A MODEL FOR ASSESSING THE PERFORMANCE OF YOUTH EMPLOYMENT SUPPORT IN MAHALLAS

This article proposes a model for assessing youth employment support delivered through mahallas. It covers administrative reporting, outcome monitoring, and programme impact evaluation. SIAT data are used to compare overall unemployment in selected parts of Samarkand Region in 2020, 2024, and 2025. Regional unemployment fell from 5.4 percent in 2024 to 4.7 percent in 2025. Preliminary 2025 figures show a 2.1 percentage point gap between Samarkand City and Nurobod District. The main monitoring outcome is the share in verified formal employment at the 12-month follow-up among people aged 18–30 who first received a programme offer. Follow-ups at three and six months track service delivery. At each follow-up, the lower and upper bounds for the employment share account for unknown statuses and use a common denominator. A phased rollout across mahallas provides a design for evaluating the effect of the programme offer. The study specifies rules for cohort entry, outcome verification, and reporting. District statistics describe the setting for the pilot. Linked mahalla-level cohort data were unavailable for estimating employment outcomes or programme effects.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24068493
Primary Topic
Education and Labor Relations
Type
article
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article

A MODEL FOR ASSESSING THE PERFORMANCE OF YOUTH EMPLOYMENT SUPPORT IN MAHALLAS

Mukhsinjon Murodullaevich Kholmukhamedov
Zenodo (CERN European Organization for Nuclear Research)
Education and Labor Relations
article

A MODEL FOR ASSESSING THE PERFORMANCE OF YOUTH EMPLOYMENT SUPPORT IN MAHALLAS

Mukhsinjon Murodullaevich Kholmukhamedov
article en

Abstract

This article proposes a model for assessing youth employment support delivered through mahallas. It covers administrative reporting, outcome monitoring, and programme impact evaluation. SIAT data are used to compare overall unemployment in selected parts of Samarkand Region in 2020, 2024, and 2025. Regional unemployment fell from 5.4 percent in 2024 to 4.7 percent in 2025. Preliminary 2025 figures show a 2.1 percentage point gap between Samarkand City and Nurobod District. The main monitoring outcome is the share in verified formal employment at the 12-month follow-up among people aged 18–30 who first received a programme offer. Follow-ups at three and six months track service delivery. At each follow-up, the lower and upper bounds for the employment share account for unknown statuses and use a common denominator. A phased rollout across mahallas provides a design for evaluating the effect of the programme offer. The study specifies rules for cohort entry, outcome verification, and reporting. District statistics describe the setting for the pilot. Linked mahalla-level cohort data were unavailable for estimating employment outcomes or programme effects.

Zenodo (CERN European Organization for Nuclear Research)
Plekhanov Russian University of Economics (RU), Russian Economic University after G.V. Plekhanov (UZ)
Education and Labor Relations
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