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SUMMARY:Conditional-logit Bayes estimators for consumer valuation of elect
 ric vehicle driving range
DTSTART:20110708T101500
DTSTAMP:20260406T214519Z
UID:c2ae022ac9b41584ad590fa0c692e2131ec34420ce06a5c292afbc37
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Ricardo A. Daziano\nRange anxiety - consumers' concerns 
 about limited driving range - is generally considered an important barrier
  to the adoption of electric vehicles. If consumers cannot overcome these 
 fears it is unlikely that they will consider purchasing an electric car. H
 ence  for planning a successful introduction of low emission vehicles in t
 he market it becomes essential to fully understand consumer valuation of d
 riving range. Analyzing experimental data on vehicle purchase decisions in
  California  in this paper I derive and study the statistical behavior of 
 three Bayes estimates that summarize consumer concerns toward limited driv
 ing range. Independence Metropolis-Hastings appears as a well-behaved samp
 ler for nonlinear transformations of the marginal utilities. One of the em
 pirical results is the posterior distribution of the driving range that ma
 kes an electric vehicle equivalent to internal combustion vehicles. Intere
 stingly  this posterior is centered at driving range parity. The credible 
 interval for the willingness to pay for an increase in range is also analy
 zed.\nBio\nDr. Ricardo A. Daziano is a specialist in theoretical and appli
 ed microeconometrics of consumer behavior  specifically on discrete choice
  models applied to sustainable behavior  technological innovation  and tra
 nsportation demand. Daziano's specific empirical research interests includ
 e the analysis of pro-environmental preferences toward low-emission vehicl
 es  modeling the adoption of sustainable behavior  estimating willingness-
 to-pay for renewable energy  and forecasting consumers' response to enviro
 nmentally-friendly energy sources. Daziano completed his undergraduate stu
 dies and a masters' degree in engineering in Santiago at the University of
  Chile. After working four years as a demand analyst consultant in the pri
 vate sector  he decided to pursue an academic career in discrete choice mo
 deling. In 2010 he completed a PhD in economics at Université Laval in Qu
 ébec City  with a specialty in econometrics and industrial organization. 
 In January 2011 he joined the faculty of the School of Civil and Environme
 ntal Engineering at Cornell University  adding a new dimension to the area
  of sustainable systems engineering in both teaching and research. Additio
 nally  Daziano continues to serve as a consultant in consumer choice model
 ing in areas such as transportation and sustainable tourism.
LOCATION:GC B3 424 (Bâtiment GC)
STATUS:CONFIRMED
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