We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear time-series models. We assume that both the number of covariates in the model and the number of candidate variables can increase with the sample size (polynomially or geometrically). In other...

We examine the extent to which education is a main determinant of affluence in Brazil. We focus on workers in the top 1% of the labor earnings distribution. We use university courses data from the Sample Questionnaire of the 2010 Census. Our main conclusion is that while education may be...

Several methods have recently been proposed in the ultra high frequency financial literature to remove the effects of microstructure noise and to obtain consistent estimates of the integrated volatility (IV) as a measure of ex-post daily volatility. Even bias-corrected and consistent realized...