pop_data_full: World Value Survey India Sample
In DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks

pop_data_full

R Documentation

World Value Survey India Sample

Description

Extended World Value Survey (WVS) Data for India in 1995, 2001, 2006, 2012, and 2022.

Usage

data(pop_data_full)

Format

`pop_data_full`

A data frame with 11,813 rows and 13 columns:

female: Respondent’s Sex.
age: Age of respondent.
income: income group of Household.
religion: Religious denomination
practicing_religion: Importance of religion in respondent’s life.
education: Educational level of respondent.
political_ideology: Political ideology of respondent.
employment: Employment status and full-time employee.
marital_status: Marital status of respondent.
job_loss: Concern about job loss.
support_war: Binary (Yes/No) outcome measure for willingness to fight war.
strong_leader: Binary measure of preference for strong leader.

...

Source

Haerpfer, C., Inglehart, R., Moreno, A., Welzel, C., Kizilova, K., Diez-Medrano J., M. Lagos, P. Norris, E. Ponarin & B. Puranen et al. (eds.). 2020. World Values Survey: Round Seven – Country-Pooled Datafile. Madrid, Spain & Vienna, Austria: JD Systems Institute & WVSA Secretariat. <doi.org/10.14281/18241.1>

DeepLearningCausal documentation built on Sept. 11, 2024, 8:40 p.m.