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Willingness to Pay among Swedish Households to Avoid Power Outages: A Random Parameter Tobit Model Approach

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  • Fredrik Carlsson
  • Peter Martinsson

Abstract

Using a contingent valuation survey, we elicit Swedish householdsÕ willingness to pay (WTP) to avoid power outages. In the study respondents are asked to state their WTP for avoiding nine different types of outages. We therefore apply a random parameter Tobit model since there is cross-sectional heterogeneity and a proportion of zero responses. Based on the estimations, we find that the WTP depends positively on the duration of the outages, and that WTP is significantly higher for unplanned outages. The overall variation in the WTP due to observed heterogeneity in housing and socio-economic variables is small compared to the pure effects of power outages. Policy implications of those findings are discussed.

Suggested Citation

  • Fredrik Carlsson & Peter Martinsson, 2007. "Willingness to Pay among Swedish Households to Avoid Power Outages: A Random Parameter Tobit Model Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-90.
  • Handle: RePEc:aen:journl:2007v28-01-a04
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    1. Fredrik Carlsson & Olof Johansson-Stenman, 2000. "Willingness to pay for improved air quality in Sweden," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 661-669.
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    4. Bengt Kriström, 1993. "Comparing continuous and discrete contingent valuation questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 3(1), pages 63-71, February.
    5. Fredrik Carlsson & Olof Johansson-Stenman & Peter Martinsson, 2004. "Is Transport Safety More Valuable in the Air?," Journal of Risk and Uncertainty, Springer, vol. 28(2), pages 147-163, March.
    6. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
    7. Beenstock, Michael & Goldin, Ephraim & Haitovsky, Yoel, 1998. "Response bias in a conjoint analysis of power outages," Energy Economics, Elsevier, vol. 20(2), pages 135-156, April.
    8. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
    9. Thomas C. Brown & Patricia A. Champ & Richard C. Bishop & Daniel W. McCollum, 1996. "Which Response Format Reveals the Truth about Donations to a Public Good?," Land Economics, University of Wisconsin Press, vol. 72(2), pages 152-166.
    10. Michael J. Doane & Raymond S. Hartman & Chi-Keung Woo, 1988. "Households' Perceived Value of Service Reliability: An Analysis of Contingent Valuation Data," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 135-150.
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    JEL classification:

    • F0 - International Economics - - General

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