peace {rbw}R Documentation

Data on Public Support for War in a Sample of US Respondents

Description

A dataset containing 17 variables on the views of 1,273 US adults about their support for war against countries that were hypothetically developing nuclear weapons. The data include several variables on the country's features and respondents' demographic and attitudinal characteristics (Tomz and Weeks 2013; Zhou and Wodtke 2020).

Usage

peace

Format

A data frame with 1,273 rows and 17 columns:

threatc

number of adverse events respondents considered probable if the US did not engage in war

ally

a dummy variable indicating whether the country had signed a military alliance with the US

trade

a dummy variable indicating whether the country had high levels of trade with the US

h1

an index measuring respondent's attitude toward militarism

i1

an index measuring respondent's attitude toward internationalism

p1

an index measuring respondent's identification with the Republican party

e1

an index measuring respondent's attitude toward ethnocentrism

r1

an index measuring respondent's attitude toward religiosity

male

a dummy variable indicating whether the respondent is male

white

a dummy variable indicating whether the respondent is white

age

respondent's age

ed4

respondent's education with categories ranging from high school or less to postgraduate degree

democ

a dummy variable indicating whether the country was a democracy

strike

a measure of support for war on a five-point scale

cost

number of negative consequences anticipated if the US engaged in war

successc

whether the respondent thought the operation would succeed. 0: less than 50-50 chance of working even in the short run; 1: efficacious only in the short run; 2: successful both in the short and long run

immoral

a dummy variable indicating whether respondents thought it would be morally wrong to strike the country

References

Tomz, Michael R., and Jessica L. P. Weeks. 2013. Public Opinion and the Democratic Peace. The American Political Science Review 107(4):849-65.

Zhou, Xiang, and Geoffrey T. Wodtke. 2020. Residual Balancing: A Method of Constructing Weights for Marginal Structural Models. Political Analysis 28(4):487-506.


[Package rbw version 0.3.2 Index]