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AMERMS Workshop 13: Cutting Edge in SPM (PPT by Abebual Demilew)

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FULL TITLE:
What is the Cutting Edge in Managing and Measuring Social Performance?
ROOM: Tsavo A
Translated session: English & French
PANEL:
Chair: Mr. Christian Loupeda, Director Imp-Act Consortium, Freedom from Hunger (FFH), USA
Panelist: Mr. Abebual Zerihun Demilew, Research Manager, BRAC, Uganda
Panelist: Ms. Refilwe Mokoena, Research & Development Manager, Small Enterprise Foundation
(SEF), South Africa
Panelist: Ms. Ging Ledesma, Manager of Social Performance, Oikocredit, The Netherlands

Published in: Technology, Economy & Finance
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AMERMS Workshop 13: Cutting Edge in SPM (PPT by Abebual Demilew)

  1. 1. Implementation of Poverty Scorecard Experience from BRAC Uganda Abebual Zerihun April 08, 2010 www.brac.net
  2. 2. The Poor and Microfinance % of people below poverty line Region Total Who can borrow from MFI Uganda (2005) 31 17 Central 16 9 Eastern 36 24 Western 21 11 Northern 61 35 www.brac.net
  3. 3. Poverty Scorecard • Reliable and practical monitoring and targeting tool • Can monitor movements in and out of a poverty line • Can be used to improve products and services www.brac.net
  4. 4. Construction of PSC for Uganda • Developed by BRAC Africa research unit • 10 simple multidimensional indicators [demographic, asset, and housing] screened from UNHS-2005 • Sum of scores to each indicator yields the poverty score for the household • Provides poverty likelihoods in different score range • Public knowledge goods www.brac.net
  5. 5. Poverty likelihood conversion chart Score range Poverty likelihood for people with score in range (%) 0-4 95.2 5-9 97.2 10-14 93.6 This client’s 15-19 80.6 household has a 20-24 76.1 score of 21 25-29 71.2 76.1% likelihood of 30-34 62.5 falling below 35-39 47.7 poverty line-$1/day. 40-44 44.0 45-49 38.7 50-54 27.0 55-59 26.2 60-64 13.3 65-69 8.1 70-74 6.5 75-79 2.7 80-84 3.1 85-89 1.3 90-94 0.7 95-100 0.0 Total n = 5,112 www.brac.net
  6. 6. Poverty scorecard for Uganda www.brac.net
  7. 7. Implementation • Integrated with MIS and loan appraisal system • Full coverage across all the 89 branches including all the borrowers, regardless of their loan cycle • Orientation during monthly managers meetings • For new staff, training mainstreamed through the microfinance management trainings. • Credit officers collect data for poverty scorecards www.brac.net
  8. 8. Implementation • Branch level MF data entrant • Periodic analysis of client poverty status • Sept 2010 longitudinal survey www.brac.net
  9. 9. Contextualizing Score Naigaga Annette Semujju Luiga Sells used clothes and BRAC CHP Sells cooked food and condiments First Loan: Ush 300,000 First Loan: Ush 300,000 Second Loan: Ush 600,000 Second Loan: Ush 500,000 Poverty Score: 65 Majeri Odu Poverty Score: 57 Handicrafts & Poultry First Loan: Ush 200,000 Poverty Score: 39 www.brac.net
  10. 10. Quality Control • Periodic checks by monitoring unit • Data capture for 20 sample branches – Credit Officers tend to ‘overscore’, i.e. identify households to be more better of than they actually are. Sample Question Total reported Total monitoring % discrepancy score score Wall material 4547 4641 -2.02 Number of children 2855 2713 5.23 Household head’s education 1704 1700 ~0 Over all average (June 09-Oct09) 2.4 Over all average (Nov09-Feb10) ~0 www.brac.net
  11. 11. Key success factors • Senior level management commitment • Good and reliable system • Triangulation to control quality • Piloting www.brac.net
  12. 12. Lessons • Monitor or target, but not both • Quality, quality and quality • Get management buy-in • Keep it real. Understand limitations. Manage expectations www.brac.net
  13. 13. Thank You www.brac.net

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