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A Censored Random Coefficients Model for Pooled Survey Data with Application to the Estimation of Power Outage Costs

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  • David F. Layton

    (University of California)

  • Klaus Moeltner

    (University of Washington)

Abstract

In many surveys multiple observations on the dependent variable are collected from a given respondent. The resulting pooled data set is likely to be censored and to exhibit cross-sectional heterogeneity. We propose a model that addresses both issues by allowing regression coefficients to vary randomly across respondents and by using the Geweke-Hajivassiliou-Keane simulator and Halton sequences to estimate high-order probabilities. We show how this framework can be usefully applied to the estimation of power outage costs to firms using data from a recent survey conducted by a U.S. utility. Our results strongly reject the hypotheses of parameter constancy and cross-sectional homogeneity.

Suggested Citation

  • David F. Layton & Klaus Moeltner, 2000. "A Censored Random Coefficients Model for Pooled Survey Data with Application to the Estimation of Power Outage Costs," Econometric Society World Congress 2000 Contributed Papers 0912, Econometric Society.
  • Handle: RePEc:ecm:wc2000:0912
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    Cited by:

    1. Alastaire Sèna ALINSATO, 2015. "Economic Valuation of Electrical Service Reliability for Households’ in Developing Country: A Censored Random Coefficient Model Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 352-359.
    2. Johannes Reichl & Sylvia Frühwirth-Schnatter, 2012. "A censored random coefficients model for the detection of zero willingness to pay," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 259-281, June.
    3. Marcos Perroni & Luciano Luiz Dalazen & Wesley Vieira da Silva & Sergio Eduardo Gouvêa da Costa & Claudimar Pereira da Veiga, 2015. "Evolution of Risks for Energy Companies from the Energy Efficiency Perspective: The Brazilian Case," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 612-623.
    4. Layton, David F. & Siikamaki, Juha, 2005. "Incentive Payment Programs for Environmental Protection: A Framework for Eliciting and Estimating Landowners' Willingness to Participate," Discussion Papers 10775, Resources for the Future.
    5. Wen-Jhan Jane, 2014. "The Relationship Between Outcome Uncertainties and Match Attendance: New Evidence in the National Basketball Association," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 45(2), pages 177-200, September.
    6. Ozbafli, Aygul & Jenkins, Glenn P., 2015. "The willingness to pay by households for improved reliability of electricity service in North Cyprus," Energy Policy, Elsevier, vol. 87(C), pages 359-369.
    7. Carlsson, Fredrik & Martinsson, Peter & Akay, Alpaslan, 2011. "The effect of power outages and cheap talk on willingness to pay to reduce outages," Energy Economics, Elsevier, vol. 33(5), pages 790-798, September.
    8. Carlsson, Fredrik & Demeke, Eyoual & Martinsson, Peter & Tesemma, Tewodros, 2018. "Cost of Power Outages for Manufacturing Firms in Ethiopia: A Stated Preference Study," Working Papers in Economics 731, University of Gothenburg, Department of Economics.
    9. Naghmeh Niroomand & Glenn P. Jenkins, 2015. "Estimating the Value of Life, Injury, and Travel Time Saved Using a Stated Preference Framework," Development Discussion Papers 2015-08, JDI Executive Programs.
    10. Juha Siikamäki & David F. Layton, 2007. "Potential Cost-Effectiveness of Incentive Payment Programs for the Protection of Non-Industrial Private Forests," Land Economics, University of Wisconsin Press, vol. 83(4), pages 539-560.
    11. Michael Schmidthaler & Jed Cohen & Johannes Reichl & Stefan Schmidinger, 2015. "The effects of network regulation on electricity supply security: a European analysis," Journal of Regulatory Economics, Springer, vol. 48(3), pages 285-316, December.
    12. Woo, C.K. & Ho, T. & Shiu, A. & Cheng, Y.S. & Horowitz, I. & Wang, J., 2014. "Residential outage cost estimation: Hong Kong," Energy Policy, Elsevier, vol. 72(C), pages 204-210.
    13. Aygul Ozbafli & Glenn Jenkins, 2013. "Estimating Willingness To Pay For Reliable Electricity Supply: A Choice Experiment Study," Development Discussion Papers 2013-01, JDI Executive Programs.
    14. Siikamäki, Juha & Layton, David, 2005. "Incentive Payment Programs for Environmental Protection: A Framework for Eliciting and Estimating Landowners' Willingness to Participate," Discussion Papers dp-05-57, Resources For the Future.
    15. Ozbafli, Aygul & Jenkins, Glenn P., 2016. "Estimating the willingness to pay for reliable electricity supply: A choice experiment study," Energy Economics, Elsevier, vol. 56(C), pages 443-452.
    16. Kim, Taeyoung & Langpap, Christian, 2016. "Agricultural landowners’ response to incentives for afforestation," Resource and Energy Economics, Elsevier, vol. 43(C), pages 93-111.
    17. Carlsson, Fredrik & Martinsson, Peter, 2006. "Do Experience and Cheap Talk influence Willingness to Pay in an Open-Ended Contingent Valuation Survey?," Working Papers in Economics 190, University of Gothenburg, Department of Economics.
    18. Reichl, Johannes & Kollmann, Andrea & Tichler, Robert & Schneider, Friedrich, 2008. "The importance of incorporating reliability of supply criteria in a regulatory system of electricity distribution: An empirical analysis for Austria," Energy Policy, Elsevier, vol. 36(10), pages 3862-3871, October.
    19. Mark Lijesen, 2004. "Increasing the reliability of electricity production: a cost-benefit analysis," CPB Document 52, CPB Netherlands Bureau for Economic Policy Analysis.
    20. Stephane Hess & Marek Giergiczny, 2015. "Intra-respondent Heterogeneity in a Stated Choice Survey on Wetland Conservation in Belarus: First Steps Towards Creating a Link with Uncertainty in Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(3), pages 327-347, March.
    21. Xue, Hong & Mainville, Denise Y. & You, Wen & Nayga, Rodolfo M., Jr., 2009. "Nutrition Knowledge, Sensory Characteristics and Consumers’ Willingness to Pay for Pasture-Fed Beef," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49277, Agricultural and Applied Economics Association.

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