gov_transfers

The <code>gov_transfers</code> data contains data from Manacorda, Miguel, and Vigorito (2011) on government transfer program that was administered based on an income cutoff. Data is pre-limited to households that were just around the income cutoff.

datasets

Example data sets to run the example
problems from causal inference textbooks. Currently, contains data
sets for Huntington-Klein, Nick (2021) "The Effect" <https://theeffectbook.net>,
Cunningham, Scott (2021, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape",
and Hern<c3><a1>n, Miguel and James Robins (2020) "Causal Inference: What If"
<https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

Nick Huntington-Klein

causaldata

Example Data Sets for Causal Inference Textbooks

Malcolm Barrett

gov_transfers function

A data frame with 1948 rows and 5 variables<dl class="dl-horizontal">
 <dt>Income_Centered</dt><dd>Income measure, centered around program cutoff (negative value = eligible)</dd>
 <dt>Education</dt><dd>Household average years of education among those 16+</dd>
 <dt>Age</dt><dd>Household average age</dd>
 <dt>Participation</dt><dd>Participation in transfers</dd>
 <dt>Support</dt><dd>Measure of support for the government</dd>
</dl>

Format

Data from "Government Transfers and Political Support" — gov_transfers

A data frame with 1948 rows and 5 variables<dl class='dl-horizontal'>
 <dt>Income_Centered</dt><dd>Income measure, centered around program cutoff (negative value = eligible)</dd>
 <dt>Education</dt><dd>Household average years of education among those 16+</dd>
 <dt>Age</dt><dd>Household average age</dd>
 <dt>Participation</dt><dd>Participation in transfers</dd>
 <dt>Support</dt><dd>Measure of support for the government</dd>
</dl>

gov_transfers: Data from "Government Transfers and Political Support"

Description

Usage

Arguments

Format

Details

References