文章基本信息

标题：Calibrating Online Survey Sample for Economic Impact Analysis
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作者：Devkota, Nirmala ; Paudel, Krishna P. ; Fannin, James Matthew 等
期刊名称：Journal of Food Distribution Research
印刷版ISSN：0047-245X
出版年度：2007
期号：SUPPL
出版社：Food Distribution Research Society
摘要：Online surveys have emerged as low-cost data collection approach in empirical researches; however, the validity of data remains questionable. Therefore, we employed a stochastic frontier estimation method to calibrate online recreational expenditure. Study results suggested the presence of inefficiency on online surveys. Analysis was extended to estimate economic impact of nature based recreation on a local economy.
关键词：calibration;online survey;onsite survey;stochastic frontier approach