outcome_diff

<p>outcome vector (must be numeric without NA's).</p>

wgt1

<p>Calculates the diffrence between E(Y|I=1) and E(Y|I=0)</p>


Provides both parametric and non-parametric estimates of the
correlates of some desired
outcome (e.g. test scores, income) using a new method proposed by
Danieli, Devi and Fryer (2019). This method relaxes the assumption
that one can alter individual characteristics in any way the data
suggest is optimal, and so can be used anytime one wants to use observational
data to better optimize social experiments designed to increase some desired
outcome.

Elad Guttman

outcome_diff: Outcome difference

Description

Usage

Arguments

Value