This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...

We use an experiment to test whether consumers optimally acquire information on energy costs in appliance markets where, like many contexts, consumers are poorly informed and make mistakes despite freely available information. To test for optimal information acquisition we compare the average...

The labor market effects of pension reform stem from retirement behavior and from job search and hours worked of prime age workers. This paper investigates the impact of four often proposed policy measures for sustainable pensions: strengthening the tax benefit link, moving from wage to price...

We study the long-term effects of a randomized intervention targeting children's socio-emotional skills. The classroom-based intervention for primary school children has positive impacts that persist for over a decade. Treated children become more likely to complete academic high school and...

We investigate regime-dependent Granger causality between real output, inflation and monetary indicators and map with U.S. Fed Chairperson's tenure since 1965. While all monetary indicators have causal predictive content in certain time periods, we report that the Federal Funds rate (FFR) and...

We demonstrate that heat inhibits learning and that school air-conditioning mitigates this effect. Student fixed effects models using 10 million PSAT-retakers show hotter school days in years before the test reduce scores, with extreme heat being particularly damaging. Weekend and summer heat...

We present a general framework for Bayesian estimation and causality assessment in epidemiological models. The key to our approach is the use of sequential Monte Carlo methods to evaluate the likelihood of a generic epidemiological model. Once we have the likelihood, we specify priors and rely...

To investigate how Covid-19 is shaping the way Europeans think about institutions, we conducted a large online survey experiment during the first wave of the epidemic (June). With a randomised survey ow we varied whether respondents are given Covid-related treatment questions first, before...