암수범죄 추정 : 미신고율을 활용한 수학적 모형

• 영문명: Estimating dark figure: Mathematical model utilizing crime-unreporting rate
• 발행기관: 한국형사정책학회
• 저자명: 이창훈(Lee, Chang-Hun)
• 간행물 정보: 『형사정책』刑事政策 第26卷 第1號, 109~136쪽, 전체 27쪽
• 주제분류: 법학 > 법학
• 파일형태: PDF
• 발행일자: 2014.04.30

영문 초록

Official crime data unfortunately contains innate problems, such as dark figure. The current study attempts to estimate dark figure using an approach different from traditional methods. This study, first, reviews literature on unreporting crime and finds out factors affecting unreporting crime. Second, this study develops a mathematical model of estimating dark figure using the factors identified based on logistic regression model. To prove validity of estimation from the model, this study collected data from 733 participants selected through multistage cluster sampling (sampling frame: 900) and convenience sampling (sampling frame: 300) in Seoul, Busan, Daejeon, and Kwangju cities. Dark figure index(DFI) from the model was 1.6643, which means that about 1.7 times of official data on larceny was the substancial total larceny cases occurred in 2008. DFI ranged 1.6 ~ 28.7 depending on crime reporting rates. Based on findings, policy implications have been suggested.

목차

Ⅰ. 서론

Ⅱ. 미신고의 원인에 대한 선행연구 분석

Ⅲ. 암수범죄 추정을 위한 수학적 모형

Ⅳ. 연구 방법론

Ⅴ. 연구결과

Ⅵ. 결과토의 및 정책제언

참고문헌

Abstract

키워드

공식범죄통계 암수범죄 미신고 암수지수 범죄규모 official crime statistics dark figure unreported crime crime reporting rate magnitude of crime