Customer Retention in a Competitive Power Market: Analysis of a 'Double-Bounded Plus Follow-Ups' Questionnaire
AbstractA model is developed and estimated that forecasts the share of an electric utility's customers who would switch to a competitor under various price discounts and service attributes (reliability, renewable power, energy conservation assistance, and customer service.) The method builds upon previous double-bounded dichotomous choice procedures, extended to account for the multi-attribute nature of electric power service.
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Bibliographic InfoArticle provided by International Association for Energy Economics in its journal The Energy Journal.
Volume (Year): Volume19 (1998)
Issue (Month): Number 2 ()
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- F0 - International Economics - - General
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- Asher A. Blass & Saul Lach & Charles F. Manski, 2010.
"Using Elicited Choice Probabilities To Estimate Random Utility Models: Preferences For Electricity Reliability,"
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Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 51(2), pages 421-440, 05.
- Asher A. Blass & Saul Lach & Charles F. Manski, 2008. "Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability," NBER Working Papers 14451, National Bureau of Economic Research, Inc.
- Blass, Asher & Lach, Saul & Manski, Charles, 2008. "Using Elicited Choice Probabilities to Estimate Random Utility Models: Preferences for Electricity Reliability," CEPR Discussion Papers 7030, C.E.P.R. Discussion Papers.
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- Klytchnikova, Irina & Lokshin, Michael, 2007. "Measuring welfare gains from better quality infrastructure," Policy Research Working Paper Series 4217, The World Bank.
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