One goal of the paid family leave (PFL) is to help working mothers balance their careers and family responsibilities and hence improve the well-being of their infants. However, most studies of PFL on early childhood outcomes have been based on the analyses of surviving infants. If PFL reduces...

While there is a growing literature on the impact of climate and weather-related events on migration, little is known about the mitigating effect of different policies directed to the agricultural sector, or aimed at insuring against environmental disasters. This paper uses state-level data on...

What is the effect of the COVID-19 pandemic on the 2020 U.S. presidential election? Guided by a pre-analysis plan, we estimate the effect of COVID- 19 cases and deaths on the change in county-level voting for Donald Trump between 2016 and 2020. To account for potential confounders, we include a...

I examine the short-term labor market effects of the Great Lockdown in the United States. I analyze job losses by task content (Acemoglu & Autor 2011), and show that they follow underlying trends; jobs with a high non-routine content are especially well-protected, even if they are not...

What is the effect of the COVID-19 pandemic on the 2020 U.S. presidential election? Guided by a pre-analysis plan, we estimate the effect of COVID- 19 cases and deaths on the change in county-level voting for Donald Trump between 2016 and 2020. To account for potential confounders, we include a...

Building on the growing evidence on the importance of large data sets for empirical macroeconomic modeling, we estimate a large-scale FAVAR model for 18 OECD member countries. We quantify the global effects of economic policy uncertainty shocks and check whether the signs, the magnitude, and the...

Guest workers on visas in the United States may be unable to quit bad employers due to barriers to mobility and a lack of labor market competition. Using H-1B, H-2A, and H-2B program data, we calculate the concentration of employers in geographically defined labor markets within occupations. We...

Recent studies have proposed causal machine learning (CML) methods to estimate conditional average treatment effects (CATEs). In this study, I investigate whether CML methods add value compared to conventional CATE estimators by re-evaluating Connecticut's Jobs First welfare experiment. This...

The objective of the paper is to examine the retirement behaviour of Belgian workers in one-earner households who are automatically granted a more generous old-age pension benefits replacement rate, called the household replacement rate. Following a recommendation of the Belgian Pension Reform...

This study explores the impact of COVID-19 and how Vietnamese citizens perceived and experienced measures adopted by central and local governments to contain the CVODI-19 pandemic in 2021. In general, the COVID-19 pandemic had a more severe impact in 2021 than in 2020. Citizens showed great...