This paper describes the implementation of Heckman-type sample selection models in R. We discuss the sample selection problem as well as the Heckman solution to it, and argue that although modern econometrics has non- and semiparametric estimation methods in its toolbox, Heckman models are an integral part of the modern applied analysis and econometrics syllabus. We describe the implementation of these models in the package sampleSelection and illustrate the usage of the package on several simulation and real data examples. Our examples demonstrate the effect of exclusion restrictions, identification at infinity and misspecification. We argue that the package can be used both in applied research and teaching.
Sample selection arises when the outcome of interest is partially observed in a study. Although soph...
This paper develops methods of Bayesian inference in a sample selection model. The main feature of t...
It is often the case that an outcome of interest is observed for a restricted non-randomly selected ...
This paper describes the implementation of Heckman-type sample selection models in R. We discuss the...
This paper describes the implementation of Heckman-type sample selection models in R. We discuss the...
The aim of this paper is to describe the implementation and to provide a tutorial for the R package ...
We provide a detailed hands-on tutorial for the R package SemiParSampleSel (version 1.5). The packag...
The aim of this paper is to describe the implementation and to provide a tutorial for the R package ...
Sample selection arises when the outcome of interest is partially observed in a study. A common cha...
Sample selection models deal with the situation in which an outcome of interest is observed for a re...
Sample selection models deal with the situation in which an outcome of interest is observed for a r...
The problem of non-random sample selectivity often occurs in practice in many different fields. In p...
This paper gives a short overview of Monte Carlo studies on the usefulness of Heckman's (1976, 1979)...
Sample selection models attempt to correct for non-randomly selected data in a two-model hierarchy w...
The problem of non-random sample selectivity often occurs in practice in many fields. The classical ...
Sample selection arises when the outcome of interest is partially observed in a study. Although soph...
This paper develops methods of Bayesian inference in a sample selection model. The main feature of t...
It is often the case that an outcome of interest is observed for a restricted non-randomly selected ...
This paper describes the implementation of Heckman-type sample selection models in R. We discuss the...
This paper describes the implementation of Heckman-type sample selection models in R. We discuss the...
The aim of this paper is to describe the implementation and to provide a tutorial for the R package ...
We provide a detailed hands-on tutorial for the R package SemiParSampleSel (version 1.5). The packag...
The aim of this paper is to describe the implementation and to provide a tutorial for the R package ...
Sample selection arises when the outcome of interest is partially observed in a study. A common cha...
Sample selection models deal with the situation in which an outcome of interest is observed for a re...
Sample selection models deal with the situation in which an outcome of interest is observed for a r...
The problem of non-random sample selectivity often occurs in practice in many different fields. In p...
This paper gives a short overview of Monte Carlo studies on the usefulness of Heckman's (1976, 1979)...
Sample selection models attempt to correct for non-randomly selected data in a two-model hierarchy w...
The problem of non-random sample selectivity often occurs in practice in many fields. The classical ...
Sample selection arises when the outcome of interest is partially observed in a study. Although soph...
This paper develops methods of Bayesian inference in a sample selection model. The main feature of t...
It is often the case that an outcome of interest is observed for a restricted non-randomly selected ...