A Modern Approach for Measuring Environmental, Social, and Governance Preferences
Name
Metzman-zmetzman-meng-eecs-2021-thesis.pdf
Description
Thesis PDF
Size
24.89 MB
Format
Adobe PDF
Checksum (MD5)
cb3a2494ee824c696b94ea31c1965aea
Author(s)
Metzman, Zachary M.
Advisor(s)
Rigobon, Roberto
Date Issued
June 2021
Publisher
Massachusetts Institute of Technology
Abstract
With the rapid growth of Environmental, Social, and Governance (ESG) investing, several concerns have been raised regarding the ability of ESG rating companies and investment managers to accurately and transparently reflect the ESG preferences of individual and institutional clients. To address this issue, we developed the ESG Machine, a website used to measure ESG preferences by applying methods from revealed preference theory. In a short time, this website gathered 17,248 decision observations from 800 individuals in 55 countries. A subset of this data is used to better understand the importance of measuring ESG preferences and how preferences vary by demographic. We first measure the rationality of individuals and the relationship to demographics and response time. Second, we examine donation amounts and the impact of prices as well as the equality and efficiency tendencies of individuals. Third, for each individual we estimate the parameters of a two-good Constant Elasticity of Substitution (CES) utility function and analyze the substitution parameters and the preferences towards the social and environmental causes. Fourth, for more than two goods we apply nested CES functions to estimate the aggregate preferences of all individuals and demographic clusters. We find that it is important to measure ESG preferences to improve the accuracy and transparency of ESG investing.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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