A Simple Poverty Scorecard for the Philippines

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managers understand and trust scoring and by allowing non-specialists to generatescores quickly in the field.In sum, the poverty scorecard is a practical, objective way for pro-poor programsin the Philippines to monitor poverty rates, track changes in poverty rates over time,and target services. The same approach can be applied to any country with similar datafrom a national income survey.47
ReferencesAdams, N.M.; and D.J. Hand. (2000) “Improving the Practice of Classifier PerformanceAssessment”, Neural Computation, Vol. 12, pp. 305–311.Baesens, B.; Van Gestel, T.; Viaene, S.; Stepanova, M.; Suykens, J.; and J. Vanthienen.(2003) “Benchmarking State-of-the-Art Classification Algorithms for CreditScoring”, Journal of the Operational Research Society, Vol. 54, pp. 627–635.Bollen, Kenneth A.; Glanville, Jennifer L.; and Guy Stecklov. (2007) “Socio-EconomicStatus, Permanent Income, and Fertility: A Latent-Variable Approach”,Population Studies, Vol. 61, No. 1, pp. 15–34.Caire, Dean. (2004) “Building Credit Scorecards for Small Business Lending inDeveloping Markets”, Bannock Consulting,http://www.microfinance.com/English/Papers/Scoring_SMEs_Hybrid.pdf,accessed February 5, 2009.Coady, David; Grosh, Margaret; and John Hoddinott. (2002) “The Targeting ofTransfers in Developing Countries: Review of Experience and Lessons”,http://info.worldbank.org/etools/docs/library/79646/Dc%202003/courses/dc2003/readings/targeting.pdf, accessed February 5, 2009.Cochran, William G. (1977) Sampling Techniques, Third Edition, New York: Wiley,ISBN 0–471–16250–X.Copestake, James G.; Dawson, Peter.; Fanning, J.-P.; McKay, Andrew; and KatieWright-Revolledo. (2005) “Monitoring the Diversity of the Poverty Outreach andImpact of Microfinance: A Comparison of Methods Using Data from Peru”,Development Policy Review, Vol. 23, No. 6, pp. 703–723.Dawes, Robyn M. (1979) “The Robust Beauty of Improper Linear Models in DecisionMaking”, American Psychologist, Vol. 34, No. 7, pp. 571–582.Elbers, Chris; Lanjouw, Jean Olsen; and Peter Lanjouw. (2003) “Micro-LevelEstimation of Poverty and Inequality”, Econometrica, Vol. 71, No. 1, pp. 355–364,http://siteresources.worldbank.org/DEC/Resources/micestpovineq.pdf,accessed February 5, 2009.Efron, Bradley; and Robert J. Tibshirani. (1993) An Introduction to the Bootstrap, NewYork: Chapman and Hall, ISBN 0–412–04241–2.48
Page 1 and 2:
A Simple Poverty Scorecard for the
Page 3 and 4: comparable across organizations nor
Page 5 and 6: Poverty scoring can also be used fo
Page 7 and 8: points or less for estimates of cha
Page 9 and 10: counted as if it had only one perso
Page 11 and 12: derived from the 2000 FIES by the N
Page 13 and 14: Given this, the USD1.25/day 2005 PP
Page 15 and 16: Reyes builds a scorecard using the
Page 17 and 18: that quickly show how estimated pov
Page 19 and 20: 3.3 Gwatkin et al.Gwatkin et al. (2
Page 21 and 22: includes income, the PCA index cann
Page 23 and 24: One of these one-indicator scorecar
Page 25 and 26: The scorecard in Figure 1 is ready
Page 27 and 28: If not determined by other factors,
Page 29 and 30: 6.1 Calibrating scores with poverty
Page 31 and 32: 6.2 Accuracy of estimates of househ
Page 33 and 34: The 90-percent confidence interval
Page 35 and 36: 7. Estimates of a group’s poverty
Page 37 and 38: To derive a sample-size formula (or
Page 39 and 40: 21.64n = 0. 55 ⋅⎛ ⎞⎜ ⎟
Page 41 and 42: 8. Estimates of changes in group po
Page 43 and 44: 2002 in the Philippines is the diff
Page 45 and 46: from 0.63 to 0.77 (Figure 10), sugg
Page 47 and 48: To illustrate the use of (8), suppo
Page 49 and 50: the four possible targeting outcome
Page 51 and 52: As an alternative to assigning bene
Page 53: at a point in time is always less t
Page 57 and 58: Hentschel, Jesko; Lanjouw, Jean Ols
Page 59 and 60: Onwujekwe, Obinna; Hanson, Kara; an
Page 61 and 62: Stillwell, William G.; Barron, F. H
Page 63 and 64: Figure 1: A simple poverty scorecar
Page 65 and 66: Figure 3: Poverty indicators by unc
Page 67 and 68: Figure 3 (cont.): Poverty indicator
Page 69 and 70: National Poverty Line Tables(and Ta
Page 71 and 72: Figure 5 (National poverty line): D
Page 73 and 74: Figure 7 (National poverty line): B
Page 75 and 76: Figure 9 (National poverty line): D
Page 77 and 78: Figure 11 (All poverty lines): Poss
Page 79 and 80: Figure 13 (National poverty line):
Page 81 and 82: Figure 4 (National food poverty lin
Page 83 and 84: Figure 7 (National food poverty lin
Page 85 and 86: Figure 12 (National food poverty li
Page 87 and 88: USAID “Extreme” Poverty Line Ta
Page 89 and 90: Figure 5 (USAID “Extreme” pover
Page 91 and 92: Figure 9 (USAID “Extreme” pover
Page 93 and 94: Figure 13 (USAID “Extreme” pove
Page 95 and 96: Figure 4 (USD1.25/day 2005 PPP line
Page 99 and 100: Figure 12 (USD1.25/day 2005 PPP lin
Page 101 and 102: USD2.50/Day 2005 PPP Poverty Line T
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Figure 9 (USD2.50/day 2005 PPP line
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Figure 13 (USD2.50/day 2005 PPP lin
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USD5.00/Day 2005 PPP Poverty Line T
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National Poverty Line Tablesfor 200
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Figure 9 (National line): Differenc
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Figure 13 (National line): For a gi
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Figure 7 (Food line): Bootstrapped
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Figure 12 (Food line): Households b
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USAID “Extreme” Poverty Line Ta
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Figure 9 (USAID “extreme” line)
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Figure 13 (USAID “extreme” line
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USD2.50/day 2005 PPP Poverty Line T
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USD5.00/day 2005 PPP Poverty Line T
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Poverty Lines and Poverty Rates,by
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Figure A2: All-urban Philippines an
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Figure A4: Agusan del Norte, povert
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Figure A6: Aklan, poverty lines and
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Figure A8: Antique, poverty lines a
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Figure A10: Bataan, poverty lines a
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Figure A12: Batangas, poverty lines
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Figure A14: Bohol, poverty lines an
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Figure A16: Bulacan, poverty lines
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Figure A18: Camarines Norte, povert
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Figure A20: Camiguin, poverty lines
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Figure A22: Catanduanes, poverty li
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Figure A24: Cebu, poverty lines and
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Figure A26: Davao del Sur, poverty
Page 197 and 198:
Figure A28: Eastern Samar, poverty
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Figure A30: Ilocos Norte, poverty l
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Figure A32: Iloilo, poverty lines a
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Figure A34: Kalinga, poverty lines
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Figure A36: Laguna, poverty lines a
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Figure A38: Lanao del Sur, poverty
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Figure A40: Maguindanao, poverty li
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Figure A42: Marinduque, poverty lin
Page 213 and 214:
Figure A44: Misamis Occidental, pov
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Figure A46: Mountain Province, pove
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Figure A48: Negros Oriental, povert
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Figure A50: Northern Samar, poverty
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Figure A52: Nueva Vizcaya, poverty
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Figure A54: Oriental Mindoro, pover
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Figure A56: Pampanga, poverty lines
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Figure A58: Quezon, poverty lines a
Page 229 and 230:
Figure A60: Rizal, poverty lines an
Page 231 and 232:
Figure A62: Western Samar, poverty
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Figure A64: Sorsogon, poverty lines
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Figure A66: Southern Leyte, poverty
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Figure A68: Sulu, poverty lines and
Page 239 and 240:
Figure A70: Surigao del Sur, povert
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Figure A72: Tawi-tawi, poverty line
Page 243 and 244:
Figure A74: Zamboanga del Norte, po
Page 245 and 246:
Figure A76: 2nd District, poverty l
Page 247 and 248:
Figure A78: 4th District, poverty l
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Figure A80: Biliran, poverty lines
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Figure A82: Saranggani, poverty lin
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Figure A84: Compostela Valley, pove
Page 255 and 256:
Figure A86: Shariff Kabunsuan, pove
Page 257 and 258:
Figure A88: Isabela City, poverty l
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A Simple Poverty Scorecard for the Philippines

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