Estimating Criminal Populations from Administrative Registers

This study proposes a methodology for estimating the hidden criminal population working in markets of drug trafficking, prostitution exploitation and smuggling in Italy during the period 2006–2014. These estimates represent the first step of a wide procedure that has the final objective of measuring...

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Main Authors: Antonella Baldassarini, Valentina Chiariello, Tiziana Tuoto
Format: Article
Language:English
Published: Czech Statistical Office 2019-09-01
Series:Statistika: Statistics and Economy Journal
Subjects:
Online Access:https://www.czso.cz/documents/10180/88506454/32019719q3_287_baldassarini_analyses.pdf/a9df3ff7-54ab-4bfc-a1aa-7329555e17a3?version=1.0
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spelling doaj-3c887132877343c69e32587f206ef2c32020-11-25T02:35:50ZengCzech Statistical OfficeStatistika: Statistics and Economy Journal0322-788X1804-87652019-09-01993287300Estimating Criminal Populations from Administrative Registers Antonella Baldassarini0Valentina Chiariello1Tiziana Tuoto 2ISTAT, Rome, ItalyUniversity of Naples, Naples, ItalyISTAT, Rome, ItalyThis study proposes a methodology for estimating the hidden criminal population working in markets of drug trafficking, prostitution exploitation and smuggling in Italy during the period 2006–2014. These estimates represent the first step of a wide procedure that has the final objective of measuring the economic flows of illegal transactions in national accounts. We exploit administrative registers coming from the Ministry of Justice, and consider these registers as lists of potential criminals. Unique codes for denounced criminals are not available, limiting so far its exploitation at micro level. This drawback has been overcome in this work by proposing an adjustment of the Zelterman estimator that accounts for the potential linkage errors caused by the lack of exact unique identifiers in the dataset. We obtain yearly estimates of the population size of criminals including also the unknown population, for the crimes of drug trafficking, prostitution exploitation and smuggling during the period 2006–2014.https://www.czso.cz/documents/10180/88506454/32019719q3_287_baldassarini_analyses.pdf/a9df3ff7-54ab-4bfc-a1aa-7329555e17a3?version=1.0Illegal economypopulation size estimationCapture-recaptureZelterman estimatorlinkage errors
collection DOAJ
language English
format Article
sources DOAJ
author Antonella Baldassarini
Valentina Chiariello
Tiziana Tuoto
spellingShingle Antonella Baldassarini
Valentina Chiariello
Tiziana Tuoto
Estimating Criminal Populations from Administrative Registers
Statistika: Statistics and Economy Journal
Illegal economy
population size estimation
Capture-recapture
Zelterman estimator
linkage errors
author_facet Antonella Baldassarini
Valentina Chiariello
Tiziana Tuoto
author_sort Antonella Baldassarini
title Estimating Criminal Populations from Administrative Registers
title_short Estimating Criminal Populations from Administrative Registers
title_full Estimating Criminal Populations from Administrative Registers
title_fullStr Estimating Criminal Populations from Administrative Registers
title_full_unstemmed Estimating Criminal Populations from Administrative Registers
title_sort estimating criminal populations from administrative registers
publisher Czech Statistical Office
series Statistika: Statistics and Economy Journal
issn 0322-788X
1804-8765
publishDate 2019-09-01
description This study proposes a methodology for estimating the hidden criminal population working in markets of drug trafficking, prostitution exploitation and smuggling in Italy during the period 2006–2014. These estimates represent the first step of a wide procedure that has the final objective of measuring the economic flows of illegal transactions in national accounts. We exploit administrative registers coming from the Ministry of Justice, and consider these registers as lists of potential criminals. Unique codes for denounced criminals are not available, limiting so far its exploitation at micro level. This drawback has been overcome in this work by proposing an adjustment of the Zelterman estimator that accounts for the potential linkage errors caused by the lack of exact unique identifiers in the dataset. We obtain yearly estimates of the population size of criminals including also the unknown population, for the crimes of drug trafficking, prostitution exploitation and smuggling during the period 2006–2014.
topic Illegal economy
population size estimation
Capture-recapture
Zelterman estimator
linkage errors
url https://www.czso.cz/documents/10180/88506454/32019719q3_287_baldassarini_analyses.pdf/a9df3ff7-54ab-4bfc-a1aa-7329555e17a3?version=1.0
work_keys_str_mv AT antonellabaldassarini estimatingcriminalpopulationsfromadministrativeregisters
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