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.

References

Huntington-Klein. 2021. The Effect: An Introduction to Research Design and Causality. https://theeffectbook.net.