作者： Marisa J Mazzotta , James J Opaluch , TA Grigalunas
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摘要: Techniques for correcting biases in CV surveys generally focus on ex ante methods for identifying bias during the survey development process, and adapting the survey in ai. 1 attempt to circumvent the difficulties. Although this is undoubtedly the most effective means of correcting survey biases, it is generally not possible to anticipate and correct every source of bias before the fact. We may also be able to correct biases that are identified after the fact, during the process of data analysis. This paper discusses an attempt to identify and correct for symbolic effects in a survey undertaken to identify public values and priorities for important natural resources of the Peconic Estuary, under the National Estuary Program. The paper discusses the development of the survey, and presents a comparison of different estimation models, including two models that were developed to identify and isolate symbolic components of …