WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys

In some, but not all, contexts, respondents to stated preference valuation studies state a willingness to pay (WTP) higher than what lab or field experiments indicate is the actual amount they would pay. However, several ex ante survey design strategies and ex post calibration techniques can be used...

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Main Author: John B. Loomis
Format: Article
Language:English
Published: Western Agricultural Economics Association 2014-04-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/168258
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spelling doaj-a6e2c03ce57a4d5498e0fb04a9263a432020-11-24T23:59:38ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82852014-04-01391344610.22004/ag.econ.168258168258WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference SurveysJohn B. LoomisIn some, but not all, contexts, respondents to stated preference valuation studies state a willingness to pay (WTP) higher than what lab or field experiments indicate is the actual amount they would pay. However, several ex ante survey design strategies and ex post calibration techniques can be used to minimize or eliminate hypothetical bias. This article reviews and presents evidence on the effectiveness of these ex ante and ex post approaches. The ex ante approaches lead to recommendations to modify survey designs to minimize the bias up front. If the analyst desires, ex post calibration of WTP using certainty scales can be used to reduce stated WTP to the point at which it will match actual cash contributions.https://ageconsearch.umn.edu/record/168258choice experimentsconjoint analysiscontingent valuationhypothetical biasmeta-analysisnonmarket valuationstated preference methods
collection DOAJ
language English
format Article
sources DOAJ
author John B. Loomis
spellingShingle John B. Loomis
WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys
Journal of Agricultural and Resource Economics
choice experiments
conjoint analysis
contingent valuation
hypothetical bias
meta-analysis
nonmarket valuation
stated preference methods
author_facet John B. Loomis
author_sort John B. Loomis
title WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys
title_short WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys
title_full WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys
title_fullStr WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys
title_full_unstemmed WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys
title_sort waea keynote address: strategies for overcoming hypothetical bias in stated preference surveys
publisher Western Agricultural Economics Association
series Journal of Agricultural and Resource Economics
issn 1068-5502
2327-8285
publishDate 2014-04-01
description In some, but not all, contexts, respondents to stated preference valuation studies state a willingness to pay (WTP) higher than what lab or field experiments indicate is the actual amount they would pay. However, several ex ante survey design strategies and ex post calibration techniques can be used to minimize or eliminate hypothetical bias. This article reviews and presents evidence on the effectiveness of these ex ante and ex post approaches. The ex ante approaches lead to recommendations to modify survey designs to minimize the bias up front. If the analyst desires, ex post calibration of WTP using certainty scales can be used to reduce stated WTP to the point at which it will match actual cash contributions.
topic choice experiments
conjoint analysis
contingent valuation
hypothetical bias
meta-analysis
nonmarket valuation
stated preference methods
url https://ageconsearch.umn.edu/record/168258
work_keys_str_mv AT johnbloomis waeakeynoteaddressstrategiesforovercominghypotheticalbiasinstatedpreferencesurveys
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