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All Journal Jurnal Ekonomi dan Studi Pembangunan (JESP)
Riana Rizka
Pusat Pelaporan dan Analisis Transaksi Keuangan
Economics, Econometrics & Finance

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Money Laundering Observation from Outer Space Agung Andiojaya; Riana Rizka; Titi Kanti Lestari; Radenroro Nefriana
Jurnal Ekonomi dan Studi Pembangunan Vol 16, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um002v16i12024p052

Abstract

This paper examines the potential of nighttime light (NTL) data as an alternative data source to predict the number of money laundering events. The study is based on the assumption that money laundering as one of financial crime categories is linked to economic development, and previous research has explored the relationship between NTL and both economic data and crime. Panel regression analysis with random effects was used to investigate the potential of NTL data to estimate money laundering activity, which was measured using Suspicious Transaction Reports (STRs) data as a proxy variable. The results suggest that NTL data can be a promising tool for estimating money laundering activity, providing new insights into the use of alternative data sources in predicting this illegal activity. The findings of this research could also contribute to the development of more effective anti-money laundering strategies by law enforcement and policymakers.
Co-Authors Agung Andiojaya Radenroro Nefriana Titi Kanti Lestari