Abstract
Hedonic valuation of urban amenities often requires estimating housing and labor market regressions. It is difficult to get both types of data for all survey respondents. We show that common practice of handling the unbalanced data by conducting two separate regressions can lead to inconsistent covariance matrix estimation and improper inference regarding confidence intervals for amenity values. We then demonstrate how two easily-implementable yet consistent techniques can be used for hedonic valuation with an application in valuing temperature increases in urban Brazil. All techniques estimate a net positive marginal value of a temperature increase. Unlike the separate equation estimation, however, techniques using a consistent covariance estimator are unable to reject at the 5 percent level the null hypothesis of a zero welfare effect.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
