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Versorgungssicherheit mit Strom: Empirische Evidenz auf Basis der Inferred-Valuation-Methode

Manuel Frondel, Sommer Stephan () and Tomberg Lukas ()
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Sommer Stephan: RWI Leibniz-Institut für Wirtschaftsforschung, Hohenzollernstr. 1–345128 EssenTel.: (0201) 8149-233Essen, Germany
Tomberg Lukas: RWI Leibniz-Institut für Wirtschaftsforschung und Ruhr Graduate School in Economics, Hohenzollernstr. 1–345128 EssenTel.: (0201) 8149-226Essen, Germany

Zeitschrift für Wirtschaftspolitik, 2019, vol. 68, issue 1, 53-73

Abstract: Based on a survey among more than 5,000 German household heads, this article investigates their willingness to pay (WTP) for avoiding power outages using Contingent-Valuation-Methods (CVM). Alternatively, we ask respondents to estimate the WTP of a hypothetical household. This Inferred-Valuation-Method (IVM) is an approach introduced to reduce the hypothetical bias of stated WTP. Our empirical results indicate that, relative to the CVM, the IVM yields inflated WTP values, casting doubt on the validity of the IVM.

Keywords: Contingent Valuation Method; Hypothetical Bias (search for similar items in EconPapers)
JEL-codes: D12 H41 Q41 (search for similar items in EconPapers)
Date: 2019
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