Statistical approaches to the fat tail problem for dichotomous choice contingent valuation.

The writers examine statistical approaches to dealing with the “fat tail” problem that arises in the dichotomous choice (DC) question format for contingent valuation. A disadvantage of the DC format relative to open-ended and iterative approaches is that the DC format does not estimate respondents'...

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Publicado en:Land Economics Vol. 71; pp. 491 - 500
Autores principales: Ready, Richard C., Hu, Dayuan
Formato: Artículo
Publicado: University of Wisconsin Press November 1995
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: November 1995
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          Ready, Richard C.
          Hu, Dayuan
      su:
        Contingent valuation
        Distribution (Probability theory)
        Estimation theory
        Horse farms
      sug:
        subj:
          Contingent valuation
          Distribution (Probability theory)
          Estimation theory
          Horse farms
      ab: The writers examine statistical approaches to dealing with the “fat tail” problem that arises in the dichotomous choice (DC) question format for contingent valuation. A disadvantage of the DC format relative to open-ended and iterative approaches is that the DC format does not estimate respondents' maximum willingness to pay (WTP). Instead, it only identifies whether the respondent's maximum WTP is larger or smaller than a specified bid amount. The fat tail problem can arise if the estimated distribution of maximum WTP attaches an unrealistically large proportion of the cumulative density function to very high WTP amounts. Truncating the distribution and the K.J. Boyle, M.C. Welsh, and R.C. Bishop (1988) normalization procedure seek to overcome this, but both approaches tend to depress the estimates of WTP. A new approach is the pinched logit model, which generates a “best guess” estimate of mean WTP. However, as this estimate involves extrapolation beyond the range of the data, it does tend to be highly variable.
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    language: English
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