Daziano's research focuses on engineering decision making, specifically on theoretical and applied econometrics of consumer behavior and discrete choice models applied to technological innovation in transportation and energy. Daziano's specific empirical research interests include the analysis of air travel demand, the study of pro-environmental preferences toward low-emission vehicles, modeling the adoption of sustainable travel behavior, estimating willingness-to-pay for renewable energy, and forecasting consumers' response to environmentally-friendly energy sources.
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Daziano teaches graduate courses in Microeconometrics of Discrete Choice and Transportation Energy Systems, and an undergraduate course in Engineering Economics and Management. Topics covered in his classes include economic models of decision making for engineering, analysis of choice microdata, statistical point and interval estimation, simulation-aided inference (Monte Carlo techniques), Bayesian econometrics, nonlinear optimization, and advanced numerical methods. He also teaches a Freshman Engineer Advising Seminar.
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