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 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...

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...