.org/10.2139/ssrn.4076790
Households regularly fail to make optimal financial decisions. But what are the underlying reasons for this? Using two conceptually distinct measures of time inconsistency based on bank account transaction data and behavioral measurement experiments, we show that the excessive use of bank account overdrafts is linked to time inconsistency. By contrast, there is no correlation between a survey-based measure of financial literacy and overdraft usage. Our results indicate that consumer education and information may not suffice to overcome mistakes in households’ financial decision-making. Rather, behaviorally motivated interventions targeting specific biases in decision-making should also be considered as effective policy tools.
We investigate the real effects of negative interest rates, leveraging a substantial rate cut into deep negative territory by the Swiss National Bank (SNB) in 2015. We find that while the introduction of negative rates does stimulate borrowing and investment, their impact is less pronounced compared to rate cuts in positive rate environments. This attenuation is particularly evident among small firms, contrasting with positive rate environments where smaller firms typically benefit more from rate cuts than larger firms. This evidence points to an emerging “reversal rate” effect, where the contractionary effects on bank lending specifically impact smaller, bank-dependent firms.
Journal of International Business Studies, 55 (2024), 1057–1068.
Our study examines the influence of the local financial conditions in a multinational corporation’s (MNC) home country on its global strategy and market position. Establishing headquarters in a country grants legitimacy with local stakeholders, which enhances firms’ access to local capital markets. Consequently, MNCs headquartered in a country with favorable financial conditions might gain an advantage over MNCs based in countries with a less advantageous financial environment. To analyze this hypothesis, we utilize local projections and a major policy shift by the Swiss National Bank in January 2015, which involved an exchange rate shock and a substantial interest rate cut to -0.75 %. Our analysis shows that Swiss-based MNCs, benefiting from lower domestic interest rates, significantly outperformed their EU-based rivals in terms of investment rates (8.4 to 9.7 percentage points higher) and employment growth (6.7 to 9.8 percentage points higher). Moreover, we show that this stimulating effect helped to offset the adverse consequences of the simultaneous appreciation of the domestic currency for Swiss-based MNCs in sectors more reliant on exports. Our results highlight the critical role of local financial conditions and, more broadly, local macroeconomic factors in shaping MNCs’ global strategies and competitive standing.
Economic Journal, 130(632) (2020), 2569-2595. https://doi.org/10.1093/ej/ueaa055
A large body of evidence shows that social identity affects behaviour. However, our understanding of the substantial variation of these behavioural effects is still limited. We use a novel laboratory experiment to measure differences in preferences for social identities as a potential source of behavioural heterogeneity. Facing a trade-off between monetary payments and belonging to different groups, individuals are willing to forego significant earnings to avoid belonging to certain groups. We then show that individual differences in these foregone earnings correspond to the differences in discriminatory behaviour towards these groups. Our results illustrate the importance of considering individual heterogeneity to fully understand the behavioural effects of social identity.
Journal of Economic Behavior & Organization, 179 (2020), 638-652. https://doi.org/10.1016/j.jebo.2018.12.032
We develop a public goods game (PGG) to measure cooperation and conditional cooperation in young children. Our design addresses several obstacles in adapting simultaneous and sequential PGGs to children who are not yet able to read or write, do not possess advanced abilities to calculate payoffs, and only have a very limited attention span. It features the combination of haptic offline explanation, fully standardized audiovisual instructions, computerized choices based on touchscreens, and a suitable incentive scheme. Applying our experimental protocol to 129 German first-graders, we find that already 6-year-olds cooperate conditionally and that the relative frequency of different cooperation types matches the findings for adult subjects. We also find that neither survey items from teachers nor from parents predict unconditional or conditional cooperation behavior; this underlines the value of incentivized experimental protocols for measuring cooperation in children.
Winner of the Sturm & Drang Prize for the best publication by a young researcher of the Faculty of Economics and Business Administration
We design a novel test for changes in market discipline based on the relation between firm-specific risk, credit spreads, and equity returns. We use our method to analyze the evolution of bailout expectations during the recent financial crisis. We find that bailout expectations peaked in reaction to government interventions following the failure of Lehman Brothers, and returned to pre-crisis levels following the initiation of the Dodd-Frank Act. We do not find such changes in market discipline for non-financial firms. Finally, market discipline is weaker for government-sponsored enterprises (GSEs) and systemically important banks (SIBs) than for investment banks.
European Economic Review, 90 (2016), 4-17 (lead article). http://dx.doi.org/10.1016/j.euroecorev.2016.01.001
We model individual identification choice as a strategic group formation problem. When choosing a social group to identify with, individuals appreciate high social status and a group stereotype to which they have a small social distance. A group's social status and stereotype are shaped by the (exogenous) individual attributes of its members and hence endogenous to individuals' choices. Unless disutility from social distance is strong enough, this creates a strategic tension as individuals with attributes that contribute little to group status would like to join high-status groups, thereby diluting the latters' status and changing stereotypes. Such social free-riding motivates the use of soft exclusion technologies in high-status groups, which provides a unifying rationale for phenomena such as hazing rituals, charitable activities or status symbols that is not taste-based or follows a standard signaling mechanism.
Journal of Economic Behavior & Organization. 115 (2015), 197-216. http://dx.doi.org/10.1016/j.jebo.2014.12.005
We study how students’ social networks emerge by documenting systematic patterns in the process of friendship formation of incoming students; these students all start out in a new environment and thus jointly create a new social network. As a specific novelty, we consider cooperativeness, time and risk preferences – elicited experimentally – together with factors like socioeconomic and personality characteristics. We find a number of robust predictors of link formation and of the position within the social network (local and global network centrality). In particular, cooperativeness has a complex association with link formation. We also find evidence for homophily along several dimensions. Finally, our results show that despite these systematic patterns, social network structures can be exogenously manipulated, as we find that random assignments of students to groups on the first two days of university impacts the students’ friendship formation process.