Optimal early-bird discounts and the challenges of diversion

Description

The survey data was collected in February and March 2019 at one of the largest ski resorts in Norway. The data was collected at the ski resort on various weekdays and at different times during the day to avoid sampling bias. As this 'research's main objective is to analyze price–response functions for day passes, a criterion for participating in the survey was that they did not have a season ticket. A total of 779 questionnaires were either partly or fully completed. The questionnaire consisted of a wide range of factors concerning alpine skiing. The main questions regarding Early bird discounts is pre_booking1day - pre_booking2months in the data fil Data_survey_english.dta. The file price-matrix_20230904.dta is based on the file Data-survey-english.dta, and are used for regressions and for estimating price response functions. In January 2021, it was also conducted a price experiment on registered customers at the same ski resort that was used in the survey ( see file Experiment_2021.dta)The purpose was to compare the revealed preferences from an experiment with the stated preferences from the survey. The ski resort used its customer database to select customers in the experiment randomly. The sample size was approximately 21,500, and this sample was divided into 20 subgroups with different pre-booking prices and validity dates. The price offer was sent out by e-mail on January 8th, and the pre-booking periods were 2, 9, 16, and 23 days ahead of the skiing date. The total number of sold day passes in the experiment was 272.

Steps to reproduce

Follow the do-file. See Description.

Institutions

Categories

Funding

Licence