Do ski resorts fudge the data?
The Dartmouth
Don’t always believe what the ski resorts tell you.
Two Dartmouth economics professors have found that ski resorts tend to exaggerate their reported snowfall, especially on weekends. The professors presented their study at a National Bureau of Economic Research conference over the summer.
The study's authors, Jonathan Zinman and Eric Zitzewitz, found that ski resorts report 23 percent more snowfall on weekends, which, according to their analysis, does not correlate with government precipitation data.
Ski resorts that "reap greater benefits" from increased snow reports tend to exaggerate more frequently, Zinman and Zitzewitz found. Resorts that have a large population within driving distance, for example, exhibited a greater “weekend effect,” according to the report.
Parker Riehle, president of the Vermont Ski Area Association, told Vermont Public Radio that the study compares data from different elevations, leading to unfair conclusions.
Zitzewitz, however, said in an interview with The Dartmouth that the weekend effect the study captures cannot be attributed to a consistent discrepancy in the data.
He also said that the weather stations used for comparison in the study were close to the corresponding ski resorts both in terms of elevation and horizontal distance.
"We were very careful to match resorts with weather stations that aren't very far away," he said.
The report also examines the effect of a new iPhone application on resort snowfall reports. The application, released on Jan. 8 by SkiReport.com, allows users to comment on ski conditions. Users’ posts appear below the reported snowfall on Ski Report’s web site.
Usage of the application "increased dramatically following the feature launch," according to the study, and led to a sharp decline in the measured weekend effect.
The decline, however, was only evident at ski resorts that have adequate data coverage to allow for iPhone use.
Zitzewitz said he and Zinman chose to investigate the issue because it offered the ability to look at advertised quality and "observe objectively what the true quality was.”
"The academically interesting thing about this study is it's an opportunity to study deceptive advertising empirically," he said.