The Consumption-Health Nexus Revisited: Examining the Benefits of Social Insurance for the Poor in Indonesia

Inggrid Inggrid & Pei Fun Liem

Journal of Economic Cooperation and Development2017article
AJG 1
Weight
0.34

What the paper says

Households in developing countries are typically more vulnerable to illness episodes. This paper uses a panel micro data set from Indonesia to investigate whether households are able to smooth their consumption against idiosyncratic health shocks and to examine the mitigating effects of a social health insurance programme for the poor on such shocks. We find that Indonesian households manage to keep consumption smooth after deterioration in adult health. These findings are robust to various health measures and different specifications. The difference-in-differences (DiD) estimator shows a marginal effect of the insurance programme on insuring household consumption from major health problems. Further investigation reveals heterogeneous effects of the social insurance programme. While it plays a trivial role in protecting rural households, the effect of the health intervention is stronger in urban areas of the country. We argue that supply-side factors seem to be partly responsible for this finding.

1 citation

Cite this paper

@article{inggrid2017,
  title        = {{The Consumption-Health Nexus Revisited: Examining the Benefits of Social Insurance for the Poor in Indonesia}},
  author       = {Inggrid Inggrid & Pei Fun Liem},
  journal      = {Journal of Economic Cooperation and Development},
  year         = {2017},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The Consumption-Health Nexus Revisited: Examining the Benefits of Social Insurance for the Poor in Indonesia

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.34

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.