The cost and response rate are two major concerns with the face-to-face interview and survey instrument in collecting data in recreational studies, respectively. With the advancement of web technology and an increase use of the web, a survey response collected through the web can be a viable low-cost alternative to the traditional mode of data collection. However, the reliability of the information obtained from an internet survey remains questionable. The authors employed a stochastic frontier regression model to calibrate the values obtained from the web-based survey. The researchers compared these values to the values obtained from on-site survey. The authors extended the analysis to estimate the economic impact of a nature based recreation on a local economy. The results indicate that with a careful calibration, a web-based survey can be used to understand the recreational use of respondents as well as to calculate the economic impacts of recreation-spending on a local economy.