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Are Internet surveys an alternative to face-to-face interviews in contingent valuation?

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Listed author(s):
  • Lindhjem, Henrik
  • Navrud, Ståle

Abstract

Internet is an increasingly popular data collection mode for stated preference research in environmental economics. However, little is known about how this survey mode may influence data quality and welfare estimates. As part of a national contingent valuation (CV) survey estimating willingness to pay (WTP) for biodiversity protection plans, we assign two groups of respondents either to an Internet or face-to-face (in-home) interview mode. Our design aims to better isolate measurement effects from sample composition effects by drawing both samples from the same sample frame. We find little evidence of social desirability bias in the interview setting or satisficing (shortcutting the response process) in the Internet survey. The share of "don't knows", zeros and protest responses to the WTP question with a payment card is very similar between modes and equality of mean WTP cannot be rejected. Results are fairly encouraging for the use of Internet in CV as stated preferences do not seem to be significantly different or biased compared to face-to-face interviews.

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File URL: http://www.sciencedirect.com/science/article/pii/S0921800911001340
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Article provided by Elsevier in its journal Ecological Economics.

Volume (Year): 70 (2011)
Issue (Month): 9 (July)
Pages: 1628-1637

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Handle: RePEc:eee:ecolec:v:70:y:2011:i:9:p:1628-1637
Contact details of provider: Web page: http://www.elsevier.com/locate/ecolecon

Keywords: Internet Contingent valuation Interviews Survey mode Biodiversity;

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  1. Lindhjem, Henrik & Navrud, Ståle, 2011. "Using Internet in Stated Preference Surveys: A Review and Comparison of Survey Modes," International Review of Environmental and Resource Economics, now publishers, vol. 5(4), pages 309-351, September.
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  3. Lindhjem, Henrik, 2007. "20 years of stated preference valuation of non-timber benefits from Fennoscandian forests: A meta-analysis," Journal of Forest Economics, Elsevier, vol. 12(4), pages 251-277, February.
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