immigrationdesign: Conjoint Design for the Immigration Experiment in Hainmueller...

In cjoint: AMCE Estimator for Conjoint Experiments

Conjoint Design for the Immigration Experiment in Hainmueller et. al. (2014)

Description

A "conjointDesign" object for the randomization scheme used in the immigration conjoint experiment in "Causal Inference in Conjoint Analysis." See immigrationconjoint for the accompanying dataset.

Usage

data("immigrationdesign")

Format

A "conjointDesign" object. See makeDesign for more information about the structure.

Source

Hainmueller, J., Hopkins, D., and Yamamoto T. (2014) Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments. Political Analysis 22(1):1-30

Examples

## Not run: 
# Loads the immigrationconjoint dataset and the immigrationdesign object
data("immigrationconjoint")
data("immigrationdesign")

# immigrationdesign is passed to the amce() function through the "design" argument.
results <- amce(Chosen_Immigrant ~  Gender + Education + `Language Skills` + 
                `Country of Origin` + Job + `Job Experience` + `Job Plans` + 
                `Reason for Application` + `Prior Entry`, data=immigrationconjoint, 
                cluster=TRUE, respondent.id="CaseID", design=immigrationdesign)


## End(Not run)

cjoint documentation built on Aug. 22, 2023, 9:09 a.m.