This research is inspired by in-kind donations that have the capacity to increase the marginal benefit (productivity) in provision of public goods, for example by providing critical infrastructure that increases the productivity of resources utilized by local public good providers. We provide...

This paper studies how gifts - monetary or in-kind payments - from drug firms to physicians in the US affect prescriptions and drug costs. We estimate heterogeneous treatment effects by combining physician-level data on antidiabetic prescriptions and payments with causal inference and machine...

We investigate how heterogeneity in contestants' investment costs affects competition expenditures in a dynamic elimination contest with different seeding variants of contestants. Theory predicts that expenditures in dynamic contests are lower when competitors are heterogeneous than when they...

Received wisdom holds that income rank matters for life satisfaction. In much of the literature, however, income comparisons are limited to the national population and evidence is correlational. In this paper, we investigate differences in the causal effects of rank information across reference...

Climate change constitutes one of the major challenges to humankind in the 21st century. To address this crisis, it is necessary to transform the economy and reduce greenhouse gas emissions. The finance industry has the potential to play a central role in this transformation by implementing...

Anthropogenic climate change is one of the most pressing global issues today and finding means of mitigation is of utmost importance. To this end, we investigate whether carbon taxes on their own and coupled with revenue recycling schemes (symmetric or asymmetric carbon dividends) improve...

We report novel results from changes in the marginal per capita return (MPCR) in a one-shot public good game where participants make a single provision decision. Data was collected using three "data collection processes": an online experiment conducted on Prolific, an online experiment conducted...

We propose a new approach to detect and quantify informal employment resulting from irregular migration shocks. Focusing on a largely informal sector, agriculture, and on the exogenous variation from the Arab Spring wave on southern Italian coasts, we use machine-learning techniques to document...

We study first-order and higher-order inflation expectations of German households and firms elicited from surveys. The data allows to shed light on the relation between different orders of beliefs, and to derivate implications for noisy-information models with infinite regress. Moreover, since...

How do men and women differ in their persistence after experiencing failure in a competitive environment? We tackle this question by combining a large online experiment (N=2,086) with machine learning. We find that when losing is unequivocally due to merit, both men and women exhibit a...