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The value of reducing fear: an analysis using the European Social Survey

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  • Simon Christopher Moore

Abstract

This paper calculates the shadow price of fear of crime using the European Social Survey. A multiple regression model is specified with happiness as the outcome variable and fear of crime, total household income and control variables as independent variables. Both income and fear of crime are significantly associated with happiness and the total household income required to compensate an average household for an increase in fear of crime is estimated.

Suggested Citation

  • Simon Christopher Moore, 2006. "The value of reducing fear: an analysis using the European Social Survey," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 115-117.
    • Handle: RePEc:taf:applec:v:38:y:2006:i:1:p:115-117
    DOI: 10.1080/00036840500368094
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    References listed on IDEAS

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    1. Lelkes, Orsolya, 2006. "Knowing what is good for you: Empirical analysis of personal preferences and the "objective good"," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 35(2), pages 285-307, April.
    2. Bernard M. S. van Praag & Barbara E. Baarsma, 2005. "Using Happiness Surveys to Value Intangibles: The Case of Airport Noise," Economic Journal, Royal Economic Society, vol. 115(500), pages 224-246, January.
    3. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
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