Date of Award

8-2023

Degree Type

Report

Degree Name

Master of Science (MS)

Department

Economics and Finance

Committee Chair(s)

Chris Fawson

Committee

Chris Fawson

Committee

Briggs Depew

Committee

T. Scott Findley

Committee

Reza Oladi

Abstract

This paper investigates the factors influencing the adoption of electric vehicles (EVs) using panel data from California. The analysis employs a panel data model with within effects to examine the relationship between EV adoption rates and various socio-economic factors. The continued analysis gives out-of-sample forecasted results for the 4 counties with the highest share of electric vehicles registered in 2021. Additionally, the paper explores the influence of supply-side issues and complementary infrastructure on EV adoption. An introduction to Hidden Markov Methods is then given as the next step in the research.

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