Approach to Analysis of Self-Selected Interval Data
AbstractWe 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.
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Bibliographic InfoPaper provided by CERE - the Center for Environmental and Resource Economics in its series CERE Working Papers with number 2010:2.
Length: 36 pages
Date of creation: 15 Feb 2010
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Web page: http://www.cere.se
Interval data; Maximum Likelihood; Turnbull estimator; willingness-to-pay; quantitative elicitation;
Find related papers by JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
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- van Exel, N.J.A. & Brouwer, W.B.F. & van den Berg, B. & Koopmanschap, M.A., 2006. "With a little help from an anchor: Discussion and evidence of anchoring effects in contingent valuation," The Journal of Socio-Economics, Elsevier, vol. 35(5), pages 836-853, October.
- Belyaev, Yuri & Kriström, Bengt, 2012. "Two-step approach to Self-Selected Interval Data in Elicitation Surveys," CERE Working Papers 2012:10, CERE - the Center for Environmental and Resource Economics.
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