A Statistical Model for Decisions on Arrest Warrants

구속영장발부 여부에 관한 통계모형

  • Received : 20101000
  • Accepted : 20101000
  • Published : 2010.12.31


When most examining judges deny the request for an arrest warrant, they cite (as a reason) that there is no worry about escape or the destruction of evidence. Consequently, there has been no knowing what characteristics of a crime mainly affect the decision for an arrest warrant and there has been significant dispute about the exact decision criteria used for an arrest warrant. This paper classified the data about the request of arrest warrants for crimes committed in the jurisdiction of the Jinju Public Prosecutors' Office in 2006, 2007 and 2008, into 7 categories according to characteristics of the crimes. For each category we construct a statistical model about the decision on arrest warrants by applying a crosstabulation analysis in order to look for the characteristic of crime that affect the decision for an arrest warrant.


Arrest;arrest warrant;probation;repeat offenses;crosstabulation analysis


  1. 강현철, 한상태, 최종후, 이성건, 김은석, 엄익현, 김미경 (2007). <고객관리를 위한 데이터마이닝 방법론(Enterprise Miner 활용사례를 중심으로)>, 자유아카데미.
  2. 류장만 (2003). 구속영장청구기각결정이 항고대상이 되는지에 대하여, <형사재판의 제문제 제4권>.
  3. 서의훈 (2009). , 자유아카데미.
  4. 오세인 (2001). 영장청구기각결정에 대한 불복방법, <형사판례연구 제9권>.
  5. 유해용 (2005). 인신구속제도의 운영방식 개선을 위한 제안, <저스티스 통권>, 83, 103–139.