close_college

Data from the National Longitudinal Survey Young Men Cohort. This data is used to estimate the effect of college education on earnings, using the presence of a nearby (in-county) college as an instrument for college attendance.

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

close_college function

A data frame with 3010 rows and 8 variables<dl class="dl-horizontal">
<dt>lwage</dt><dd>Log wages</dd>
<dt>educ</dt><dd>Years of education</dd>
<dt>exper</dt><dd>Years of work experience</dd>
<dt>black</dt><dd>Race: Black</dd>
<dt>south</dt><dd>In the southern United States</dd>
<dt>married</dt><dd>Is married</dd>
<dt>smsa</dt><dd>In a Standard Metropolitan Statistical Area (urban)</dd>
<dt>nearc4</dt><dd>There is a four-year college in the county</dd>
</dl>

Format

Data from Card (1995) to estimate the effect of college education on earnings — close_college

A data frame with 3010 rows and 8 variables<dl class='dl-horizontal'>
<dt>lwage</dt><dd>Log wages</dd>
<dt>educ</dt><dd>Years of education</dd>
<dt>exper</dt><dd>Years of work experience</dd>
<dt>black</dt><dd>Race: Black</dd>
<dt>south</dt><dd>In the southern United States</dd>
<dt>married</dt><dd>Is married</dd>
<dt>smsa</dt><dd>In a Standard Metropolitan Statistical Area (urban)</dd>
<dt>nearc4</dt><dd>There is a four-year college in the county</dd>
</dl>

close_college: Data from Card (1995) to estimate the effect of college education on earnings

Description

Usage

Arguments

Format

Details

References