This paper examines the effects of county-level urbanization and natural amenities on subjective well-being (SWB) in the U.S. SWB is measured using individual-level data from the Behavioral Risk Factor Surveillance System (BRFSS) which asks respondents to rate their overall life satisfaction....

We document externalities of the civic unrest experienced in Ferguson, MO following the police shooting of an unarmed black teenager. Difference-in-differences and synthetic control method estimates compare Ferguson-area schools to neighboring schools in the greater St. Louis area and find that...

We study the role of education during the COVID-19 epidemic in Italy. We compare the trends of mortality rates between municipalities with different shares of educated residents between 2012 and 2020, by means of a continuous event study model and controlling for many confounders. We find that...

We investigate whether the COVID-19 pandemic decreased the willingness to pay for urban amenities such as restaurants, cinemas and theaters. We do this by using a hedonic pricing model in combination with a time-gradient difference-in-difference approach. We use a data set that contains...

This paper considers the problem of aggregation in the case of large linear dynamic panels, where each micro unit is potentially related to all other micro units, and where micro innovations are allowed to be cross sectionally dependent. Following Pesaran (2003), an optimal aggregate function is...

This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the...

This paper formulates and estimates multistage production functions for children's cognitive and noncognitive skills. Skills are determined by parental environments and investments at different stages of childhood. We estimate the elasticity of substitution between investments in one period and...

In this paper, we investigate the use of interactive effect or linear factor models in regional policy evaluation. We contrast treatment effect estimates obtained by Bai (2009)'s least squares method with the popular difference in difference estimates as well as with estimates obtained using...

Quantile factor models (QFM) represent a new class of factor models for high-dimensional panel data. Unlike approximate factor models (AFM), which only extract mean factors, QFM also allow unobserved factors to shift other relevant parts of the distributions of observables. We propose a quantile...