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

Manuel Frondel, Stephan Sommer and Lukas Tomberg

EconStor Open Access Articles and Book Chapters, 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
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/225244/1/V ... aluation-Methode.pdf (application/pdf)

Related works:
Journal Article: Versorgungssicherheit mit Strom: Empirische Evidenz auf Basis der Inferred-Valuation-Methode (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:espost:225244

DOI: 10.1515/zfwp-2019-2002

Access Statistics for this article

More articles in EconStor Open Access Articles and Book Chapters from ZBW - Leibniz Information Centre for Economics Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().