The Distribution of Crime Victimisation in the Population
Bibliographic Data
| ID | 11657971 |
|---|---|
| Authors | Tim Hope (Keele University, UK and University of Manchester, UK, corresponding author), Alan Trickett (Keele University, UK and University of Manchester, UK) |
| Year | 2008 |
| Volume | 15 |
| Issue | 1 |
| Pages | 37-58 |
| Publication date | 2008-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Review of Victimology (JOURNAL) |
| Journal identifiers | ISSN: 0269-7580 • E-ISSN: 2047-9433 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/026975800801500103 |
| OpenAlex | W2102186265 |
| Language | EN |
| Citations received | 4 |
| References cited | 18 |
This paper addresses the question of how best to determine the appropriate theoretical model for explaining the frequency distribution typically observed in self-report crime victimisation surveys of general adult household populations. The contemporary, prevailing approach is characterised as a ‘double-hurdle model’ of exposure to victimisation risk mat focuses, separately, upon the transition initially from a non-victim to a victim state (the ‘lifestyle-exposure’ hypothesis), and thence upon the transition to a subsequent, specific level of risk (the ‘repeat victimisation hypothesis’). An alternative model — the ‘immunity hypothesis’ — is proposed with the aim of addressing some of the theoretical and empirical difficulties identified in the current approach. This model takes the form of a compound-Poisson generalisation of the Negative Binomial statistical distribution. Its chief difference from the current approach is its assumption of a general tendency in the population towards ‘immunity from’ rather than ‘exposure to’ crime victimisation risk. An outflow table of data on household property crime victimisation from a longitudinal panel survey is analysed. The results provide support for the hypotheses derived from the immunity model
Distribution (mathematics · Environmental health · Geography · Negative binomial distribution · Poison control · Poisson distribution · Population · Sociology · Statistics · Victimisation · Census and Population Estimation · Crime Patterns and Interventions · Demography · Human Factors and Ergonomics · Mathematics · Medicine · Psychology · Urban, Neighborhood, and Segregation Studies
Once Bitten, Twice Shy? Understanding Repeat and Multiple Victimization in Business Cybercrime
Victimization immunity and lifestyle
Increasing Inequality in Experience of Victimization During the Crime Drop
Is Violent Crime Increasing or Decreasing? a New Methodology to Measure Repeat Attacks Making Visible the Significance of Gender and Domestic Relations
Crime and its social context
Building a safer society
Critical Victimology
Crime, Risk and Insecurity
Community Crime Prevention
Explaining and Preventing Crime
A Victim Is a Victim Is a Victim
Modelling Property Crime Using the British Crime Survey. What Have We Learnt
The Phenomena of Multiple Victimization. The Relationship between Personal and Property Crime Risk
Repeat Personal Victimization. 'Boosts' or 'Flags
The Flux of Victimization
Like Taking Candy
Multiple Victimization in American Cities
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,36 |
| Citation span | 2015 - 2026 (12) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |