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Who benefits from being self-employed in urban Ghana?

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Abstract
The income gap between the self-employed and wage earners is of interest particular in developing countries. This is because this gap can explain to some extent the observed inequality in income. Literature suggests that in developing countries formal sector workers tend to be wage earners while the self-employed mostly work in the informal sector.Â

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  • Adeola Oyenubi, 2019. "Who benefits from being self-employed in urban Ghana?," Working Papers 189, Economic Research Southern Africa.
    • Handle: RePEc:rza:wpaper:189
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    Cited by:

    1. Naraidoo, Ruthira & Paya, Ivan, 2012. "Forecasting monetary policy rules in South Africa," International Journal of Forecasting, Elsevier, vol. 28(2), pages 446-455.
    2. Luchelle Soobyah & Mulalo Mamburu & Nicola Viegi, 2023. "IsSouthAfricafallingintoafiscaldominantregime," Working Papers 11041, South African Reserve Bank.
    3. Leroi RAPUTSOANE, 2016. "Financial Stress Indicator Variables and Monetary Policy in South Africa," Journal of Economics Bibliography, KSP Journals, vol. 3(2), pages 203-214, June.
    4. Ellyne, Mark & Veller, Carl, 2011. "What is the SARB's inflation targeting policy, and is it appropriate?," MPRA Paper 42134, University Library of Munich, Germany.
    5. Tumisang Loate & Ekaterina Pirozhkova & Nicola Viegi, 2021. "Sailing into the Wind evaluating the near future of Monetary Policy in South Africa," Working Papers 11006, South African Reserve Bank.
    6. Leroi RAPUTSOANE, 2015. "The lean versus clean debate and monetary policy in South Africa," Journal of Economics and Political Economy, KSP Journals, vol. 2(4), pages 467-480, December.
    7. Mehmet Balcilar & Rangan Gupta & Kevin Kotzé, 2017. "Forecasting South African macroeconomic variables with a Markov-switching small open-economy dynamic stochastic general equilibrium model," Empirical Economics, Springer, vol. 53(1), pages 117-135, August.
    8. Georgiadis, Georgios & Jančoková, Martina, 2020. "Financial globalisation, monetary policy spillovers and macro-modelling: Tales from 1001 shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    9. Chesang, Laban K. & Naraidoo, Ruthira, 2016. "Parameter uncertainty and inflation dynamics in a model with asymmetric central bank preferences," Economic Modelling, Elsevier, vol. 56(C), pages 1-10.
    10. Raputsoane, Leroi, 2018. "Targeting financial stress as opposed to the exchange rate," MPRA Paper 84865, University Library of Munich, Germany.
    11. Davide Debortoli & Ricardo Nunes, 2014. "Monetary Regime Switches and Central Bank Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1591-1626, December.
    12. Alessandro Piergallini, 2019. "Nonlinear policy behavior, multiple equilibria and debt-deflation attractors," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 563-580, April.
    13. Ruch,Franz Ulrich, 2021. "Neutral Real Interest Rates in Inflation Targeting Emerging and Developing Economies," Policy Research Working Paper Series 9711, The World Bank.
    14. Baaziz, Yosra & Labidi, Moez & Lahiani, Amine, 2013. "Does the South African Reserve Bank follow a nonlinear interest rate reaction function?," Economic Modelling, Elsevier, vol. 35(C), pages 272-282.
    15. Ruthira Naraidoo & Leroi Raputsoane, 2015. "Financial markets and the response of monetary policy to uncertainty in South Africa," Empirical Economics, Springer, vol. 49(1), pages 255-278, August.
    16. Njindan Iyke, Bernard, 2017. "Asymmetries in Yield Curves: Some Empirical Evidence from Ghana," MPRA Paper 79155, University Library of Munich, Germany.
    17. Kasai, Ndahiriwe & Naraidoo, Ruthira, 2011. "Evaluating the forecasting performance of linear and nonlinear monetary policy rules for South Africa," MPRA Paper 40699, University Library of Munich, Germany.
    18. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    19. Philippe Burger, 2014. "Inflation and Market Uncertainty in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 82(4), pages 583-602, December.

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    More about this item

    Keywords

    Africa; Development Economics; Labour Market; Panel data; Quantitative Methods; Social welfare;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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