Social media are at the center of countless debates on polarization, misinformation, and even the state of democracy in various parts of the world. An essential feature of social media is their recommendation algorithm that determines the ranking of content presented to the users. This paper...

We conduct an artefactual field experiment in real-existing trade networks to analyze how individual network degree affects bargaining demands and outcomes. We combine data from a bilateral bargaining experiment with data of trade networks in 24 villages in Uganda. To identify the effect of...

I study how political parties affect representation in the U.S. House. To do so, I account for party pressure on the votes of members in an otherwise standard spatial model that uses roll call voting patterns to identify member ideologies. I simultaneously estimate voter ideologies from survey...

We examine whether the public revelation of sensitive tax information prompts firms to adopt reputation repair policies targeting shareholders. Between 2013 and 2021, the International Consortium of Investigative Journalists (ICIJ) released leaked information on over 800,000 offshore entities...

We provide a rationale for Co-Voting, a decision-making procedure that blends elements of direct and representative democracy to mitigate their main inefficiencies. A randomly selected group of citizens receives voting rights on specific issues, with their collective decision aggregated with...

This paper studies the impact of birthright citizenship on youth crime. We leverage a reform which automatically granted birthright citizenship to eligible immigrant children born in Germany after January 1, 2000 and administrative crime data from three federal states. Immigrant youth who...

We conducted a within-subject laboratory experiment in which participants decided whether to experience physical discomfort for charity, with or without additional personal compensation. Acceptance decreased with greater discomfort and increased with both larger charitable donations and personal...

We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre-trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model. This approach enables demand...

Minimum standard regulations for energy-using durables have long been suspected of having hidden costs: quality improvements in the regulated dimension reduce quality in other dimensions. We substantiate this claim for the U.S. clothes washer market, which has become a notorious example of the...

We calibrate a lifecycle portfolio-choice model of homeowners facing uninsurable income risk to show that tax deductions for mortgage interest payments and voluntary pension contributions have sizable effects on household portfolios and macroprudential risks. The deductions reduce the after-tax...