Abstract
This research applies an inverse, almost ideal demand model with seasonal adjustments to estimate price–quantity relationships among major cut flower species traded at the Dutch flower auctions. Trigonometric functions are used as a flexible and efficient alternative to standard seasonal dummies. The estimated price and scale flexibilities were all found to be statistically significant with signs as expected. The demand for all flower groups is inflexible, and most of them are quantity substitutes. Based on the estimated values for price and scale flexibilities, a potential for market timing seems to exist, i.e., flower producers may use easily available calendar information to predict prices and quantities.
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.
