social_insure: Data from "Social Networks and the Decision to Insure"
In causaldata: Example Data Sets for Causal Inference Textbooks

social_insure

R Documentation

Data from "Social Networks and the Decision to Insure"

Description

The social_insure 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.

Usage

social_insure

Format

A data frame with 1410 rows and 13 variables

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

Details

This data is used in the Instrumental Variables chapter of The Effect.

Source

Cai, J., De Janvry, A. and Sadoulet, E., 2015. Social networks and the decision to insure. American Economic Journal: Applied Economics, 7(2), pp.81-108.