Many commonly used treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non-testable. When evaluating the effects of labor market policies, researchers need to observe variables that affect both treatment participation and labor...

Many commonly used treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non-testable. When evaluating the effects of labor market policies, researchers need to observe variables that affect both treatment participation and labor...

A large and highly used number of treatment effects estimators rely on the unconfoundedness assumption ("selection on observables") which is fundamentally non testable. When evaluating the effects of labor market policies, researchers need to observe both variables that affect treatment...

Many countries support business start-ups to spur economic growth and reduce unemployment with different programmes. Evaluation studies of such programmes commonly rely on the conditional independence assumption (CIA), allowing a causal interpretation of the results only if all relevant...

We construct a structural model of entry into self-employment to evaluate the impact of policies supporting entrepreneurship. Previous work has recognized that workers may opt for self-employment due to the non-pecuniary benefits of running a business and not necessarily because they are good at...

A puzzling feature of entrepreneurship is that many individuals are self-employed even though they would earn more in paid employment. To shed light on this puzzle, we examine the role of personality traits in determining entrepreneurial decisions and earnings. We estimate a model in which...

We construct a structural model of entry into self-employment to evaluate the impact of policies supporting entrepreneurship. Previous work has recognized that workers may opt for self-employment due to the non-pecuniary benefits of running a business and not necessarily because they are good at...

This article seeks to measure the effect of bullying in math scores of students in the 6th grade of public (Nansel et al., 2001). school in the city of Recife, Pernambuco, Brazil with the use of data from a survey by Joaquim Nabuco Foundation in 2013. The methodology applied is Propensity Score...