LaLonde

This data set gives the outcomes a well as treatment assignments and covariates for the National Supported Work Study, as analyzed in LaLonde (1986).

datasets

FindIt is an R package that implements the heterogeneous
        treatment effect estimation procedure proposed by Imai and
        Ratkovic (2013).  The proposed method is applicable, for
        example, when selecting a small number of most (or least)
        efficacious treatments from a large number of alternative
        treatments as well as when identifying subsets of the
        population who benefit (or are harmed by) a treatment of
        interest. The method adapts the Support Vector Machine
        classifier by placing separate LASSO constraints over the
        pre-treatment parameters and causal heterogeneity parameters of
        interest. This allows for the qualitative distinction between
        causal and other parameters, thereby making the variable
        selection suitable for the exploration of causal heterogeneity.

Marc Ratkovic

FindIt

R Package for Finding Heterogeneous Treatment Effects

LaLonde function

A data frame consisting of 5 columns (including a treatment assignment vector) and 2787 observations.

format

Data from the National Supported Work Study.  A benchmark matching dataset.  Columns consist of an indicator for whether the observed unit was treated; an indicator for whether the individual received the treatment; age in years; schooling in years; indicators for black and Hispanic; an indicator for marriage status, one of married; an indicator for no high school degree; reported earnings in 1975 and 1978; and extrapolation weights to the 1978 Panel Study for Income Dynamics dataset.  1974 and 1975 earnings are pre-treatment.  1978 earnings is taken as the outcome variable.

LaLonde: National Supported Work Study Experimental Data

Description

Usage

Arguments

format

source

References