The Effects of The Cash Transfer Programme for Poor Students on Child’s Work Participation: Evidence from Java (Indonesia)

Authors

  • Achsanah Hidayatina The Center for Political Studies, Indonesian Institute of Sciences

Keywords:

cash transfer, bivariate probit, IFLS, child work

Abstract

Cash transfer is considered as a relatively safe policy instrument to improve child welfare. Over the past ten years, Indonesia has made major progress in reducing the number of children involved in child work. It has done so primarily by expanding education provision to increase the time children spend in school and reduce the time children allocate to work. This progress has been supported by the implementation of poverty alleviation programmes that provided income assistance to vulnerable families. This paper aims to analyse whether cash transfer subsidies provided by the Government of Indonesia were sufficient for children to decrease the probability of working and reduce the hours of working activities of children within households. This paper includes a detailed exploration of differences in impacts by children’s gender and areas of residence. This pa per uses cross sectional data to analyse the effects of the programme on child’s work. The data covers children aged from six to 14 from the Indonesian Family Life Survey (IFLS) in 2014. The data is non-experimental and programme participation is not randomly assigned. The bivariate probit with endogenous dummy models are also estimated for the probability that a child is working, controlling for additional characteristics of the child, head of household, household and community-level characteristics. The results of this paper are particularly relevant for understanding the role of cash transfer programmes in developing countries. The findings of this paper suggest that the Government of Indonesia needs to reach the poorest children who are out of school.

References

Alam, S. A. (2015). Parental health shocks, child labor and educational outcomes: Evidence from Tanzania. J Health Econ, 44, 161-175. doi:10.1016/j.jhealeco.2015.09.004

Amarante, V., Ferrando, M., & Vigorito, A. (2011). School Attendance, Child Labor and Cash Transfers. An Impact Evaluation of PANES. IDEAS Working Paper Series from RePEc.

Amin, S., Shakil Quayes, M., & Rives, J. M. (2004). Poverty and Other Determinants of Child Labor in Bangladesh. Southern Economic Journal, 70(4), 876-892.

Angrist, J. D. (2001). Estimation of Limited Dependent Variable Models With Dummy Endogenous Regressors: Simple Strategies for Empirical Practice. Journal of Business & Economic Statistics, 19(1), 2-28. doi:10.1198/07350010152472571

Attanasio, O., Mesnard, A., Fitzsimons, E., GutiéRrez, M. I., Gomez, A., & Meghir, C. (2010). Children’s schooling and work in the presence of a conditional cash transfer program in rural Colombia. Economic Development and Cultural Change, 58(2), 181-210. doi:10.1086/648188

Baez, J., & Camacho, A. (2011). Assessing the Longterm Effects of Conditional Cash Transfers on Human Capital: Evidence from Colombia. IDEAS Working Paper Series from RePEc.

Baland, J. M., & Robinson, J. A. (2000). Is Child Labor Inefficient? Journal of Political Economy, 108(4), 663-679. doi:10.1086/316097

Bandara, A., Dehejia, R., & Lavie-Rouse, S. (2015). The Impact of Income and Non-Income Shocks on Child Labor: Evidence from a Panel Survey of Tanzania. World Development, 67, 218-237. doi:10.1016/j.worlddev.2014.10.019

Bappenas. (2013). Poverty Reductions Programs in Indonesia. Jakarta, Indonesia: Bappenas.

Basu, K., Das, S., & Dutta, B. (2010). Child labor and household wealth: Theory and empirical evidence of an inverted-U. Journal of Development Economics, 91(1), 8-14. doi:10.1016/j.jdeveco.2009.01.006

Basu, K., & Van, P. H. (1998). The Economics of Child Labor. The American Economic Review, 88(3), 412-427.

Beegle, K., Dehejia, R. H., & Gatti, R. (2006). Child labor and agricultural shocks. Journal of Development Economics, 81(1), 80-96. doi:10.1016/j. jdeveco.2005.05.003

BPS. (2015). Profil Penduduk Indonesia Hasil Supas 2015. Jakarta, Indonesia: BPS-Statistics Indonesia.

Cardoso, E., & Souza, A. P. (2004). The impact of cash transfers on child labor and school attendance in Brazil (Vol. No. 04-W07): TN: Vanderbilt University.

de Janvry, A., Finan, F., Sadoulet, E., & Vakis, R. (2006). Can conditional cash transfer programs serve as safety nets in keeping children at school and from working when exposed to shocks? Journal of Development Economics, 79(2), 349-373. doi:10.1016/j.jdeveco.2006.01.013

De Silva, I., & Sumarto, S. (2015). How do Educational Transfers Affect Child Labour Supply and Expenditures? Evidence from Indonesia of Impact and Flypaper Effects. Oxford Development Studies, 43(4), 483-507. doi:10.1080/1360 0818.2015.1032232

Deb, P., & Rosati, F. (2002). Determinants of Child Labor and School Attendance: The Role of Household Unobservables. IDEAS Working Paper Series from RePEc.

Dehejia, Rajeev H., & Gatti, R. (2005). Child Labor: The Role of Financial Development and Income Variability across Countries. Economic Development and Cultural Change, 53(4), 913-932. doi:10.1086/428714

Del Carpio, X., Loayza, N., & Wada, T. (2016). The Impact of Conditional Cash Transfers on the Amount and Type of Child Labor. World Development, 80, 33.

Edmonds, E. V., & Schady, N. (2012). Poverty Alleviation and Child Labor. American Economic Journal: Economic Policy, 4(4), 100-124. doi:10.1257/pol.4.4.100

Galiani, S., & McEwan, P. J. (2013). The heterogeneous impact of conditional cash transfers. Journal of Public Economics, 103, 85-96. doi:10.1016/j. jpubeco.2013.04.004

Gee, K. A. (2010). Reducing Child Labour Through Conditional Cash Transfers: Evidence from Nicaragua’s Red de Protección Social. Development Policy Review, 28(6), 711-732. doi:10.1111/j.1467-7679.2010.00506.x

Gitto, L., Santoro, D., & Sobbrio, G. (2006). Choice of dialysis treatment and type of medical unit (private vs public): application of a recursive bivariate probit. Health Economics, 15(11), 1251-1256. doi:10.1002/hec.1139

Glewwe, P., & Kassouf, A. L. (2012). The impact of the Bolsa Escola/Familia conditional cash transfer program on enrollment, dropout rates and grade promotion in Brazil. The Journal of Development Economics, 97(2), 505. doi:10.1016/j.jdeveco.2011.05.008

Glewwe, P., & Olinto, P. (2004). Evaluating the impact of conditional cash transfers on schooling: An experimental analysis of Honduras’ PRAF program. Unpublished manuscript, University of Minnesota.

Greene, W. H. (2012). Econometric analysis (7th ed. ed.). Boston, MA: Prentice Hall.

Hoop, J. d., & Rosati, F. C. (2014). Cash Transfers and Child Labor. World Bank Research Observer, 29(2), 202-234. doi:10.1093/wbro/lku003

Latif, E. (2009). The impact of diabetes on employment in Canada. Health Economics, 18(5), 577-589. doi:10.1002/hec.1390

Macdonald, Z., & Shields, M. A. (2004). Does problem drinking affect employment? Evidence from England. Health Economics, 13(2), 139-155. doi:10.1002/hec.816

Maluccio, J. A. (2010). The Impact of Conditional Cash Transfers on Consumption and Investment in Nicaragua. Journal of Development Studies, 46(1), 14-38. doi:10.1080/00220380903197952

Maluccio, J. A., & Flores, R. (2005). Impact evaluation of a conditional cash transfer program: The Nicaraguan Red de Protección Social. Research Report. International Food Policy Research Institute. Washington DC.

Miller, C., & Tsoka, M. (2012). Cash Transfers and Children’s Education and Labour among Malawi’s Poor. Development Policy Review, 30(4), 499-522. doi:10.1111/j.1467-7679.2012.00586.x

Ministry of Finance. (2016a). Implementation of Electronic Transfers in Indonesia Retrieved from Ministry of Finance. (2016b). Nota Keuangan Beserta Anggaran Pendapatan dan Belanja Negara Tahun 2016. Jakarta, Indonesia: Ministry of Finance.

Pais, P. S. M., Silva, F. d. F., & Teixeira, E. C. (2017). The influence of Bolsa Familia conditional cash transfer program on child labor in Brazil. International Journal of Social Economics, 44(2), 206-221. doi:10.1108/IJSE-02-2015-0038

Peruffo, M., & Ferreira, P. C. (2017). The Long-Term Effects of Conditional Cash Transfers on Child Labor and School Enrollment. Economic Inquiry, 55(4), 2008-2030. doi:10.1111/ecin.12457

Ravallion, M., & Wodon, Q. (2000). Does Child Labour Displace Schooling? Evidence on Behavioural Responses to an Enrollment Subsidy. The Economic Journal: the Quarterly Journal of the Royal Economic Society, 110, C.

Rosati, F. C. (2003). Children’s Working Hours and School Enrollment: Evidence from Pakistan and Nicaragua. The World Bank Economic Review, 17(2), 283-295. doi:10.1093/wber/lhg023

Sim, A., Suryadarma, D., & Suryahadi, A. (2017). The Consequences of Child Market Work on the Growth of Human Capital. World Development, 91, 144-155. doi:10.1016/j.worlddev.2016.11.007

Skoufias, E., & Parker, S. W. (2001). The Impact of Progresa on Work, Leisure and Time Allocation : Final Report. Retrieved from Washington, DC:

Suryahadi, A., Priyambada, A., & Sumarto, S. (2005). Poverty, School and Work: Children during the Economic Crisis in Indonesia. Development & Change, 36(2), 351-373. doi:10.1111/j.0012-155X.2005.00414.x

Tabatabai, H. (2009). Conditional Cash Transfers and Child Labour (Vol. 9, pp. 179-182).

Webbink, E., Smits, J., & de Jong, E. (2013). Household and context determinants of child labor in 221 districts of 18 developing countries. Social Indicators Research, 110(2), 819-836.

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed. ed.). Cambridge, Mass.: MIT Press.

World Bank. (2012a). Protecting Poor and Vulnerable Households in Indonesia. Jakarta, Indonesia: World Bank.

World Bank. (2012b). Social Assistance Program and Public Expenditure Review 5 : Cash Transfer for Poor Students Jakarta, Indonesia: World Bank.

Zapata, D., Contreras, D., & Kruger, D. (2011). Child Labor and Schooling in Bolivia: Who’s Falling Behind? The Roles of Domestic Work, Gender, and Ethnicity. World Development, 39(4), 588-599. doi:10.1016/j.worlddev.2010.08.022

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Published

2018-06-30