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Neighbourhood effects and the incidence of child labour

Author

Listed:
  • Sylvanus Gaku

    (Kansas State University)

  • Emmanuel S. Tsyawo

    (FGSES, Mohammed VI Polytechnic University)

Abstract

In spite of the growing interest in factors driving the incidence of child labour, little is known of the relationship between neighbours’ decisions and a child’s propensity to engage in paid work, i.e., the neighbourhood effect. This paper examines this relationship using the spatial autoregressive linear probability model. We find a positive and highly significant relationship. Using several subsample analyses, we find that the relationship is stronger for males and for children in rural areas. Contrary to earlier studies, the association between poverty and the incidence of child labour is relatively weak in the presence of neighbourhood effects. We also find that the propensity to engage in child labour is increasing in the level of employment at the community level.

Suggested Citation

  • Sylvanus Gaku & Emmanuel S. Tsyawo, 2021. "Neighbourhood effects and the incidence of child labour," Letters in Spatial and Resource Sciences, Springer, vol. 14(3), pages 247-259, December.
    • Handle: RePEc:spr:lsprsc:v:14:y:2021:i:3:d:10.1007_s12076-021-00276-3
    DOI: 10.1007/s12076-021-00276-3
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    References listed on IDEAS

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    8. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    9. Ray, Ranjan, 2000. "Child Labor, Child Schooling, and Their Interaction with Adult Labor: Empirical Evidence for Peru and Pakistan," The World Bank Economic Review, World Bank, vol. 14(2), pages 347-367, May.
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    11. Nielsen, H.S., 1998. "Child Labor and School Attendance: Two Joint Decisions," Papers 98-15, Centre for Labour Market and Social Research, Danmark-.
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    Cited by:

    1. Sylvanus Gaku, 2022. "Understanding Ghana’s Expenditure Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1463-1480, December.
    2. Clara-Christina E. Gerstner & Emmanuel S. Tsyawo, 2022. "Policy spillover effects on student achievement: evidence from PISA," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 523-541, December.

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    More about this item

    Keywords

    Child labour; Poverty; Neighbourhood effect; Spatial autoregressive model; Linear probability model;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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