Impact Evaluation of Raskin Program using Matching Method: Case of IFLS 5

Endiarjati Dewandaru Sadono


Beras untuk Keluarga Miskin (RASKIN) program has been applied since 1998 and has been renamed as Beras Sejahtera (RASTRA) in early 2017, but their effectiveness is still debatable. This study tries to evaluate the impact of RASKIN program on household income. Using data from 3,745 households in Indonesia Family Life Survey (IFLS) 5 that has been estimated using propensity score matching, this study has identified precisely that RASKIN program has a negative and significant effect on household income. This happens because the benefits that reveived by Rumah Tangga Sasaran (RTS) are very small. The small benefit is affected by the amount of rice received, frequency and price that have been paid to get RASKIN is not in accordance with the guidelines. The result of this study is along with previous studies, where the amount and price of rice that distributed through RASKIN program is not exactly correct. Therefore, there must be a change in program format, not just renaming from RASKIN to RASTRA only.


RASKIN Program, Propensity Score Matching, Treatment

Full Text:



Abebaw, D. et al. (2010). The impact of a food security program on household food consumption in Northwestern Ethiopia: A matching estimator approach, Food Policy, 35, 286-293.

Banerjee, A. et al. (2015). The Power of Transparency: Information, Identification Cards, and Food Subsidy Programs in Indonesia. RWP15-010, February 2015.

CPM. (2016). Calculation and Analysis of Indonesian Macro Poverty in 2015. Jakarta: Badan Pusat Statistik.

Caliendo, M., and S. Kopenig. (2008). Some Practical Guidance for the Implementation of Propensity Score Matching, Journal of Economic Survey, 22(1), 31-72.

Dawe, D. (2008). Can Indonesia Trust the World Rice Market?, Bulletin of Indonesian Economic Studies, 44(1), 115-132.

Dehejia, R. H., and S. Wahba. (2002). Propensity Score-Matching Methods for Nonexperimental Causal Studies, The Review of Economics and Statistics, 84(1), 151-161.

Batam Social Service and Funeral. (2016). 14 Poor Criteria According to BPS Standards. [Internet]. [accessed in 2016 September 12]. Available at

Emalia, Z. (2013). Analysis of the Effectiveness of Raskin Program Implementation in Bandar Lampung City, Applied Quantitative Economic Journal, 6 (1), 46-54.

Gilligan, D. O., and J. Hoddinott. (2007). Is There Persistence in the Impact of Emergency Food Aid? Evidence on Consumption, Food Security, and Assets in Rural Ethiopia, American Journal of Agricultural Economics, 89(2), 225-242.

Heckman J. H. et al. (1998). Characterizing Selecting Bias Using Experimental Data, Econometrica, 66, 1017-109

Jamhari. (2012). Effectiveness of Raskin Distribution in Rural and Urban Indonesia, Journal of Development Economics, 13 (1), 132-145.

McCulloch, N. (2008). Rice Prices and Poverty in Indonesia, Bulletin of Indonesian Economic Studies, 44(1), 45-64.

McCulloch, N., P. Timmer. (2008). Rice Policy in Indonesia: A Special Issue, Bulletin of Indonesian Economic Studies, 44(1), 33-44.

Perum BULOG. (2016),

Rosenbaum, P., and D. B. Rubin. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects, Biometrika, 70(1), 41-55.

Rubin, D. B., and N. Thomas. (1996). Matching Using Estimated Propensity Scores: Relating Theory to Practice, Biometrics, 52(1), 249-264.

Smith, J. A., and P. E. Todd. (2001). Reconcilling Conflicting Evidence on the Performance of Propensity-Score Matching Methods, American Economic Review, 91(2), 112-118.

Smith, J. A., and P. E. Todd. (2005). Does Matching Overcome LaLonde’s Critique of Nonexperimental Estimators?, Journal of Econometrics, 125, 305-353.

Sulistyaningrum, E. (2016). Impact Evaluation of the School Operational Assistance Program (BOS) using the Matching Method, Journal of Indonesian Economy and Business, 31(1), 35-62.

Hastuti et al. (2008). Research Report The Effectiveness of the Raskin Program. Jakarta: The SMERU Research Institute.

Wagstaff, A., and M. Pradhan. (2005). Health Insurance Impacts on Health and Nonmedical Consumption in Developing Country. World Bank Policy Research Working Paper 3563.

Yamauchi, F., and R. Dewina. (2012). Risks and spatial connectivity evidence from price crisis in rural Indonesia, Food Policy, 37, 383-389.



  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.