Three Deflation Traps in Estimating Poverty-Line Elasticities: Panel Evidence from Indonesia, 2004-2025

Authors

  • Athaillah Farrel Inandra Universitas Pelita Harapan
  • Gildan Erabbaani Putranto Universitas Pelita Harapan

DOI:

https://doi.org/10.61536/escalate.v4i3.620

Keywords:

Poverty Measurement, Weakly Relative Poverty Lines, Elasticity Estimation

Abstract

The elasticity of a poverty line with respect to mean living standards is the parameter that distinguishes an absolute poverty line from a weakly relative one in the sense of Ravallion and Chen (2011). This paper shows that three deflation and measurement choices materially distort estimates of that parameter, quantifies each using Indonesian data, and then estimates the parameter itself on a provincial panel. Trap one is the nominal-on-nominal ratio, which recovers a weighted average of the true elasticity and unity and is biased upward whenever inflation is positive. Trap two is deflating a national-accounts aggregate with a consumer price index, which over 2004-2013 implies Indonesian real growth of 88 percent against a national-accounts figure of 48 percent. Trap three is the denominator concept: GDP per capita includes investment, government spending, and net trade, whereas a Cost of Basic Needs line is a consumption bundle. Estimating equation (3) on 390 province-by-area observations for 2013-2019, with province fixed effects and standard errors clustered by province, gives an elasticity of 0.64 (95 percent CI 0.57 to 0.71) in real terms, against 0.85 on the same data in nominal terms, representing trap one reproduced in panel form. The line is therefore weakly relative in Ravallion and Chen's sense, significantly bounded away from both zero and unity. Two further results follow. First, on disjoint windows built from a single BPS series, the elasticity rises from 0.05 (urban) and 0.51 (rural) over 2004-2010 to 1.02 and 1.25 over 2013-2022: Indonesia's poverty line was close to absolute before 2010 and at or beyond the strongly relative boundary afterwards. Second, adding year fixed effects drives the elasticity to zero and statistical insignificance, indicating that the mechanism operates through national annual re-basing rather than through province-specific responsiveness, a localization of the mechanism that the existing literature has not reported

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References

Asra, A. (1989). Inequality trends in Indonesia, 1969-1981: A re-examination. Bulletin of Indonesian Economic Studies, 25(2), 100-110.

Asra, A. (2000). Poverty and inequality in Indonesia: Estimates, decomposition and key issues. Journal of the Asia Pacific Economy, 5(1-2), 91-111.

Atkinson, A. B., Hasell, J., Morelli, S., & Roser, M. (2017). The Chartbook of Economic Inequality. INET Oxford, University of Oxford. https://www.chartbookofeconomicinequality.com/

Booth, A. (1992). Income distribution and poverty. In A. Booth (Ed.), The oil boom and after: Indonesian economic policy and performance in the Soeharto era (pp. 323-362). Oxford University Press.

Booth, A. (2000). Poverty and inequality in the Soeharto era: An assessment. Bulletin of Indonesian Economic Studies, 36(1), 73-104.

Booth, A. (2016). Economic change in modern Indonesia: Colonial and post-colonial comparisons. Cambridge University Press.

Booth, A. (2019). Measuring poverty and income distribution in Southeast Asia. Asian-Pacific Economic Literature, 33(1), 3-20.

BPS-Statistics Indonesia. (2025, May 1). Understanding the differences in poverty rates reported by the World Bank and Statistics Indonesia (BPS). https://www.bps.go.id/en/news/2025/05/02/702/understanding-the-differences-in-poverty-rates-reported-by-the-world-bank-and-statistics-indonesia--bps-.html

BPS-Statistics Indonesia. (2026a). Distribusi pembagian pengeluaran per kapita dan Indeks Gini, 2010-2025 [Data set]. https://www.bps.go.id/en/statistics-table/1/OTQ2IzE=/distribusi-pembagian-pengeluaran-per-kapita-dan-indeks-gini--2010-2017.html

BPS-Statistics Indonesia. (2026b). Garis kemiskinan (rupiah/kapita/bulan) menurut daerah, 2004-2025 [Data set]. https://www.bps.go.id/id/statistics-table/2/MTgyIzI=/

BPS-Statistics Indonesia. (2026c). Garis kemiskinan (rupiah/kapita/bulan) menurut provinsi dan daerah, 2013-2025 [Data set]. https://www.bps.go.id/id/statistics-table/2/MTk1IzI=/

BPS-Statistics Indonesia. (2026d). Rata-rata pengeluaran per kapita sebulan untuk makanan dan bukan makanan di daerah perkotaan dan perdesaan menurut provinsi (rupiah), 2011-2025 [Data set]. https://www.bps.go.id/

CNBC Indonesia. (2024, February 5). PDB per kapita RI: Era Jokowi naik 78%, SBY lompat 264%. https://www.cnbcindonesia.com/research/20240205120705-128-511919/pdb-per-kapita-ri-era-jokowi-naik-78-sby-lompat-264

Hill, H. (2021). What's happened to poverty and inequality in Indonesia over half a century? Asian Development Review, 38(1), 68-97. https://doi.org/10.1162/adev_a_00158

Jerven, M. (2013). Poor numbers: How we are misled by African development statistics and what to do about it. Cornell University Press.

Johar, M., Soewondo, P., Pujisubekti, R., Satrio, H. K., Adji, A., & Wibisono, I. D. (2019). “Tahukah kamu?”: Analisis set data Survei Sosial Ekonomi Nasional (Susenas). Jurnal Ekonomi dan Pembangunan Indonesia, 19(2), 191-208. https://doi.org/10.21002/jepi.2019.12

Manning, C. (1998). Indonesian labour in transition: An East Asian success story? Cambridge University Press.

Manning, C. (2014). Labour market regulation and employment during the Yudhoyono years in Indonesia. In P. Athukorala, A. A. Patunru, & B. P. Resosudarmo (Eds.), Trade, development and political economy in East Asia (pp. 153-172). Institute of Southeast Asian Studies.

Priebe, J. (2014). Official poverty measurement in Indonesia since 1984: A methodological review. Bulletin of Indonesian Economic Studies, 50(2), 185-205.

Rao, V. V. B. (1988). Income distribution in East Asian developing countries. Asian-Pacific Economic Literature, 2(1), 26-45.

Ravallion, M. (1994). Poverty comparisons. Harwood Academic Press.

Ravallion, M. (1998). Poverty lines in theory and practice (Living Standards Measurement Study Paper No. 133). World Bank.

Ravallion, M. (2016). The economics of poverty: History, measurement, and policy. Oxford University Press.

Ravallion, M., & Chen, S. (2011). Weakly relative poverty. Review of Economics and Statistics, 93(4), 1251-1261. https://doi.org/10.1162/REST_a_00127

Robison, R. (1986). Indonesia: The rise of capital. Allen & Unwin.

Sundrum, R. M. (1979). Income distribution, 1970-76. Bulletin of Indonesian Economic Studies, 15(1), 137-141.

Surbakti, P. (1995). Indonesia's national socio-economic survey: A continual data source for analysis on welfare development. Central Bureau of Statistics.

Suryahadi, A., Sumarto, S., & Pritchett, L. (2000). The evolution of poverty during the crisis in Indonesia, 1996 to 1999 (SMERU Working Paper). SMERU Research Institute.

Suryahadi, A., Sumarto, S., & Pritchett, L. (2003). Quantifying vulnerability to poverty: A proposed measure, applied to Indonesia. SMERU Research Institute.

Tempo. (2025a, August 7). The Prakarsa: Metode penghitungan garis kemiskinan BPS perlu direvisi. https://www.tempo.co/ekonomi/the-prakarsa-metode-penghitungan-garis-kemiskinan-bps-perlu-direvisi-2056248

Tempo. (2025b, June 15). Kok bisa metode penghitungan kemiskinan BPS dan Bank Dunia beda? https://www.tempo.co/ekonomi/kok-bisa-metode-penghitungan-kemiskinan-bps-dan-bank-dunia-beda-1705446

Tempo. (2025c, July 25). BPS mengkaji revisi standar kemiskinan. Kapan rampung? https://www.tempo.co/ekonomi/bps-mengkaji-revisi-standar-kemiskinan-kapan-rampung--2050907

The Prakarsa. (2025, August 7). BPS diminta ubah metodologi perhitungan garis kemiskinan. https://theprakarsa.org/bps-diminta-ubah-metodologi-perhitungan-garis-kemiskinan/

World Bank. (2024, March 16). Stagnation or impressive poverty reduction in Indonesia? A choice between weakly relative and absolute poverty lines. World Bank Blogs. https://blogs.worldbank.org/en/eastasiapacific/stagnation-or-impressive-poverty-reduction-indonesia-choice-between-weakly-relative

World Bank. (2025, June 13). The World Bank's updated global poverty lines: Indonesia. https://www.worldbank.org/en/news/factsheet/2025/06/13/updated-global-poverty-lines-indonesia

World Bank. World Development Indicators [Data sets]: FP.CPI.TOTL (consumer price index, 2010 = 100); NY.GDP.PCAP.KD (GDP per capita, constant 2015 US$); NE.CON.PRVT.PC.KD (households and NPISHs final consumption expenditure per capita, constant 2015 US$); SP.URB.TOTL.IN.ZS (urban population, % of total). Indonesia. Retrieved from the World Bank API, July 2026; series vintage 13 July 2026. https://api.worldbank.org/v2/country/IDN

World Bank. World Development Indicators, series SI.POV.GINI: GINI index for Indonesia [Data set]. Accessed via FRED, Federal Reserve Bank of St. Louis, April 2026. https://fred.stlouisfed.org/series/SIPOVGINIIDN

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Published

2026-09-15

How to Cite

Athaillah Farrel Inandra, & Gildan Erabbaani Putranto. (2026). Three Deflation Traps in Estimating Poverty-Line Elasticities: Panel Evidence from Indonesia, 2004-2025. Escalate : Economics and Business Journal, 4(3), 630–644. https://doi.org/10.61536/escalate.v4i3.620