cj_euclid

Description:

R package cj_euclid estimates and graphs a general linear quadratic model to represent preferences from conjoint responses.

Authors:

• Macartan Humphreys (Author)
• Felix Hartmann (Maintainer)

Reference:

• F. Hartmann, M. Humphreys, F. Geissler, H. Klüver, and J. Giesecke. (2022+). Trading Liberties: Estimating Covid policy preferences from conjoint data. (Working Paper).

Installation Instructions

You can install the most recent development version using the devtools package. First you have to install devtools using the following code. Note that you only have to do this once:

if(!require(devtools)) install.packages("devtools")

Then, load devtools and use the function install_github() to install cj_euclid:

remotes::install_github("macartan/cj_euclid")

Get Started

Input is a formula listing outcomes on left-hand side and policy variables on right-hand side as well as a data frame and other arguments.

The assumed model is of the form $u(z) = a + b'z - z'Az$ where b and z are n-vectors and A is an $n * n$ symmetric matrix. If R is positive semi-definite then implied preferences are "Euclidean" and can be represented via $u(z) = k- +(z* - z)'A(z*-z)$.

The elements of a, b and A are estimated using fixest and plotted with ggplot2

 out <-
   cj_euclid(
    rating ~ universal + stringency,
    data = covid_policy_evaluations)

The output is a list containing (1) a model (2) summary information (3) a fitted data frame and (4) a plot. The summary reports the implied weighting. For details, see here.