boot_ci

boot.res

alpha

<p>Calculates bootstrap confidence intervals for matrix of bootstrap replicates</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

optinterv

Optimal Intervention

Oren Danieli

boot_ci function

Bootstrap Confidence Intervals — boot_ci

Bootstrap Confidence Intervals

boot_ci: Bootstrap Confidence Intervals

Description

Usage

Arguments

Value