This package allows researchers to estimate the causal effects of attributes in conjoint survey experiments. It implements the Average Marginal Component-specific Effects (AMCE) estimator presented in 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
Authors: Soubhik Barari, Elissa Berwick, Jens Hainmueller, Daniel Hopkins, Sean Liu, Anton Strezhnev, Teppei Yamamoto
Maintainer: Anton Strezhnev <astrezhnev@uchicago.edu>
| Package: | cjoint |
| Type: | Package |
| Version: | 2.1.1 |
| Date: | 2023-08-21 |
| License: | GPL (>= 2) |
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