exp_data: Survey Experiment of Support for Populist Policy

In DeepLearningCausal: Causal Inference with Super Learner and Deep Neural Networks

Survey Experiment of Support for Populist Policy

Description

Shortened version of survey response data that incorporates a vignette survey experiment. The vignette describes an international crisis between country A and B. After reading this vignette, respondents are randomly assigned to the control group or to one of two treatments: policy prescription to said crisis by strong (populist) leader and centrist (non-populist) leader. The respondents are then asked whether they are willing to support the policy decision to fight a war against country A, which is the dependent variable.

Usage

data(exp_data)

Format

exp_data

A data frame with 257 rows and 12 columns:

female

Gender.

age

Age of participant.

income

Monthly household income.

religion

Religious denomination

practicing_religion

Importance of religion in life.

education

Educational level of participant.

political_ideology

Political ideology of participant.

employment

Employment status of participant.

marital_status

Marital status of participant.

job_loss

Concern about job loss.

strong_leader

Binary treatment measure of leader type.

support_war

Binary outcome measure for willingness to fight war.

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Source

Yadav and Mukherjee (2024)

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