mpdta

A dataset containing (the log of) teen employment in 500 counties
in the U.S. from 2003 to 2007. This is a subset of the dataset used in Callaway and
Sant'Anna (2021). See that paper for additional descriptions.

datasets

The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.

Brantly Callaway

Treatment Effects with Multiple Periods and Groups

Pedro H. C. Sant'Anna

mpdta function

A data frame with 2500 rows and 6 variables:<dl>
<dt>year</dt>
<dd>the year of the observation</dd><dt>countyreal</dt>
<dd>a unique identifier for a particular county</dd><dt>lpop</dt>
<dd>the log of 1000s of population for the county</dd><dt>lemp</dt>
<dd>the log of teen employment in the county</dd><dt>first.treat</dt>
<dd>the year that the state where the county is located
raised its minimum wage, it is set equal to 0 for counties that have
minimum wages equal to the federal minimum wage over the entire
period.</dd><dt>treat</dt>
<dd>whether or not a particular county is ever treated
during the sample period. It is time-invariant within each county
and equal to 1 exactly when first.treat is positive; it is not a
year-specific treatment indicator.</dd>
</dl>

Format

County Teen Employment Dataset — mpdta

A data frame with 2500 rows and 6 variables:<dl>
<dt>year</dt>
<dd>the year of the observation</dd>

<dt>countyreal</dt>
<dd>a unique identifier for a particular county</dd>

<dt>lpop</dt>
<dd>the log of 1000s of population for the county</dd>

<dt>lemp</dt>
<dd>the log of teen employment in the county</dd>

<dt>first.treat</dt>
<dd>the year that the state where the county is located
raised its minimum wage, it is set equal to 0 for counties that have
minimum wages equal to the federal minimum wage over the entire
period.</dd>

<dt>treat</dt>
<dd>whether or not a particular county is ever treated
during the sample period. It is time-invariant within each county
and equal to 1 exactly when first.treat is positive; it is not a
year-specific treatment indicator.</dd>


</dl>

mpdta: County Teen Employment Dataset

Description

Usage

Arguments

Format