We study the extent to which personal connections among legislators influence abstentions in the U.S. Congress. Our analysis is conducted by observing representatives' abstention for the universe of roll call votes held on bills in the 109th-113th Congresses. Our results show that a legislator's...

We study vote trading among U.S. Congress members. By tracking roll-call votes within bills across five legislatures and politicians' personal connections made during the school years, we document a propensity of connected legislators to vote together that depends on how salient the bill is to...

It has long been observed that there is little money in U.S. politics compared to the stakes. But what if contributions are not fully observable or non-monetary in nature and thus not easily quantifiable? We study this question with a new data set on the top 1000 donors in U.S. congressional...

We examine the effect of hearing cases alongside female judicial colleagues on the probability that a federal judge hires a female law clerk. Federal judges are assigned to cases and to judicial panels at random and have few limitations on their choices of law clerks: these two features make the...

We present an informational theory of public protests, according to which public protests allow citizens to aggregate privately dispersed information and signal it to the policy maker. The model predicts that information sharing of signals within social groups can facilitate information...

To study the role of tax professionals, we merge tax records of 2.5 million taxpayers in Italy with the respective audit files from the tax revenue agency. Our data covers the entire population of sole proprietorship taxpayers in seven regions, followed over seven fiscal years. We first document...

We present a model of the U.S. Congress in which social connections among Congress members are endogenous and matter for their legislative activity. We propose a novel equilibrium concept for the network formation game that allows for a sharp characterization of equilibrium behavior and that...

In this paper, we propose a new approach to the estimation of social networks and we apply it to the estimation of productivity spillovers in the U.S. Congress. Social networks such as the social connections among lawmakers are not generally directly observed, they can be recovered only using...

We study the extent to which ML techniques can be used to improve tax auditing efficiency using administrative data, without the need of randomized audits. Using Italy's population data on sole proprietorship tax returns, audits and their outcome, we develop a new approach to address the so...

In this paper, we study the extent to which social connections influence the legislative effectiveness of members of the U.S. Congress. We propose a new model of legislative effectiveness that formalizes the role of social connections and generates simple testable predictions. The model predicts...