Skip to main content

Income Shocks and Child Labor: Evidence for the Rural Dominican Republic

  • Chapter
  • First Online:
Child Labor in the Developing World

Abstract

Child labor is a social problem with economic consequences for the growth and development of countries in the short and long term, affecting children’s physical and mental development because it interferes with their future wages. This article aims to assess how negative income shocks and economic assets are associated with child labor in the Dominican Republic. This issue is particularly important in the rural area, which is more prone to exogenous shocks and has fewer tools to mitigate them. The microdata from the Encuesta Nacional de Hogares de Propósitos Multiples (ENHOGAR) are used for 2010. The empirical strategy was to use a bivariate probit for considering that the decision to work and study is interdependent. The results show that the assets positively affect the child’s decision to study. On the other hand, negative household income shocks increase the choice of working. Finally, this chapter brings important results for the formulation of public policies aimed to effectively prevent and eradicate child labor in rural areas.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    This econometric model was also used in the works of Cerdas (2003); Sapelli and Torche (2004); Cacciamali, Tatei and Batista (2010); and Mesquita (2011) with similar purposes.

  2. 2.

    Cluster analysis aims to group sample elements according to some measure of similarity (social, geographical, economic and so on). Such grouping is performed so that the variability within the groups is the smallest possible, while the variability between the groups is maximized.

  3. 3.

    The transfer programs analyzed are aimed to encourage education, food and health in children and in beneficiary families.

  4. 4.

    See table in the annex.

  5. 5.

    See table in the annex.

  6. 6.

    It is important to emphasize that the signal of the marginal effects is the same of the estimated coefficients, thus not interfering in the interpretation.

References

  • Araújo, A.A. 2010. O Programa Bolsa-Família e o Trabalho Infantil no Brasil. Tese (Doutorado em Economia Aplicada). Universidade Federal de Viçosa (UFV), Viçosa, MG.

    Google Scholar 

  • Baland, J., and J.A. Robinson. 2000. Is child labor inefficient? Journal of Political Economy 108 (4): 663–679.

    Article  Google Scholar 

  • Bandara, A., R. Dehejia, and S. Lavie-Rouse. 2015. The impact of income and non-income shocks on child labor: Evidence from a panel survey of Tanzania. World Development 67 (1): 218–237.

    Article  Google Scholar 

  • Banco Central De La República Dominicana (BCRD): Database 2016. http://www.bancentral.gov.do/estadisticas_economicas. Accessed 1 May 2017.

  • Beegle, K., R. Dehejia, and R. Gatti. 2006. Child labor and agricultural shocks. Journal of Development Economics 81 (1): 80–96.

    Article  Google Scholar 

  • Brown, D.K., A.V. Deardorff, and R.M. Stern. 2001. Child labor: Theory, evidence and policy. Research Seminar in International Economics 474 (617): 2–78.

    Google Scholar 

  • Cain, M. 1982. Perspectives on family and fertility in developing countries. Population Studies: A Journal of Demography 36 (2): 37–41.

    Article  Google Scholar 

  • Cameron, C., and P. Trivedi. 2005. Microeconometrics, methods and applications. New York: Cambridge University Press.

    Book  Google Scholar 

  • Canagarajah, S. and H. Coulombe. 1999. Child labor and schooling in Ghana. World Bank Economic and Sector Work (ESW) 1 (1): 1–39.

    Google Scholar 

  • Cardoso, E., and A. Souza. 2004. The impact of cash transfers on child labor and school attendance in Brazil. Working Papers, v. 407. Nashville: Vanderbilt University.

    Google Scholar 

  • Cacciamali, M.C., F. Tatei, and N.F. Batista. 2010. Impactos do Programa Bolsa Família Federal sobre o Trabalho Infantil e a Frequência Escolar. R. Econ. Contemp. Rio deJaneiro 14 (2): 269–301.

    Google Scholar 

  • Cerdas, A. 2003. Deserción escolar y trabajo infantil en Costa Rica Ana. Pontifica Universidad Caotolica de Chile (Dissertation).

    Google Scholar 

  • Dehejia, R.H., and R. Gatti. 2005. Child labor: The role of income variability and credit constraints across countries. Economic Development and Cultural Change 53 (4): 913–932.

    Article  Google Scholar 

  • Dessy, S.E., and S. Pallage. 2001. Child labor and coordination failures. Journal of Development Economics 65 (2): 469–476.

    Article  Google Scholar 

  • Drevenstedt, G., and M. Eileen. 2008. The rise and fall of excess male infant mortality. Journal of Economic Literature 50 (6): 5016–5021.

    Google Scholar 

  • Duflo, E. 2012. Women empowerment and economic development. Journal of Economic Literature 50 (4): 1051–1079.

    Google Scholar 

  • Dumas, C. 2013. Market imperfections and child labor. World Development 42 (1): 127–142.

    Article  Google Scholar 

  • Duryea, S. 1998. Children’s advancement through school in Brazil: The role of transitory shocks to household income. Working Paper #376. Washington, DC: Inter-American Development Bank.

    Google Scholar 

  • Duryea, S., D. Lam, and D. Levison. 2007. Effects of economic shocks on children’s employment and schooling in Brazil. Journal of Development Economics 84 (1): 188–214.

    Article  Google Scholar 

  • Emerson, P.M., and A.P. Souza. 2002. Bargaining over sons and daughters: Child Labor, School Attendance and Intra-Household Gender Bias in Brazil. Working Paper No. 02-W13. Nashville: Department of Economics Vanderbilt University.

    Google Scholar 

  • Fallon, P.R., and R.E.B. Lucas. 2002. The impact of financial crises on labor markets, household incomes, and poverty: A review of evidence. The International Bank for Reconstruction and Development 17 (1): 21–45.

    Google Scholar 

  • Frankenberg, E., and J.P. Smith. 2003. Economic shocks, wealth and welfare. The Journal of Human Resources 38 (2): 280–321.

    Article  Google Scholar 

  • Funkhouser, E. 1999. Cyclical economic conditions and school attendance in Costa Rica. Economics of Education Review 14 (1): 31–50.

    Article  Google Scholar 

  • Guzmán, R.M., and C. Cruz. 2009. Niños, Niñas y Adolescentes Fuera del Sistema Educativo en República Dominicana. Foro Socioeducativo de la República Dominicana. Proyecto Un foro para la Mejora de la Educación Dominicana.

    Google Scholar 

  • ILO-BID—International Labor Office (ILO); Banco Intermaricano Desarrollo (BID). 2008. Diagnóstico de Situación del Trabajo Infantil y Sus Peores formas en República Dominicana.

    Google Scholar 

  • ILO-IPEC—International Labour Office (ILO); International Programme on the Elimination of Child Labour (IPEC). 2002. Un Estudio Exploratorio sobre el Trabajo Infantil Doméstico en Hogares de Terceros en República Dominicana.

    Google Scholar 

  • ———. 2013. Marking Progress Against Child Labor.

    Google Scholar 

  • Jafarey, S., and S. Lahiri. 2002. Will trade sanctions reduce child labour? The role of credit markets. Journal of Development Economics 68 (1): 137–156.

    Google Scholar 

  • Kassouf, A.L. 2007. O que conhecemos sobre o trabalho infantil? Nova Economia 17 (2): 323–350.

    Article  Google Scholar 

  • Kruger, D., R. Rodrigo Soares, M. Berthelon. 2007. Household choices of child labor and schooling: A simple model with application to Brazil. ForschungsinstitutzurZukunft der Arbeit Institute for the Study of Labor. Discussion.

    Google Scholar 

  • Lozano, J.M.. 2012. Determinantes de la Deserción y Repitencia Escolar de los Hogares en Condiciones de Pobreza en la República Dominicana. Universidad Católica de Santo Domingo (UCSD). Dominican Republic.

    Google Scholar 

  • Mesquita, S.P.D.E. 2011. Migração Familiar e Trabalho Infantil no Brasil Urbano. Dissertação (Mestrado em Economia). Universidade Federal da Paraíba, João Pessoa, Pernambuco.

    Google Scholar 

  • Nurwita, E., and R. Rinaldi. 2009. Poverty as child labor internal migration’s determinant. Journal of Indonesian Economy and Business 24 (3): 347–362.

    Google Scholar 

  • ONE—National Statical Office: Survey 2010. Available in 2010.

    Google Scholar 

  • ONE—Oficina Nacional de Estadísticas (ONE): Data Base of 2017. 2010. http://one.gob.do/Estadisticas/208/medioambiente. Accessed 9 May 2017.

  • Orraca, P. 2014. El Trabajo Infantil en México y sus Causas. Revista Problemas del Desarrollo 45 (178): 113–137.

    Google Scholar 

  • Ranjan, P. 1999. An economic analysis of child labor. Economics Letters 64 (1): 99–105.

    Google Scholar 

  • Ravallion, M., and Q. Wodon. 2000. Does child labor displace schooling ? Evidence on behavioural responses to an enrollment subsidy. The Economic 110 (1): 158–175.

    Google Scholar 

  • Sapelli, C., and A. Torche. 2004. Deserción Escolar y Oferta de Trabajo de los Jóvenes: ¿Dos Caras de un mismo proceso de decisión?, Documento de Trabalho, Pontificia Universidad Católica de Chile, Instituto de Economía.

    Google Scholar 

  • Smith, J.P., et al. 2002. Wages, employment and economic shocks: Evidence from Indonesia. Journal of Population Economics 15 (1): 161–193.

    Article  Google Scholar 

  • Soto, P., and A. Taveras. 2015. Deserción Escolar y Trabajo Infantil. Un estudio sobre los determinantes de ambas decisiones en la República Dominicana. Universidad Iberoamericana (UNIBE). Dominican Republic.

    Google Scholar 

  • UCW—Understanding Children’s Work (UCW). 2014. Entendiendo el trabajo infantil y el empleo juvenil en la República Dominicana.

    Google Scholar 

  • WBD—World Bank Data (WBD): Data Base of 2016. http://data.worldbank.org/. Accessed 1 May 2017.

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Annex

Annex

Table 5.4 Description of the variables in the bivariate probit model
Table 5.5 Descriptive statistics of the main explanatory variables of the model (Dominican Republic, 2010)
Table 5.6 Impact of variables on child labor decision and school attendance, by sex of the children (Dominican Republic)
Table 5.7 Impact of variables on child labor decision and school attendance, by age group (Dominican Republic)

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Cuevas, E.R., Costa, L.V. (2020). Income Shocks and Child Labor: Evidence for the Rural Dominican Republic. In: Posso, A. (eds) Child Labor in the Developing World. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-15-3106-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-3106-4_5

  • Published:

  • Publisher Name: Palgrave Macmillan, Singapore

  • Print ISBN: 978-981-15-3105-7

  • Online ISBN: 978-981-15-3106-4

  • eBook Packages: Economics and FinanceEconomics and Finance (R0)

Publish with us

Policies and ethics