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JOURNAL OF APPLIED BUSINESS AND ECONOMICS
The Effect of Tax Credit Policy on Electric Vehicle Sales: A Synthetic Control Approach Using Bayesian Structural Time Series
Author(s): Atia Ferdousee
Citation: Atia Ferdousee, (2020) "The Effect of Tax Credit Policy on Electric Vehicle Sales: A Synthetic Control Approach Using Bayesian Structural Time Series," Journal of Applied Business and Economics, Vol. 22, Iss.13, pp. 201-214
Article Type: Research paper
Publisher: North American Business Press
Abstract:
The government is intervening in automobile markets to reduce greenhouse gas emissions in many countries. Several tax incentive programs, at both federal and state level, are being effective for the adoption of environment-friendly vehicles over the past few years. Previous studies in this field focused on discrete choice models analyzing such policies. In this study, however, I employed a Bayesian structural forecasting model to construct a synthetic control to test the effects of state-level tax credit policy in Maryland using a unique time-series data set of vehicle sales records. I observed a significant positive policy effect on electric vehicle sales.
