social_insure

The <code>social_insure</code> data contains data from Jai, De Janvry, and Saoudlet (2015) on a two-round social network-based experiment on getting farmers to get insurance. See the paper for more details.

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

social_insure function

A data frame with 1410 rows and 13 variables<dl class="dl-horizontal">
 <dt>address</dt><dd>Natural village</dd>
 <dt>village</dt><dd>Administrative village</dd>
 <dt>takeup_survey</dt><dd>Whether farmer ended up purchasing insurance. (1 = yes)</dd>
 <dt>age</dt><dd>Household Characteristics - Age</dd>
 <dt>agpop</dt><dd>Household Characteristics - Household Size</dd>
 <dt>ricearea_2010</dt><dd>Area of Rice Production</dd>
 <dt>disaster_prob</dt><dd>Perceived Probability of Disasters Next Year</dd>
 <dt>male</dt><dd>Household Caracteristics: Gender of Household Head (1 = male)</dd>
 <dt>default</dt><dd>"Default option" in experimental format assigned to. (1 = default is to buy, 0 = default is to not buy)</dd>
 <dt>intensive</dt><dd>Whether or not was assigned to "intensive" experimental session (1 = yes)</dd>
 <dt>risk_averse</dt><dd>Risk aversion measurement</dd>
 <dt>literacy</dt><dd>1 = literate, 0 = illiterate</dd>
 <dt>pre_takeup_rate</dt><dd>Takeup rate prior to experiment</dd>
</dl>

Format

Data from "Social Networks and the Decision to Insure" — social_insure

A data frame with 1410 rows and 13 variables<dl class='dl-horizontal'>
 <dt>address</dt><dd>Natural village</dd>
 <dt>village</dt><dd>Administrative village</dd>
 <dt>takeup_survey</dt><dd>Whether farmer ended up purchasing insurance. (1 = yes)</dd>
 <dt>age</dt><dd>Household Characteristics - Age</dd>
 <dt>agpop</dt><dd>Household Characteristics - Household Size</dd>
 <dt>ricearea_2010</dt><dd>Area of Rice Production</dd>
 <dt>disaster_prob</dt><dd>Perceived Probability of Disasters Next Year</dd>
 <dt>male</dt><dd>Household Caracteristics: Gender of Household Head (1 = male)</dd>
 <dt>default</dt><dd>"Default option" in experimental format assigned to. (1 = default is to buy, 0 = default is to not buy)</dd>
 <dt>intensive</dt><dd>Whether or not was assigned to "intensive" experimental session (1 = yes)</dd>
 <dt>risk_averse</dt><dd>Risk aversion measurement</dd>
 <dt>literacy</dt><dd>1 = literate, 0 = illiterate</dd>
 <dt>pre_takeup_rate</dt><dd>Takeup rate prior to experiment</dd>
</dl>

social_insure: Data from "Social Networks and the Decision to Insure"

Description

Usage

Arguments

Format

Details

References