Abstract
The authors develop a dynamic hedonic regression approach to measuring the evolution of a comparative brand premium (pairwise price difference between two products that are identical in all respects apart from the brand). In contrast to existing approaches, the proposed Bayesian estimation method exploits the premia's intertemporal dependence structure, resulting in a higher level of accuracy of the estimated time paths of the brand premia. In addition, the authors present a novel, but straightforward way to construct confidence bands that cover the entire time series of brand premia with high probability. The authors apply their approach to a large, detailed data set on laser printers, which was gathered on a monthly basis over a 4-year period.
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.
