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on Discrete Choice Models |
| By: | Lindhjem, Henrik; Navrud, Stale |
| Abstract: | Internet is quickly becoming the survey mode of choice for stated preference (SP) surveys in environmental economics. However, this choice is being made with relatively little consideration of its potential influence on survey results. This paper reviews the theory and emerging evidence of mode effects in the survey methodology and SP literatures, summarizes the findings, and points out implications for Internet SP practice and research. The SP studies that compare Internet with other modes do generally not find substantial difference. The majority of welfare estimates are equal; or somewhat lower for the Internet surveys. Further, there is no clear evidence of substantially lower quality or validity of Internet responses. However, the degree of experimental control is often low in comparative studies across survey modes, and they often confound measurement and sample composition effects. Internet offers a huge potential for experimentation and innovation in SP research, but when used to derive reliable welfare estimates for policy assessment, issues like representation and nonresponse bias for different Internet panels should receive more attention. |
| Keywords: | Internet; survey mode; contingent valuation; stated preferences |
| JEL: | H41 Q51 |
| Date: | 2011–08–22 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:35633&r=dcm |
| By: | Hermann Pythagore Pierre Donfouet, CREM, UMR 6211, University of Rennes I, France; Pierre-Alexandre Mahieu, LEMNA, University of Nantes, France; P. Wilner Jeanty, Kinder Institute for Urban Research, Rice University, Houston, Texas, US |
| Abstract: | Contingent valuation method is commonly used in the field of health economics in an attempt to help policy maker in taking decisions. The use of the double-bounded dichotomous choice format results in a substantial gain in statistical efficiency over the single bounded dichotomous choice format. Yet, this efficiency gain comes at the cost of biasness known as internal inconsistency. This paper aims at reducing this internal inconsistency in double-bounded dichotomous choice by using the certainty calibration technique in a community-based health insurance study. Findings confirm the internal inconsistency between the initial and the follow-up responses and the statistical efficiency gains of the double-bounded dichotomous choice over the single-bounded dichotomous choice. Furthermore, the use of certainty calibration reduces this internal inconsistent pattern in responses and still maintains efficiency gain. We further discuss the policy implications. |
| Keywords: | Contingent valuation; internal inconsistency; certainty calibration; community-based health insurance |
| JEL: | C15 D6 I38 |
| Date: | 2011–12 |
| URL: | http://d.repec.org/n?u=RePEc:tut:cremwp:201130&r=dcm |