trains: Experimental effects on attitudes toward immigration

In PPBDS/primer.data: Data for Preceptor's Primer for Bayesian Data Science

Experimental effects on attitudes toward immigration

Description

Data for attitudes toward immigration-related policies, both before and after an experiment which randomly exposed a treated group to Spanish-speakers on a Boston commuter train platform. See Enos (2014) for background and details (pdf). Individuals with a treatment value of "Treated" were exposed to two Spanish-speakers on their regular commute. "Control" individuals were not.

Usage

trains

Format

A tibble with 115 observations and 14 variables:

treatment

factor variable with two levels: "Treated" and "Control"

att_start

Starting attitude toward immigration issues. Uses a 3 to 15 scale, with higher numbers meaning more conservative

att_end

Ending attitude toward immigration issues. Uses a 3 to 15 scale, with higher numbers meaning more conservative

sex

character variable with values "Male" and "Female"

race

character variable with values "Asian", "Black", "Hispanic", and "White"

liberal

logical variable with TRUE meaning liberal

party

character variable with values "Democrat" and "Republican"

age

integer variable for age in years

income

numeric variable for family income in dollars

line

character variable for commuter train line, with values "Framingham" and "Franklin"

station

character variable for train station

hisp_perc

numeric variable for percentage of Hispanic residents in person's zip code

ideology_start

Measure of political ideology, before the experiment, on a 1 to 5 scale, with higher numbers meaning more conservative

ideology_end

Measure of political ideology, after the experiment, on a 1 to 5 scale, with higher numbers meaning more conservative

Author(s)

David Kane

Source

https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DOP4UB

PPBDS/primer.data documentation built on April 9, 2024, 5:36 p.m.