hbal-data

<p>The contenderJudges dataset is from Black and Owens (2016): Courting the president: how circuit court judges alter their behavior for promotion to the Supreme Court
This dataset includes 10,171 period-judge observations for a total of 68 judges.
The treatment variable of interest is <code>treatFinal0</code>, which indicates whether there was a vacancy in the Supreme Court
The outcome of interest is ideological alignment of judges' votes with the sitting President (<code>presIdeoVote</code>).
The remaining variables are characteristics of the judges and courts, to be used as controls.</p>
<p>The LaLonde dataset has treated units from Dehejia and Wahba (1999), containing 185 individuals; data on the control units is from Panel Study
of Income Dynamics (PSID-1), containing 2,490 individuals.</p>

datasets

Implements hierarchically regularized entropy balancing proposed by Xu and Yang (2022) <doi:10.1017/pan.2022.12>. The method adjusts the covariate distributions of the control group to match those of the treatment group. 'hbal' automatically expands the covariate space to include higher order terms and uses cross-validation to select variable penalties for the balancing conditions.

hbal-data: Data from Black and Owens (2016) and Hazlett (2020)

Description

Usage

Arguments