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Erschienen in: International Journal of Health Economics and Management 2/2023

20.04.2022 | Research article

Adverse health shocks, social insurance and household consumption: evidence from Indonesia’s Askeskin program

verfasst von: Kalyan Kolukuluri

Erschienen in: International Journal of Health Economics and Management | Ausgabe 2/2023

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Abstract

This study examines the efficacy of Askeskin, a subsidized social health insurance targeted towards poor households and informal sector workers in Indonesia, in mitigating the impact of adverse health shocks on household consumption. To overcome selection bias from non-experimental nature of Askeskin enrolment, I use a robust estimation strategy, where outcome regressions are run on a propensity score-based matching sample. Using longitudinal data from the Indonesia Family Life Survey, this study finds that uninsured households facing extreme health health shocks experience a 1.3% point loss in growth in food and 2% point loss in non-food consumption growth. Importantly, households having Askeskin insurance, are fully insured in terms of food and medical consumption. But non-food spending, a discretionary component, is not insured fully resulting in a 1.2% point fall in consumption growth rate, despite Askeskin. This result is robust to a battery of sensitivity and robustness checks, including alternate definition of health shocks. Further, I investigate whether the Askeskin program simply displaced informal, community-based mechanisms of risk sharing. No crowd out effect is observed and informal risk-sharing coexists with Askeskin.
Fußnoten
1
Kabupaten (district)/Kota (city) level.
 
2
Susenas - Survei Sosial Ekonomi Nasional translated as the National socioeconomic survey.
 
3
Close to 90% of households from IFLS 1 were re-interviewed for IFLS 2. For subsequent rounds, on average, 70% of households of the immediate preceding round were re-contacted. New households (formed by split-offs from existing households or new households in the sample) formed 11% (IFLS 2) and 30% (IFLS 3–5) of sample size. This resulted in the doubling of the IFLS 1 sample to a total of 15,919 households by IFLS 5.
 
4
By multiplying weekly values with the factor 4.28 and by dividing annual values with 12.
 
5
\(ADL_{family}=\frac{\sum _{i=1}^{k}(Score)-k\left( Min.Score\right) }{\left( Max.Score-Min.Score\right) }\) and family health shock \(\Delta h_{ft}\) follows from Eq. 1.
 
6
Askeskin was rolled out in 2005, whereas IFLS 3rd round was in 2000 and IFLS 4 was in 2007. Thus IFLS 3 data serves as the baseline, which arguably, cannot be impacted by Askeskin rollout.
 
7
This indicator is not directly observed by someone targeting, but is rather used as it accurately describes the intended beneficiary group.
 
8
Frequency weights for a control observation correspond to number of times it is used as a match; for treated variables, the frequency weight is one.
 
9
Some authors also interpret this as 39% loss to growth rate, see, (Cochrane 1991; Chetty & Looney 2013) \(\beta =log\left( \frac{c_{t+1}}{c_{t}}\right) \times 100 \approx \frac{c_{t+1}-c_{t}}{c_{t}}\times 100\)).
 
10
Non-food spending includes spending on children’ education, entertainment, clothes, gifts and parties, among other things.
 
Literatur
Zurück zum Zitat Austin, P. C. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), 3083–3107.CrossRefPubMedPubMedCentral Austin, P. C. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), 3083–3107.CrossRefPubMedPubMedCentral
Zurück zum Zitat Bound, J. (1991). Self-reported versus objective measures of health in retirement models. The Journal of Human Resources, 26(1), 106–138.CrossRef Bound, J. (1991). Self-reported versus objective measures of health in retirement models. The Journal of Human Resources, 26(1), 106–138.CrossRef
Zurück zum Zitat Chetty, R., & Looney, A. (2013). Income risk and the benefits of social insurance: Evidence from Indonesia and the United States (pp. 99–121). Chicago: University of Chicago Press. Chetty, R., & Looney, A. (2013). Income risk and the benefits of social insurance: Evidence from Indonesia and the United States (pp. 99–121). Chicago: University of Chicago Press.
Zurück zum Zitat Cochrane, J. H. (1991). A simple test of consumption insurance. The Journal of Political Economy, 99(5), 957–976.CrossRef Cochrane, J. H. (1991). A simple test of consumption insurance. The Journal of Political Economy, 99(5), 957–976.CrossRef
Zurück zum Zitat Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766.CrossRef Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52(3), 761–766.CrossRef
Zurück zum Zitat Funk, M. J., Westreich, D., Wiesen, C., Stü, T., Brookhart, M. A., & Davidian, M. (2011). Doubly robust estimation of causal effects. American Journal of Epidemiology, 173(7), 761–767.CrossRefPubMedPubMedCentral Funk, M. J., Westreich, D., Wiesen, C., Stü, T., Brookhart, M. A., & Davidian, M. (2011). Doubly robust estimation of causal effects. American Journal of Epidemiology, 173(7), 761–767.CrossRefPubMedPubMedCentral
Zurück zum Zitat Genoni, M. E. (2012). Health shocks and consumption smoothing: Evidence from Indonesia. Economic Development and Cultural Change, 60(3), 475–506.CrossRef Genoni, M. E. (2012). Health shocks and consumption smoothing: Evidence from Indonesia. Economic Development and Cultural Change, 60(3), 475–506.CrossRef
Zurück zum Zitat Gertler, P., & Gruber, J. (2002). Insuring consumption against illness. The American Economic Review, 92(1), 51–70.CrossRefPubMed Gertler, P., & Gruber, J. (2002). Insuring consumption against illness. The American Economic Review, 92(1), 51–70.CrossRefPubMed
Zurück zum Zitat Gertler, P., Levine, D. I., & Moretti, E. (2009). Do microfinance programs help families insure consumption against illness? Health Economics, 18(3), 257–273.CrossRefPubMed Gertler, P., Levine, D. I., & Moretti, E. (2009). Do microfinance programs help families insure consumption against illness? Health Economics, 18(3), 257–273.CrossRefPubMed
Zurück zum Zitat Harimurti, P., Pambudi, E., Pigazzini, A., & Tandon, A. (2013). The Nuts & Bolts of Jamkesmas Indonesia’s Government-Financed Health Coverage Program. UNICO Studies Series (Vol. 8). Washington: World Open Group. Harimurti, P., Pambudi, E., Pigazzini, A., & Tandon, A. (2013). The Nuts & Bolts of Jamkesmas Indonesia’s Government-Financed Health Coverage Program. UNICO Studies Series (Vol. 8). Washington: World Open Group.
Zurück zum Zitat Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2007). Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis, 15, 199–236.CrossRef Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2007). Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis, 15, 199–236.CrossRef
Zurück zum Zitat Islam, A., & Maitra, P. (2012). Health shocks and consumption smoothing in rural households: Does microcredit have a role to play? Journal of Development Economics, 97(2), 232–243.CrossRef Islam, A., & Maitra, P. (2012). Health shocks and consumption smoothing in rural households: Does microcredit have a role to play? Journal of Development Economics, 97(2), 232–243.CrossRef
Zurück zum Zitat Jappelli, T., & Pistaferri, L. (2010). The consumption response to income changes. Annual Review of Economics, 2(1), 479–506.CrossRef Jappelli, T., & Pistaferri, L. (2010). The consumption response to income changes. Annual Review of Economics, 2(1), 479–506.CrossRef
Zurück zum Zitat Liu, K. (2016). Insuring against health shocks: Health insurance and household choices. Journal of Health Economics, 46(2016), 16–32.CrossRefPubMed Liu, K. (2016). Insuring against health shocks: Health insurance and household choices. Journal of Health Economics, 46(2016), 16–32.CrossRefPubMed
Zurück zum Zitat Lunceford, J. K., & Davidian, M. (2004). Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine, 23, 2937–2960.CrossRefPubMed Lunceford, J. K., & Davidian, M. (2004). Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study. Statistics in Medicine, 23, 2937–2960.CrossRefPubMed
Zurück zum Zitat Mitra, S., Palmer, M., Mont, D., & Groce, N. (2016). Can households cope with health shocks in Vietnam? Health Economics, 25(7), 888–907.CrossRefPubMed Mitra, S., Palmer, M., Mont, D., & Groce, N. (2016). Can households cope with health shocks in Vietnam? Health Economics, 25(7), 888–907.CrossRefPubMed
Zurück zum Zitat Rokx, C., Schieber, G., Harimurti, P., Tandon, A., & Somanathan, A. (2009). A Roadmap for Reform. The World Bank: Health Financing in Indonesia. Washington: World Bank Group.CrossRef Rokx, C., Schieber, G., Harimurti, P., Tandon, A., & Somanathan, A. (2009). A Roadmap for Reform. The World Bank: Health Financing in Indonesia. Washington: World Bank Group.CrossRef
Zurück zum Zitat Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55.CrossRef Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55.CrossRef
Zurück zum Zitat Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and non-randomized studies. Journal of Educational Psychology, 66(5), 688–701.CrossRef Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and non-randomized studies. Journal of Educational Psychology, 66(5), 688–701.CrossRef
Zurück zum Zitat Sim, A., Negara, R., & Suryahadi, A. (2015). Inequality, Elite Capture, and Targeting of Social Protection Programs: Evidence from Indonesia. Jakarta: The SMERU Research Institute. Sim, A., Negara, R., & Suryahadi, A. (2015). Inequality, Elite Capture, and Targeting of Social Protection Programs: Evidence from Indonesia. Jakarta: The SMERU Research Institute.
Zurück zum Zitat Sparrow, R., Suryahadi, A., & Widyanti, W. (2013). Social health insurance for the poor: Targeting and impact of Indonesia’s Askeskin programme. Social Science & Medicine, 96, 264–271.CrossRef Sparrow, R., Suryahadi, A., & Widyanti, W. (2013). Social health insurance for the poor: Targeting and impact of Indonesia’s Askeskin programme. Social Science & Medicine, 96, 264–271.CrossRef
Zurück zum Zitat Sparrow, R., de Poel, E., Hadiwidjaja, G., Yumna, A., Warda, N., & Suryahadi, A. (2014). Coping with the economic consequences of ill health in Indonesia. Health Economics, 23(6), 719–728.CrossRefPubMed Sparrow, R., de Poel, E., Hadiwidjaja, G., Yumna, A., Warda, N., & Suryahadi, A. (2014). Coping with the economic consequences of ill health in Indonesia. Health Economics, 23(6), 719–728.CrossRefPubMed
Zurück zum Zitat Strauss, J., & Thomas, D. (1998). Health, nutrition, and economic development. Journal of Economic Literature, 36(2), 766–817. Strauss, J., & Thomas, D. (1998). Health, nutrition, and economic development. Journal of Economic Literature, 36(2), 766–817.
Zurück zum Zitat Strauss, J., Beegle, K., Sikoki, B., Dwiyanto, A., Herwati, Y., & Witolear, F. (2004). Overview and Field Report: The Third Wave of the Indonesia Family Life Survey (IFLS). Strauss, J., Beegle, K., Sikoki, B., Dwiyanto, A., Herwati, Y., & Witolear, F. (2004). Overview and Field Report: The Third Wave of the Indonesia Family Life Survey (IFLS).
Zurück zum Zitat Sumarto, S., & Bazzi, S. (2011). Social Protection in Indonesia: Past Experiences and Lessons for the Future#) 1 Background on the Evolution of Social Protection Policy since 1997. Jakarta: SMERU Research Institute. Sumarto, S., & Bazzi, S. (2011). Social Protection in Indonesia: Past Experiences and Lessons for the Future#) 1 Background on the Evolution of Social Protection Policy since 1997. Jakarta: SMERU Research Institute.
Zurück zum Zitat Thomas, D., Frankenberg, E., Beegle, K., & Teruel, G. (1999). Household budgets, household composition and the crisis in Indonesia: Evidence from longitudinal household survey data. In: Population Association of America meetings, vol. 25. Thomas, D., Frankenberg, E., Beegle, K., & Teruel, G. (1999). Household budgets, household composition and the crisis in Indonesia: Evidence from longitudinal household survey data. In: Population Association of America meetings, vol. 25.
Zurück zum Zitat Townsend, R. M. (1994). Risk and insurance in village India. Econometrica, 62(3), 539.CrossRef Townsend, R. M. (1994). Risk and insurance in village India. Econometrica, 62(3), 539.CrossRef
Metadaten
Titel
Adverse health shocks, social insurance and household consumption: evidence from Indonesia’s Askeskin program
verfasst von
Kalyan Kolukuluri
Publikationsdatum
20.04.2022
Verlag
Springer US
Erschienen in
International Journal of Health Economics and Management / Ausgabe 2/2023
Print ISSN: 2199-9023
Elektronische ISSN: 2199-9031
DOI
https://doi.org/10.1007/s10754-022-09329-6

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