A Simple Poverty Scorecard for the Philippines

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Mathiassen, Astrid. (2008) “The Predictive Ability of Poverty Models: EmpiricalEvidence from Uganda”, Discussion Paper No. 560, Statistics Norway, Divisionfor Development Cooperation,http://www.ssb.no/publikasjoner/DP/pdf/dp560.pdf, accessed February 5,2009.Matul, Michal; and Sean Kline. (2003) “Scoring Change: Prizma’s Approach toAssessing Poverty”, MFC Spotlight Note No. 4, Warsaw, Poland: MicrofinanceCentre for Central and Eastern Europe and the New Independent States,http://www.mfc.org.pl/doc/Research/ImpAct/SN/MFC_SN04_eng.pdf,accessed February 5, 2009.McNemar, Quinn. (1947) “Note on the Sampling Error of the Difference betweenCorrelated Proportions or Percentages”, Psychometrika, Vol. 17, pp. 153–157.Microfinance Risk Management, L.L.C. (2008) “Data-Entry Software for a SimplePoverty Scorecard for the Philippines”,http://www.microfinance.com/#Philippines, accessed February 5, 2009.Moffitt, Robert. (1991) “Program Evaluation with Non-experimental Data”, EvaluationReview, Vol. 15, No. 3, pp. 291–314.Montgomery, Mark; Gragnolati, Michele; Burke, Kathleen A.; and Edmundo Paredes.(2000) “Measuring Living Standards with Proxy Variables”, Demography, Vol.37, No. 2, pp. 155–174.Myers, James H.; and Edward W. Forgy. (1963) “The Development of Numerical CreditEvaluation Systems”, Journal of the American Statistical Association, Vol. 58,No. 303, pp. 779–806.Narayan, Ambar; and Nobuo Yoshida. (2005) “Proxy Means Tests for TargetingWelfare Benefits in Sri Lanka”, Report No. SASPR–7, Washington, D.C.: WorldBank,http://siteresources.worldbank.org/EXTSAREGTOPPOVRED/Resources/493440-1102216396155/572861-1102221461685/Proxy+Means+Test+for+Targeting+Welfare+Benefits.pdf,accessed February 5, 2009.National Statistical Coordination Board. (2007) “FAQs on Official Poverty Statistics ofthe Philippines”,http://www.nscb.gov.ph/poverty/2007/NSCB_FAQsOnPovertyStatistics.pdf,accessed February 5, 2009.51
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Page 1 and 2:
A Simple Poverty Scorecard for the
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comparable across organizations nor
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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 and 54: at a point in time is always less t
Page 55 and 56: ReferencesAdams, N.M.; and D.J. Han
Page 57: Hentschel, Jesko; Lanjouw, Jean Ols
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
Page 107 and 108: Figure 13 (USD2.50/day 2005 PPP lin
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Figure 4 (USD3.75/day 2005 PPP line
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Figure 12 (USD3.75/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
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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
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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
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Figure A60: Rizal, poverty lines an
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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
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Figure A70: Surigao del Sur, povert
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Figure A72: Tawi-tawi, poverty line
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Figure A74: Zamboanga del Norte, po
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Figure A76: 2nd District, poverty l
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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
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Figure A86: Shariff Kabunsuan, pove
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Figure A88: Isabela City, poverty l
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A Simple Poverty Scorecard for the Philippines

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