The dynamics of poverty targeting

• Verfasst von: Hillebrecht, Michael [VerfasserIn]
• Verfasst von: Klonner, Stefan [VerfasserIn]
• Verfasst von: Pacere, Noraogo A. [VerfasserIn]
• Titel: The dynamics of poverty targeting
• Verf.angabe: Michael Hillebrecht, Stefan Klonner, Noraogo A. Pacere
• E-Jahr: 2023
• Jahr: March 2023
• Umfang: 9 S.
• Fussnoten: Gesehen am 25.07.2023 ; Published online: 14 December 2022
• Titel Quelle: Enthalten in: Journal of development economics
• Ort Quelle: Amsterdam [u.a.] : Elsevier, 1974
• Jahr Quelle: 2023
• Band/Heft Quelle: 161(2023) vom: März, Artikel-ID 103033, Seite 1-9
• ISSN Quelle: 0304-3878
• DOI: doi:10.1016/j.jdeveco.2022.103033
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Community-based targeting
• Sach-SW: Poverty targeting
• Sach-SW: Proxy-means test
• Sach-SW: Targeting performance
• K10plus-PPN: 1853590819

Abstract

Several recent papers have compared the ability of proxy-means testing (PMT) and community-based targeting (CBT) to identify consumption-poor households. Motivated by the facts that targeted benefits typically reach beneficiaries with a substantial time lag and that transitions into and out of poverty are frequent, we assess PMT’s and CBT’s performance during the years following the targeting exercise. With original data from Burkina Faso, we replicate the finding that PMT outperforms CBT at baseline. But this pattern disappears for households’ poverty status 12 and 30 months later where both methods perform equally well. For real-world welfare programs where benefits typically accrue with a substantial time lag, our results suggest that CBT’s targeting performance is better than commonly thought.