This paper presents semiparametric estimators for treatment effects parameters when selection to treatment is based on observable characteristics. The parameters of interest in this paper are those that capture summarized ...

This paper presents semiparametric estimators of changes in inequality measures of a dependent variable distribution taking into account the possible changes on the distributions of covariates. When we do not impose ...

This article examines wording effects when positive and negative worded items are includedin psychological assessment. Wordings effects have been analyzed in the literature usingstatistical approaches based on population ...

In this paper we propose a new Monte Carlo EM algorithm to compute maximum likelihood estimates in the context of random effects models. The algorithm involves the construction of efficient sampling distributions for the ...

The estimation of the average effect of a program or treatment on a variable of interest is an important tool for the assessment of economic policies. In general, assignment of potential participants to treatment does not ...

In the Regression Discontinuity (RD) design,discontinuities in the density function of the running variable may harm identification and bias estimations as in the manipulation and heaping cases. This paper proposes a ...

In the Regression Discontinuity (RD) design, discontinuities in the density function of the running variable may harm identification and bias estimations as in the manipulation and heaping cases. This first paper proposes ...

We present a first approach to a new method to compute the motion estimation in digital videos using the two-dimensional instantaneous frequency information computed using amplitude-modulation frequency-modulation (AM-FM) ...

We present a new approach to compute the motion estimation in digital videos using 2D amplitude-modulation frequency-modulation (AM-FM) methods. The optical flow vectors are computed using an iteratively reweighted norm ...