MEM Lunch and Learn: Economic Choice Models to Learn Customer Preferences (R. Daziano)

This talk will overview supervised statistical learning of customer preferences through choice experiments and discrete choice models. Empirical applications of inference on economic value of this non-market valuation technique will be covered to illustrate how these econometric tools are used in practice.

About Ricardo Daziano

Ricardo Daziano, PhD is Associate Professor of Civil and Environmental Engineering at Cornell University. Dr. Daziano is a choice modeler working on deriving Bayesian and semiparametric estimators for economic models of customer decisions in engineering contexts. He leads research with a unique focus on applied econometrics of consumer choices around energy efficiency. Dr. Daziano’s empirical goal is to better understand the interaction of consumer behavior and engineering, investment, and policy choices for energy-efficient technologies and sustainability, especially in transportation. Ricardo Daziano holds a PhD in Economics from Laval University.

Content Categories: Presentations
Creation Date: February 12, 2024
Creator 1 First Name: Ricardo
Creator 1 Last Name: Daziano
Creator 1 Role: Faculty or Staff Member
Language: English
Rights Statement: The content is provided only for educational purposes, it is not intended to render any legal, business, or financial advice to the viewer or to the public. The views and opinions expressed are those of the speaker and do not necessarily represent the official position or policy of Cornell University or the M.Eng. in Engineering Management (MEM) Program. Although we make strong efforts to make sure our information is accurate, MEM cann… Show More
Searchable: Yes
Searchable On: Cornell Web Search
Landing Page: https://www.engmanagement.cornell.edu/em
Appears In: M.Eng. in Engineering Management (MEM) Program

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MEM Lunch and Learn: Economic Choice Models to Learn Customer Preferences (R. Daziano)

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