Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches |
| |
Authors: | Tanya O’Garra Susana Mourato |
| |
Institution: | (1) Centre for Environmental Policy, Imperial College London, Prince Consort Road, London, SW7 2BP, UK |
| |
Abstract: | We use a quantile regression (QR) approach to analyse contingent valuation estimates of public willingness to pay (WTP) for
the air and noise pollution reductions associated with the introduction of hydrogen buses in London. QR results show that
variables that were not significant in interval regression or ordinary least squares regression become significant at certain
quantiles along the WTP distribution. In addition, the determinants of WTP at the lower tail of the distribution differ from
those at the higher end of the distribution. Our findings illustrate the usefulness of quantile regression methods for analysing
contingent valuation data, enhancing our understanding of the determinants of willingness to pay. |
| |
Keywords: | contingent valuation hydrogen interval data OLS quantile regression |
本文献已被 SpringerLink 等数据库收录! |