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Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches

Tanya O’Garra and Susana Mourato ()
Authors registered in the RePEc Author Service: Tanya O'Garra

Environmental & Resource Economics, 2007, vol. 36, issue 4, 389-411

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. Copyright Springer Science+Business Media, Inc. 2007

Keywords: contingent valuation; hydrogen; interval data; OLS; quantile regression (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (27)

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DOI: 10.1007/s10640-006-9024-0

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