Approach to Analysis of Self-Selected Interval Data

Yuri Belyaev () and Bengt Kriström ()
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Yuri Belyaev: Centre of Biostochastics, SLU-Umeå

No 2010:2, CERE Working Papers from CERE - the Center for Environmental and Resource Economics

Abstract: We analyze an approach to quantitative information elicitation in surveys that includes many currently popular variants as special cases. Rather than asking the individual to state a point estimate or select between given brackets, the individual can self-select any interval of choice. We propose a new estimator for such interval censored data. It can be viewed as an extension of Turnbull's estimator (Turnbull(1976)) for interval censored data. A detailed empirical example is provided, using a survey on the valuation of a public good. We estimate survival functions based on a Weibull and a mixed Weibull/exponential distribution and prove that a consistent maximum likelihood estimator exists and that its accuracy can be consistently estimated by re-sampling methods in these two families of distributions.

Keywords: Interval data; Maximum Likelihood; Turnbull estimator; willingness-to-pay; quantitative elicitation (search for similar items in EconPapers)
JEL-codes: C25 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2010-02-15
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (5)

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