Name: Social Networks And The Decision To Insure
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

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.

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.

Tables

Social Insure

@kaggle.utkarshx27_social_networks_and_the_decision_to_insure.social_insure

28.35 kB
1,410 rows
14 columns

CREATE TABLE social_insure (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "address" VARCHAR,
  "village" VARCHAR,
  "takeup_survey" BIGINT,
  "age" DOUBLE,
  "agpop" DOUBLE,
  "ricearea_2010" DOUBLE,
  "disaster_prob" DOUBLE,
  "male" DOUBLE,
  "default" BIGINT,
  "intensive" BIGINT,
  "risk_averse" DOUBLE,
  "literacy" DOUBLE,
  "pre_takeup_rate" DOUBLE
);