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Earnings and Employment Sector Choice in Kenya

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  • Robert Kivuti Nyaga

    (Kenya Institute for Public Policy Research and Analysis)

Abstract

The level of participation in employment and wages paid in the labour market can be assessed by comparing relative sectoral labour compensation amounts, participation rates and skill distribution of the workforce. In addition, the level of participation in employment and differences in wages paid in any given sector are affected by both individual factors and sector-specific factors. The study estimates a multinomial logit model and selection-corrected earnings models to determine participation and earnings in various employment sectors. This study finds clear differences in the formal private and public employment sectors relative to the vast informal sector. Regression results confirm that education is the key determinant of both participation and wage earnings. Attainment of higher levels of education is related to a greater likelihood of working in private and public sectors and earning higher wages in these sectors, relative to working in the informal sector. Gender disaggregated participation and earnings models show that in contrast to men, university education has a considerable effect on women’s participation and earnings in the formal sectors. Education attainment however, a primary factor in participation and earnings determination, weakly explains participation in the typically low-wage informal sector whose stable employment growth coincides with the stagnation in the public and private sectors. Even with its characteristic low wages, to many job seekers the informal sector is where jobs can still be found.

Suggested Citation

  • Robert Kivuti Nyaga, 2010. "Earnings and Employment Sector Choice in Kenya," Working Papers 199, African Economic Research Consortium, Research Department.
  • Handle: RePEc:aer:wpaper:199
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    Cited by:

    1. Kentaro Shimada & Zeba Khan & Suguru Mizunoya & Ayako Wakano, 2016. "An Update of the Returns to Education in Kenya: Accounting both endogeneity and sample selection biases," Discussion Papers in Economics and Business 16-18, Osaka University, Graduate School of Economics.
    2. Shiti Junior, Forster & Baah-Boateng, William & Baah-Nuakoh, Amoah, 2017. "Non-Pecuniary Determinants of Occupational Choice in the Entertainment and Sports Industry: A Ghana Study," MPRA Paper 109690, University Library of Munich, Germany.
    3. Nkechi S. Owoo, 2016. "Determinants of choice of economic sector in the non-farm economy in Ghana," African Journal of Economic and Sustainable Development, Inderscience Enterprises Ltd, vol. 5(1), pages 31-54.
    4. Vincent Leyaro & Priscilla Twumasi Baffour & Oliver Morrissey & Trudy Owens, 2014. "Determinants of Urban Labour Earnings in Tanzania, 2000/01-06," Discussion Papers 14/03, University of Nottingham, CREDIT.

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