Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 10th Sept 2026, 07:07:13pm CEST (Norway)
External resources will be made available 30 min before a session starts. You may have to reload the page to access the resources.
|
Daily Overview |
| Session | |
|
Preferences and welfare Location: Auditorium K Session Chair: Yingdan Mei, Renmin University of China | |
    | |
Recall bias in recreation demand travel cost data 1: University of Stirling, United Kingdom; 2: Berlin School of Economics and Law (HWR Berlin) This study examines the impact of recall bias on reported recreation trip counts using data from a representative sample of Great Britain residents, focusing on their most recent visit to a coastal space. By systematically varying the reporting period from one to twelve months and collecting data throughout the year, we uniquely control for both the timing of data collection and the reporting period. We make use of this data to uncover patterns in participant recall accuracy and assess how temporal framing influences reported trip frequency. Employing a novel approach, we use local count models with kernel smoothing to investigate recall bias in trip reporting. Our findings reveal that support for different count model assumptions varies with the reporting period, with longer periods favouring a hurdle negative binomial model due to excess zeros. Additionally, we show that reporting period length influences key model outputs, including consumer surplus estimates. These findings provide new insights into the role of recall bias in recreation demand studies and its implications for economic valuation. | |