line.searcher

Base.weight

Co.x

Tr.total

coefs

Newton

<p>Function called internally by <code>ebalance</code> and <code>ebalance.trim</code> to compute optimal step length for entropy balancing algorithm. This function would normally not be called manually by a user.</p>

Package implements entropy balancing, a data preprocessing procedure described in Hainmueller (2008, <doi:10.1093/pan/mpr025>) that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.

Jens Hainmueller

ebal

Entropy Reweighting to Create Balanced Samples

line.searcher function

Optimal step length search for entropy balancing algorithm — line.searcher

Optimal step length search for entropy balancing algorithm

line.searcher: Optimal step length search for entropy balancing algorithm

Description

Usage

Arguments

Value

See Also

Examples