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All Journal JEJAK Journal of Indonesian Economy and Business Jurnal Ekonomi & Studi Pembangunan Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Economics and Finance in Indonesia Jurnal Ekonomi Indonesia Journal of Indonesian Economy and Business PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Ekonomi dan Pembangunan Indonesia Economic and Finance in Indonesia Economic Development Analysis Journal
Eny Sulistyaningrum
Faculty Of Economics And Business Universitas Gadjah Mada
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education

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Harmonization of monetary and multidimensional poverty through a threshold alignment approach Setyawan, Novi Andy Dwi; Sulistyaningrum, Eny; Arsyad, Lincolin
Jurnal Ekonomi & Studi Pembangunan Vol. 27 No. 1: April 2026
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jesp.v27i1.26768

Abstract

Two principal methodologies for poverty measurement are extensively used internationally: the direct approach, encompassing multidimensional indicators, and the indirect approach, based on monetary metrics. However, empirical evidence has demonstrated that the simultaneous application of both methods produces substantial discrepancies in poverty identification results. This discrepancy can be attributed to the lack of a common threshold between the two approaches. The present study addresses this issue by implementing a threshold alignment method using receiver operating characteristic (ROC) analysis. This threshold alignment method also indirectly mitigates the arbitrariness in determining the indicator thresholds commonly associated with the Alkire–Foster (AF) method. Furthermore, this study aims to eliminate arbitrariness in indicator weight determination through multiple correspondence analysis (MCA), thereby reducing potential researcher subjectivity in the calculation process. This study compared four methodologies: AF, ROC, AF-MCA, and ROC-MCA. The findings indicate that the ROC-MCA method yields superior evaluation results compared to alternative methods. Therefore, these findings suggest that the ROC-MCA method more accurately identifies poor households and improves upon the multidimensional poverty measurement approach originally proposed by Alkire and Foster.
Co-Authors Alexander Michael Tjahjadi Andri Harsoyo Catur Sugiyanto Davani, Ifan Elphiwin Adela Elphiwin Adela Fairuzah Pertiwi Kartasasmita Febri Hamdani Hendajany, Nenny Kartasasmita, Fairuzah Pertiwi Lincolin Arsyad Puspita Sari, Cita Santi Rahmawati Santi Rahmawati Septyono Kurniawan Setyawan, Novi Andy Dwi Suci, Ulfa Luthfiana Eka Syaiful Huda Tri Widodo Tri Widodo Victor Rumere Yunindyo Sasmito