Researchers make hundreds of decisions about data collection, preparation, and analysis in their research. We use a many-analysts approach to measure the extent and impact of these decisions. Two published causal empirical results are replicated by seven replicators each. We find large...

This paper examines how economic insecurity and cultural anxiety have triggered different dimensions of the current populism in the United States. Specifically, I exploit two quasi-natural experiments, the Great Recession and the 2014 Northern Triangle immigrant in ux, to investigate the effects...

This paper investigates the role of civic engagement, an important form of social capital from the supply side, in buffering the adverse effects of challenging life circumstances in three key domains-employment, marriage, and health-on individual subjective well-being, specifically in terms of...

The examination of the causal impact of health insurance coverage on healthcare utilisation is a critical endeavour in both academic research and policy formulation. However, this endeavour faces challenges, notably the endogenous selection into coverage and prevalent misreporting of coverage...

The share of women in the top 1% of the UK’s income distribution has been growing over the last two decades (as in several other countries). Our first contribution is to account for this secular change using regressions of the probability of being in the top 1%, fitted separately for men and...

We use a randomized field experiment to estimate the effect of computer-assisted personal interviewing (CAPI) on interview duration, number of errors, respondent perceptions, and cost. During Quarter 3 of the 2017 Labor Force Survey data collection for Ho Chi Minh City, Viet Nam, 15 households...

In this paper I use administrative data to estimate the number of deaths, the number of infections, and mortality rates from Covid-19 in Lombardia, the hot spot of the disease in Italy and Europe. The information is relevant for the policy maker, to make decisions, and for the public, to adopt...

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that...

Studies on health insurance coverage often rely on measures self-reported by respondents, but the accuracy of such measures has not been thoroughly validated. This paper is the first to use linked Australian National Health Survey and administrative population tax data to explore the accuracy of...

Purpose – The purpose of this paper is to identify and discuss the on-the-job resilience strategies of mismatched workers. We empirically focus on Egyptian workers.Design/Methodology/Approach – This study relies on a primary micro-data collection based on design and implementation of a...