Correcting for non-response bias in contingent valuation surveys concerning environmental non-market goods: an empirical investigation using an online panel
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Correcting for non-response bias in contingent valuation surveys concerning environmental non-market goods : an empirical investigation using an online panel. / Bonnichsen, Ole; Olsen, Søren Bøye.
I: Journal of Environmental Planning and Management, Bind 59, Nr. 2, 2016, s. 245-262.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Correcting for non-response bias in contingent valuation surveys concerning environmental non-market goods
T2 - an empirical investigation using an online panel
AU - Bonnichsen, Ole
AU - Olsen, Søren Bøye
PY - 2016
Y1 - 2016
N2 - Data collection for economic valuation by using Internet surveys and pre-recruited Internet panels can be associated with severe disadvantages. Problems concerning sample coverage and sample representativeness can be expected. Representation errors may occur since people can choose whether to be part of an Internet panel and subsequently whether they wish to participate in the survey, thereby introducing two elements of potential self-selection. These elements may be correlated with preferences, thus making the respondents a non-random and non-representative sample, ultimately biasing results. This paper analyses a sample used for an Internet contingent valuation method survey eliciting preferences for improvements in water quality of a river. We find that some variables that affect the survey participation decision also affect willingness-to-pay, consequently biasing our welfare estimates. We show how adjusting willingness-to-pay for this bias can be accomplished by using a grouped data model incorporating a correlation parameter to account for selection.
AB - Data collection for economic valuation by using Internet surveys and pre-recruited Internet panels can be associated with severe disadvantages. Problems concerning sample coverage and sample representativeness can be expected. Representation errors may occur since people can choose whether to be part of an Internet panel and subsequently whether they wish to participate in the survey, thereby introducing two elements of potential self-selection. These elements may be correlated with preferences, thus making the respondents a non-random and non-representative sample, ultimately biasing results. This paper analyses a sample used for an Internet contingent valuation method survey eliciting preferences for improvements in water quality of a river. We find that some variables that affect the survey participation decision also affect willingness-to-pay, consequently biasing our welfare estimates. We show how adjusting willingness-to-pay for this bias can be accomplished by using a grouped data model incorporating a correlation parameter to account for selection.
KW - contingent valuation
KW - Internet panel
KW - sampling bias
KW - selection bias
KW - stated preferences
U2 - 10.1080/09640568.2015.1008626
DO - 10.1080/09640568.2015.1008626
M3 - Journal article
AN - SCOPUS:84949624715
VL - 59
SP - 245
EP - 262
JO - Journal of Environmental Planning and Management
JF - Journal of Environmental Planning and Management
SN - 0964-0568
IS - 2
ER -
ID: 154008937