We show that past inflation experiences strongly predict homeownership within and across
countries. First, we collect novel survey data, which reveal inflation protection to be a key …

We investigate the importance of subjective expectations of returns to and effort costs of the
two principal investments that mothers make in newborns: breastfeeding and stimulation …

We investigate the impact of severe drought shocks in Morocco's agricultural sector. Using a
staggered difference-in-differences design, we estimate that climatic shocks resulted in a job …

This paper investigates how restriction policies have impacted elderly self-assessed health
(SAH) in Europe during the pandemic, and how the Covid-19 infection interacts with policy …

In non-linear estimations, it is common to assess sampling uncertainty by bootstrap
inference. For complex models, this can be computationally intensive. This paper combines …

We examine how one of the largest US place-based economic development programs, the
Indian Gaming Regulatory Act (IGRA) of 1988, with annual revenues in excess of\$40 billion …

Bootstrap is a popular methodology for simulating input uncertainty. However, it can be
computationally expensive when the number of samples is large. We propose a new …

We study cluster-robust inference for binary response models. Inference based on the most
commonly-used cluster-robust variance matrix estimator (CRVE) can be very unreliable. We …

We study the effect of mandates requiring COVID-19 vaccination among healthcare industry
workers adopted in 2021 in the United States. There are long-standing worker shortages in …

Advocates for sales restrictions on flavored e-cigarettes argue that flavors appeal to young
people and lead them down a path to nicotine addiction. This study is among the first to …