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On The Mother And Child Labor Nexus Under Credit Constraints: Findings From Rural India

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  • Yasuyuki SAWADA
  • Kensuke KUBO
  • Nobuhiko FUWA
  • Seiro ITO
  • Takashi KUROSAKI

Abstract

There is an emerging consensus that lack of credit is a major cause of child labor and inequality in the intrahousehold distribution of resources. At the same time, patterns in how children spend their time appear to be strongly influenced by maternal employment decisions. This paper includes an assessment of the effect of credit constraints on maternal employment and that of maternal employment on the intrahousehold allocation of labor, a nexus which has been left unexplored by existing studies. Three findings emerge: (1) a mother is more likely to work outside when a household lacks resources, and her domestic labor can be easily replaced by other members, (2) credit market accessibility is one of the major determinants of maternal labor, and (3) elder daughters assume a large part of the burden of maternal employment by providing domestic labor. Under binding credit constraints, results of this study support the collective as opposed to the unitary model of households.

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  • Yasuyuki SAWADA & Kensuke KUBO & Nobuhiko FUWA & Seiro ITO & Takashi KUROSAKI, 2006. "On The Mother And Child Labor Nexus Under Credit Constraints: Findings From Rural India," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 465-499, December.
    • Handle: RePEc:bla:deveco:v:44:y:2006:i:4:p:465-499
    DOI: 10.1111/j.1746-1049.2006.00025.x
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    Cited by:

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    2. Takashi KUROSAKI & Seiro ITO & Nobuhiko FUWA & Kensuke KUBO & Yasuyuki SAWADA, 2006. "Child Labor And School Enrollment In Rural India: Whose Education Matters?," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 440-464, December.
    3. Makino, Momoe, 2012. "What motivates female operators to enter the garment industry in Pakistan in the post-MFA period?," IDE Discussion Papers 374, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    4. Sonia LASZLO & Eric SANTOR, 2009. "Migration, Social Networks, And Credit: Empirical Evidence From Peru," The Developing Economies, Institute of Developing Economies, vol. 47(4), pages 383-409, December.
    5. Simtowe, Franklin, 2009. "Is relaxing equity constraints panacea for Malawi’s green gold expansion? A fuzzy regression discontinuity design approach," MPRA Paper 17065, University Library of Munich, Germany.
    6. Nobuhiko FUWA & Seiro ITO & Kensuke KUBO & Takashi KUROSAKI & Yasuyuki SAWADA, 2006. "Introduction To A Study Of Intrahousehold Resource Allocation And Gender Discrimination In Rural Andhra Pradesh, India," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 375-397, December.
    7. María Noelia Garbero, 2012. "Un análisis de los efectos de las restricciones de liquidez en la acumulación de capital humano: Evidencia para Nicaragua," CEDLAS, Working Papers 0136, CEDLAS, Universidad Nacional de La Plata.
    8. Franklin Simtowe & Manfred Zeller & Aliou Diagne, 2009. "The impact of credit constraints on the adoption of hybrid maize in Malawi," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 90(1), pages 5-22.
    9. Beke, Tite Ehuitché, 2011. "Institutional constraints and adoption of improved rice varieties: Econometric evidence from Ivory Coast," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 92(2).
    10. Momoe Makino, 2018. "Birth Order and Sibling Sex Composition Effects Among Surviving Children in India: Enrollment Status and Test Scores," The Developing Economies, Institute of Developing Economies, vol. 56(3), pages 157-196, September.
    11. Tite Ehuitché Beke, 2011. "Institutional constraints and adoption of improved rice varieties: Econometric evidence from Ivory Coast," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 92(2), pages 117-141.

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