The use of household survey data - The probability of property crime victimization

Gideon Fishman, Simon Hakim, Yochanan Shachmurove

Research output: Contribution to journalArticlepeer-review


This paper applies household survey data to discern a pattern of, and subsequently propose preventative solutions to, suburban property crime. Specifically, 22, 192 households in Greenwich, Connecticut were urged to respond to a questionnaire. The survey included questions that measure the household's proneness to victimization and its level of precautionary activities. The probability of victimization is estimated by applying the SAS/STAT program. The study considers the properties of the Deterrence Hypothesis and the rational behavior of burglars. The Deterrence Hypothesis is associated with the relative effectiveness of criminal justice. The focus is on the deterrence activities initiated by homeowners to reduce the probability of being burglarized. It details the results of a logistic regression analysis applied to individual households. The probability of residential burglary is calculated by accounting for the location, surroundings and attributes of the residences, as well as a variety of security precautionary measures.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalJournal of Economic and Social Measurement
Issue number1
StatePublished - 1998

ASJC Scopus subject areas

  • General Social Sciences


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