IDEAS home Printed from https://ideas.repec.org/p/htr/hcecon/02-9.html
   My bibliography  Save this paper

Determinants of Child Labor and School Attendance: The Role of Household Unobservables

Author

Listed:

Abstract

We develop a semi-parametric latent class random effects multinomial logit model to distinguish between observed and unobserved household characteristics as determinants of child labor, school attendance and idleness. We find that much of the substitution between activities as a response to changes in covariates is between attending school and being idle, with work being rather resistant. Unobserved household heterogeneity is substantial and swamps observed income and wealth heterogeneity. A characterization of households into latent types reveals very different instrinsic propensities towards the three children's activities and that households with a high propensity to send their children to school are poorer and have less educated parents compared to households in the other classes.

Suggested Citation

  • Partha Deb & Furio Rosati, 2002. "Determinants of Child Labor and School Attendance: The Role of Household Unobservables," Economics Working Paper Archive at Hunter College 02/9, Hunter College Department of Economics.
  • Handle: RePEc:htr:hcecon:02/9
    as

    Download full text from publisher

    File URL: http://econ.hunter.cuny.edu/wp-content/uploads/sites/6/RePEc/papers/HunterEconWP02-9.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kaushik Basu, 1999. "Child Labor: Cause, Consequence, and Cure, with Remarks on International Labor Standards," Journal of Economic Literature, American Economic Association, vol. 37(3), pages 1083-1119, September.
    2. Sin, Chor-Yiu & White, Halbert, 1996. "Information criteria for selecting possibly misspecified parametric models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 207-225.
    3. Ranjan, Priya, 2001. "Credit constraints and the phenomenon of child labor," Journal of Development Economics, Elsevier, vol. 64(1), pages 81-102, February.
    4. Browning, Martin & Francois Bourguignon & Pierre-Andre Chiappori & Valerie Lechene, 1994. "Income and Outcomes: A Structural Model of Intrahousehold Allocation," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1067-1096, December.
    5. Lee, Lung-fei, 2000. "A numerically stable quadrature procedure for the one-factor random-component discrete choice model," Journal of Econometrics, Elsevier, vol. 95(1), pages 117-129, March.
    6. Jain, Dipak C & Vilcassim, Naufel J & Chintagunta, Pradeep K, 1994. "A Random-Coefficients Logit Brand-Choice Model Applied to Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 317-328, July.
    7. Jean-Marie Baland & James A. Robinson, 2000. "Is Child Labor Inefficient?," Journal of Political Economy, University of Chicago Press, vol. 108(4), pages 663-679, August.
    8. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    9. Ranjan Ray, 2000. "Analysis of child labour in Peru and Pakistan: A comparative study," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(1), pages 3-19.
    10. Peter Jensen & Helena Skyt Nielsen, 1997. "Child labour or school attendance? Evidence from Zambia," Journal of Population Economics, Springer;European Society for Population Economics, vol. 10(4), pages 407-424.
    11. Borjas, George J. & Sueyoshi, Glenn T., 1994. "A two-stage estimator for probit models with structural group effects," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 165-182.
    12. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    13. Butler, J S & Moffitt, Robert, 1982. "A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model," Econometrica, Econometric Society, vol. 50(3), pages 761-764, May.
    14. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
    15. Keane, Michael, 1993. "Simulation estimation for panel data models with limited dependent variables," MPRA Paper 53029, University Library of Munich, Germany.
    16. Behrman, Jere R., 1993. "Intrahousehold distribution and the family," Handbook of Population and Family Economics,in: M. R. Rosenzweig & Stark, O. (ed.), Handbook of Population and Family Economics, edition 1, volume 1, chapter 4, pages 125-187 Elsevier.
    17. Kim, Byung-Do & Blattberg, Robert C & Rossi, Peter E, 1995. "Modeling the Distribution of Price Sensitivity and Implications for Optimal Retail Pricing," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 291-303, July.
    18. FurioCamillo Rosati & Zafiris Tzannatos, 2006. "Child Labour In Vietnam," Pacific Economic Review, Wiley Blackwell, vol. 11(1), pages 1-31, February.
    19. Ravallion, Martin & Wodon, Quentin, 2000. "Does Child Labour Displace Schooling? Evidence on Behavioural Responses to an Enrollment Subsidy," Economic Journal, Royal Economic Society, vol. 110(462), pages 158-175, March.
    20. Pudney, Stephen & Galassi, Francesco L & Mealli, Fabrizia, 1998. "An Econometric Model of Farm Tenures in Fifteenth-Century Florence," Economica, London School of Economics and Political Science, vol. 65(260), pages 535-556, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eric V. Edmonds, 2005. "Does Child Labor Decline with Improving Economic Status?," Journal of Human Resources, University of Wisconsin Press, vol. 40(1).
    2. Rubiana Chamarbagwala & Rusty Tchernis, 2006. "The Role of Social Norms in Child Labor and Schooling in India," Caepr Working Papers 2006-016, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
    3. Lanzona, Leonardo & Aldaba, Fernando T. & Tamangan, Ronald J., 2006. "An Empirical Analysis on the Tradeoff between Schooling and Child Labor in the Philippines," Philippine Journal of Development PJD 2004 Vol. XXXI No. 2-, Philippine Institute for Development Studies.
    4. Baland, Jean-Marie & Duprez, Cédric, 2007. "Are Fair Trade Labels Effective Against Child Labour?," CEPR Discussion Papers 6259, C.E.P.R. Discussion Papers.
    5. Jayanta Sarkar & Dipanwita Sarkar, 2016. "Why Does Child Labor Persist With Declining Poverty?," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 139-158, January.
    6. Rubiana Chamarbagwala & Rusty Tchernis, 2010. "Exploring the spatial determinants of children’s activities: evidence from India," Empirical Economics, Springer, vol. 39(2), pages 593-617, October.
    7. Papa Seck, 2005. "Do Parents Favor their Biological Offspring over Adopted Orphans? Theory and Evidence from Tanzania," Economics Working Paper Archive at Hunter College 409, Hunter College Department of Economics.
    8. Kulsoom, Rafia, 2007. "Child Labor at District Level: A Case Study of Rawalpindi," MPRA Paper 17224, University Library of Munich, Germany.
    9. Leonardo Becchetti & Stefano Castriota & Melania Michetti, 2013. "The effect of fair trade affiliation on child schooling: evidence from a sample of Chilean honey producers," Applied Economics, Taylor & Francis Journals, vol. 45(25), pages 3552-3563, September.
    10. Carvalho, José Raimundo & Marinho, Emerson & Loria, Francesca, 2012. "Idleness, returns to education and child labor," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 66(4), December.
    11. VERHEYDEN Bertrand & FAYE Ousmane, 2011. "Fertility and Child Occupation: Theory and Evidence from Senegal," LISER Working Paper Series 2011-59, LISER.
    12. Daniela Vuri, 2010. "The Effect of Availability of School and Distance to School on Children's Time Allocation in Ghana," LABOUR, CEIS, vol. 24(s1), pages 46-75, December.
    13. Jellal, Mohamed & Tarbalouti, Essaid, 2012. "Institutions éducation et travail des enfants
      [Institutions education and child labor]
      ," MPRA Paper 39384, University Library of Munich, Germany.
    14. Goto, Hideaki, 2011. "Social norms, inequality and child labor," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 806-814.
    15. Mukherjee, Dipa, 2010. "Child workers in India: an overview of macro dimensions," MPRA Paper 35049, University Library of Munich, Germany, revised 2011.
    16. repec:fgv:epgrbe:v:66:n:4:a:1 is not listed on IDEAS
    17. Baland, Jean-Marie & Duprez, Cédric, 2009. "Are labels effective against child labor?," Journal of Public Economics, Elsevier, vol. 93(11-12), pages 1125-1130, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:htr:hcecon:02/9. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Jonathan Conning). General contact details of provider: http://edirc.repec.org/data/dhcunus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.