castle

State-wide panel data from 2000-2010 that has information on castle-doctrine,
the so-called "stand-your-ground" laws that were implemented by 20 states.

datasets

Estimates Two-way Fixed Effects difference-in-differences/event-study models using the approach proposed by Gardner (2021) <doi:10.48550/arXiv.2207.05943>. To avoid the problems caused by OLS estimation of the Two-way Fixed Effects model, this function first estimates the fixed effects and covariates using untreated observations and then in a second stage, estimates the treatment effects.

Kyle Butts

did2s

Two-Stage Difference-in-Differences Following Gardner (2021)

John Gardner

Grant McDermott

Laurent Berge

castle function

A data frame with 550 rows and 5 variables:<dl>
<dt>sid</dt>
<dd>state id, unit of observation</dd><dt>year</dt>
<dd>time in panel data</dd><dt>l_homicide</dt>
<dd>log of the number of homicides per capita</dd><dt>effyear</dt>
<dd>year that castle doctrine is passed</dd><dt>post</dt>
<dd>0/1 variable for when castle doctrine is active</dd><dt>time_til</dt>
<dd>time relative to castle doctrine being passed into law</dd>
</dl>

Format

Data from Cheng and Hoekstra (2013) — castle

A data frame with 550 rows and 5 variables:<dl>
<dt>sid</dt>
<dd>state id, unit of observation</dd>

<dt>year</dt>
<dd>time in panel data</dd>

<dt>l_homicide</dt>
<dd>log of the number of homicides per capita</dd>

<dt>effyear</dt>
<dd>year that castle doctrine is passed</dd>

<dt>post</dt>
<dd>0/1 variable for when castle doctrine is active</dd>

<dt>time_til</dt>
<dd>time relative to castle doctrine being passed into law</dd>


</dl>

castle: Data from Cheng and Hoekstra (2013)

Description

Usage

Arguments

Format