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Composite Valuation of Immaterial Damage in Flooding: Value of Statistical Life, Value of Statistical Evacuation and Value of Statistical Injury

Author

Listed:
  • Marija Bockarjova

    (VU University Amsterdam)

  • Piet Rietveld

    (VU University Amsterdam)

  • Erik T. Verhoef

    (VU University Amsterdam)

Abstract

This paper enriches existing valuation literature in a number of ways by presenting context-specific estimates of immaterial damage. First, it offers an estimation of value of statistical life (VOSL) in the context of a natural hazard (flooding). Next, as one of the contributions, alongside with less biased estimate of VOSL (euro 6.8 mln) it also provides estimates of the value of statistical injury (VOSI, euro 92,000), and of the value of statistical evacuation (VOSE, euro 2,400). Our estimated indicators are plausible and stay robust throughout various estimations. For flood protection policy in the Netherlands, a higher value of VOSL forthcoming from this research would imply 'underprotection' under current conditions. Another important finding concerns the composition of the total value of immaterial damages, where value of fatalities or value of evacuation may dominate depending on the prevailing floor risk circumstances. This implies that, first, VOSL is not an adequate proxy for immaterial damages since it understates prospective benefits of designated protective measures. Second, spatially differentiated composition of immaterial damages should be explicitly considered to guide policy decisions.

Suggested Citation

  • Marija Bockarjova & Piet Rietveld & Erik T. Verhoef, 2012. "Composite Valuation of Immaterial Damage in Flooding: Value of Statistical Life, Value of Statistical Evacuation and Value of Statistical Injury," Tinbergen Institute Discussion Papers 12-047/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20120047
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    References listed on IDEAS

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    More about this item

    Keywords

    cost-benefit analysis; natural hazard; flood risk; stated preferences; choice experiment;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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