This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...

This study employs six Machine Learning methods - Logit, Lasso-Logit, Ridge-Logit, Random Forest, Extreme Gradient Boosting, and an Ensemble - alongside registry data on abortions in Spain from 2011-2019 to predict multiple abortions and assess monetary savings through targeted interventions. We...

We construct a matching model on the marriage market along more than one characteristic, where individuals have preferences over physical attractiveness (proxied by anthropometric characteristics) and market and household productivity of potential mates (proxied by socioeconomic...

We explore the relationship between relative physical attractiveness in the household and the hours worked by married men and women. Using PSID data, we find that husbands who are thinner relative to their wives work fewer hours, while wives who are heavier relative to their husbands work more...

This study analyzes the marriage-market aspects of season of birth in the United States, estimating whether and how marital status is related to quarter of birth by gender and race, also incorporating cohabitation as a separate relationship status. For couples, additional analysis considers who...

We analyze how attractiveness rated at the start of the interview is related to weight (controlling for height), and BMI, separately by gender and also accounting for interviewer fixed effects, in a nationally representative sample. We are the first to show that height, weight, and BMI all...

We analyze how attractiveness rated at the start of the interview is related to weight (controlling for height), and BMI, separately by gender and also accounting for interviewer fixed effects, in a nationally representative sample. We are the first to show that height, weight, and BMI all...

We investigate assortative mating on education using a sample of couples from the Health and Retirement Study. We estimate a reduced-form linear matching function, which links wife's education to husband's education and both wife's and husband's unobservable characteristics. Using OLS we find...

We investigate gender differences across socioeconomic and wellbeing dimensions after three months of lockdown in the UK, using an online sample of approximately 1,500 respondents in Prolific, representative of the UK population with regards to age, sex and ethnicity. We find that women's mental...

We investigate gender differences across multiple dimensions after three months of the first UK lockdown of March 2020, using an online sample of approximately 1,500 Prolific respondents residents in the UK. We find that women's mental health was worse than men's along the four metrics we...