代表性样本和便利性样本中的假设偏差缓解

IF 3.3 2区经济学 Q2 AGRICULTURAL ECONOMICS & POLICY

Applied Economic Perspectives and Policy Pub Date : 2023-05-18 DOI:10.1002/aepp.13374

Jerrod M. Penn, Daniel R. Petrolia, J. Matthew Fannin

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引用次数: 5

摘要

这是一个案例研究，比较了基于概率的代表性样本与非概率便利样本的结果，以评估墨西哥湾居民的海滩状况信息。我们测试了几种用于调整假设偏差和样本权重以降低假设支付意愿(WTP)的技术的有效性。加权使得两个样本之间的WTP相似，但拒绝了解释变量显著性方面的模型等价性。结果支持使用确定性跟踪，这始终减少WTP，无论抽样方法或加权。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hypothetical bias mitigation in representative and convenience samples

This is a case study comparing outcomes for a probability-based representative sample versus a non-probability convenience sample for the valuation of beach condition information among Gulf of Mexico residents. We test the efficacy of several techniques used to adjust for hypothetical bias and sample weighting to reduce hypothetical willingness to pay (WTP). Weighting makes the WTP between the two samples similar, but model equivalence with respect to the significance of explanatory variables is rejected. The results support the use of certainty follow-ups, which consistently reduced WTP, regardless of the sampling approach or weighting.

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来源期刊

Applied Economic Perspectives and Policy AGRICULTURAL ECONOMICS & POLICY-

CiteScore

10.70

自引率

6.90%

发文量

117

审稿时长

>12 weeks

期刊介绍： Applied Economic Perspectives and Policy provides a forum to address contemporary and emerging policy issues within an economic framework that informs the decision-making and policy-making community. AEPP welcomes submissions related to the economics of public policy themes associated with agriculture; animal, plant, and human health; energy; environment; food and consumer behavior; international development; natural hazards; natural resources; population and migration; and regional and rural development.