rebp

Subset of Lalive (2008) data for individuals in the regions affected by the
REBP program

datasets

Honest and nearly-optimal confidence intervals in fuzzy and sharp
regression discontinuity designs and for inference at a point based on local
linear regression. The implementation is based on Armstrong and Kolesár (2018)
<doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018)
<doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.

Michal Koles<c3><a1>r

RDHonest

Honest Inference in Regression Discontinuity Designs

Michal Kolesár

Tim Armstrong

rebp function

A data frame with 29,371 rows and 4 variables:<dl>
 <dt>age</dt>
<dd>Age in years, at monthly accuracy</dd> <dt>period</dt>
<dd>Indicator for whether REBP is in place</dd> <dt>female</dt>
<dd>Indicator for female</dd> <dt>duration</dt>
<dd>unemployment duration in weeks</dd> 
</dl>

Format

Austrian unemployment duration data from Lalive (2008) — rebp

A data frame with 29,371 rows and 4 variables:<dl>
 <dt>age</dt>
<dd>Age in years, at monthly accuracy</dd>

 <dt>period</dt>
<dd>Indicator for whether REBP is in place</dd>

 <dt>female</dt>
<dd>Indicator for female</dd>

 <dt>duration</dt>
<dd>unemployment duration in weeks</dd>

 
</dl>

rebp: Austrian unemployment duration data from Lalive (2008)

Description

Usage

Arguments

Format

References