cregg (version 0.4.0)

taxes: Tax Preference Conjoint Experiment Dataset from Ballard-Rosa et al. (2016)

Description

A dataset containing the results of a fully randomized conjoint survey of a representative sample of 2000 American adults who were asked to choose between alternative tax rate policies. Variables taxrate1-taxrate6 refer to tax rates for different income brackets and taxrev refers to levels of total tax revenue.

Usage

data(taxes)

Format

A data frame (with additional “cj_df” class) with 32000 observations on the following 13 variables. Each row corresponds to a single profile presented to a respondent.

chose_plan

A numeric vector denoting whether the immigrant profile was selected (=1) or not (=0).

taxrate1

An experimental factor with levels “<10k: 0%”, “<10k: 5%”, “<10k: 15%”, “<10k: 25%”.

taxrate2

An experimental factor with levels “10-35k: 5%”, “10-35k: 15%”, “10-35k: 25%”, “10-35k: 35%”.

taxrate3

An experimental factor with levels “35-85k: 5%”, “35-85k: 15%”, “35-85k: 25%”, “35-85k: 35%”.

taxrate4

An experimental factor with levels “85-175k: 5%”, “85-175k: 15%”, “85-175k: 25%”, “85-175k: 35%”.

taxrate5

An experimental factor with levels “175-375k: 5%”, “175-375k: 15%”, “175-375k: 25%”, “175-375k: 35%”, “175-375k: 45%”.

taxrate6

An experimental factor with levels “>375k: 5%”, “>375k: 15%”, “>375k: 25%”, “>375k: 35%”, “>375k: 45%”, “>375k: 55%”.

taxrev

An experimental factor with levels “<75%”, “75-95%”, “95-105%”, “105-125%”, “>125%”.

inequality_aversion

A covariate specifying whether respondent is inequality averse (=1) or not (=0).

taxes_harm_economy

A covariate specifying whether respondent believes taxes harm the economy (=1) or not (=0).

partyid

A factor specifying the respondent's party identification; one of “Independent”, “Democrat”, “Republican”.

ID

A numeric vector indicating the respondent to which the profile corresponds.

weight

A numeric vector containing survey weights.

See Also

cj immigration cj_df

Examples

# NOT RUN {
data("taxes")
f1 <- chose_plan ~ taxrate1 + taxrate2 + taxrate3 + 
        taxrate4 + taxrate5 + taxrate6 + taxrev
cj(taxes, f1, id = ~ ID, weights = ~     weight)
# }