Panel data on MBA graduates is used in an attempt to empirically distinguish between human capital and signaling models of education. The existence of employment observations prior to MBA enrollment allows for the control of unobserved ability or selection into MBA programs (through the use of...

La universidad española ha crecido significativamente en recursos y resultados pero, como nuestra economía, tiene problemas de productividad y competitividad internacional que suscitan dudas sobre su funcionamiento y su contribución social y económica. El objetivo de esta obra es evaluar los...

Recent research has established the importance of perceived (as opposed to actual) returns as a determinant of educational investments. We analyze data from India to highlight gender disparities in the perceived returns to education and the salience of productive characteristics.

Model averaging (MA) estimators in the linear instrumental variables regression framework are considered. The obtaining of weights for averaging across individual estimates by direct smoothing of selection criteria arising from the estimation stage is proposed. This is particularly relevant in...

This paper estimates the health returns to schooling, using a twin design. For this purpose, I use data on monozygotic twins from the Midlife in the United States survey. The results suggest that completing high school improves health, as measured through self-reported health, chronic...

Estimating a return to education für Germany as a whole gives one return on human capital on average. This article extends the existing literature using a regional perspective. On a federal-state-level the regional returns are estimable. Therefore the dataset is separated due to regional...

After three years in college, football players face a trade-off between spending more time in college and pursuing a career in the National Football League (NFL). We analyze the salaries for rookies in the NFL and instrument the endogenous decision to enter the professional market with the month...