Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles

摘要: Abstract According to intuition and theories of diffusion, consumer preferences develop along with technological change. However, most economic models designed for policy simulation unrealistically assume static preferences. To improve the behavioral realism an energy–economy model, this study investigates “neighbor effect,” where a new technology becomes more desirable as its adoption widespread in market. We measure effect change aggregated willingness pay under different levels penetration. Focusing on hybrid-electric vehicles (HEVs), online survey experiment collected stated preference (SP) data from 535 Canadian 408 Californian vehicle owners hypothetical market conditions. Revealed (RP) was same respondents by eliciting year, make model recent purchases regions degrees HEV popularity: Canada 0.17% share, California 3.0% share. compare choice estimated RP only three joint SP–RP estimation techniques, each assigning weight influence SP coefficient estimates. Statistically, allowing outperform influenced models. results suggest that because is afflicted multicollinearity, techniques allow beta estimates while maintaining calibrating class constraints produce realistic pay. Furthermore, also translate parameters CIMS, sensitivity simulations.