Developing a Poverty
Map for Indonesia:
An Initiatory Work in Three Provinces
Part I: Technical Report
Part II: Tables of Poverty and
Inequality Estimates
Part III: Field Verification
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Part I: Technical Report
Asep Suryahadi, Wenefrida Widyanti,
Daniel Perwira, Sudarno Sumarto (SMERU)
Chris Elbers (Vrije University, Amsterdam)
Menno Pradhan (World Bank)
Abstract
This report presents the results of a pilot
study to apply a recently developed technique for obtaining high-resolution
poverty maps, using data from three provinces in Indonesia: Jakarta, East
Java, and East Kalimantan. The purpose of this
pilot study is to try out the applicability of the poverty mapping method
given the available data in Indonesia and, furthermore, to test the
feasibility of developing a poverty map for the whole country at various
administrative levels (province, district, subdistrict, and village). The
report is consisted of two parts. Part I is a technical report describing
the steps that have been implemented in the exercise and discussions on the
results. Part II presents the results of the exercise in the forms of tables
of poverty and inequality point estimates and standard errors at the
provincial, district, subdistrict, and village levels for the three
provinces. The results indicate that the currently available data in
Indonesia are sufficient to develop a poverty map with reasonable standard
errors, at least for the provincial, district, and subdistrict
levels. Meanwhile, the results for village level need to be used with
caution as the standard errors of the estimates for a large fraction of the
villages are relatively large. Overall, the results appear to support the
extension of the methods application to the rest of the country.
Table of Contents
I. Introduction
II. The Method
A. The Consumption Model
B. The Estimators
III. Data Sources
IV. Model Application
A. Stage 1: Matching Variables in the
Survey and the Census
B. Stage 2: Selecting Explanatory Variables for the Consumption Model
C. Stage 3: Estimating the Consumption Model
D. Stage 4: Simulations on Census Data
E. Stage 5: Calculation of Poverty and Inequality Indicators
V. Poverty and Inequality Maps
A. Poverty Estimates and Their Standard
Errors
B. District, Subdistrict, and Village Poverty Maps
C. Examples for Further Applications
D. Conformity with Other Measures
VI. Concluding Remarks
Appendix
References
Part II: Tables of Poverty and
Inequality Estimates
Asep Suryahadi, Wenefrida Widyanti,
Daniel Perwira, Sudarno Sumarto (SMERU)
Chris Elbers (Vrije University, Amsterdam)
Menno Pradhan (World Bank)
Table of Contents
Poverty Map of Jakarta (Province
Village Levels) Monthly PCE
Poverty Map of Jakarta (Province Village Levels) Poverty Headcount
Poverty Map of Jakarta (Province Village Levels) Poverty Gap
Poverty Map of Jakarta (Province Village Levels) Poverty Severity
Poverty Map of Jakarta (Province Village Levels) Gini Ratio
Poverty Map of East Java (Province
Subdistrict Levels) Monthly PCE
Poverty Map of East Java (Province Subdistrict Levels) Poverty
Headcount
Poverty Map of East Java (Province Subdistrict Levels) Poverty Gap
Poverty Map of East Java (Province Subdistrict Levels) Poverty
Severity
Poverty Map of East Java (Province Subdistrict Levels) Gini Ratio
Poverty Map of East Java Village Level
Poverty Map of East Kalimantan (Province
Subdistrict Levels) Monthly PCE
Poverty Map of East Kalimantan (Province Subdistrict Levels) Poverty
Headcount
Poverty Map of East Kalimantan (Province Subdistrict Levels) Poverty
Gap
Poverty Map of East Kalimantan (Province Subdistrict Levels) Poverty
Severity
Poverty Map of East Kalimantan (Province Subdistrict Levels) Gini
Ratio
Poverty Map of East Kalimantan Village Level
Part III: Field
Verification
Research Coordinator: Asep Suryahadi
Team Leader: Agus Priyambada
Field Research Team:
Syaikhu Usman, Sri Kusumastuti Rahayu, Sri Budiyati, Nina Toyamah, Hastuti,
Akhmadi, Wawan Munawar, Alexander Arifiyanto, Vita Febriany, Dedi Waluyadi,
Uzair Suhaimi, Abdul Kahar, Siti Muchlisoh
Abstract
This report presents the field verification
results for poverty maps of Jakarta, East Java, and East Kalimantan. The
results show that the poverty maps created in this pilot study have been
successful in ranking regions according to their poverty conditions,
particularly at the district and subdistrict levels. At the village level,
however, the presence of relatively large standard errors of the poverty
rate point estimates in a significant number of villages makes it more
difficult to determine with certainty the ordering of villages by poverty
incidence. This implies that every poverty mapping exercise should attempt
to attain the lowest possible magnitudes of standard errors. However, there
is a practical limit to the effort to reduce the standard errors. Therefore,
one may want to use the poverty mapping results only up to the level where
the standard errors are reasonably acceptable. For this particular study, it
seems that one can use the poverty mapping results down to the subdistrict
level with reasonable confidence.
Table of Contents
I. Introduction
II. Verification Method
III. Field Verification for Jakarta
A. Sample Areas
B. Verification Results
a. District Level
b. Subdistrict Level
c. Village Level
Kembangan Subdistrict
Tambora Subdistrict
IV. Field Verification for East Java
A. Sample Areas
B. Verification Results
a. District Level
b. Subdistrict Level
Gresik District
Tulungagung District
Magetan District
c. Village Level
Bungah Subdistrict in Gresik
Panceng Subdistrict in Gresik
Ngantru Subdistrict in Tulungagung
Kauman Subdistrict in Tulungagung
Maospati Subdistrict in Magetan
Panekan Subdistrict in Magetan
V. Field Verification for East Kalimantan
A. Sample Areas
B. Verification Results
a. District Level
b. Subdistrict Level
East Kutai District
West Kutai District
c. Village Level
Sengatta Subdistrict in East Kutai
Sangkulirang Subdistrict in East Kutai
Long Iram Subdistrict in West Kutai
Muara Pahu Subdistrict in West Kutai
VI. Conclusion
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