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The effect of corruption on labour market outcomes

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  • Cooray, Arusha
  • Dzhumashev, Ratbek

Abstract

We develop a theoretical model to investigate the relation between corruption and labour supply. The theoretical model shows that corruption affects labour supply in the formal sector by reducing productivity, changing the supply of labour in the shadow economy, altering the tax burden, and distorting the saving-consumption trade-off. The predictions of the theoretical model are tested by using panel data methods for 132 countries. Using the labour force participation rate (LFPR) and employment to population ratio as proxies for labour supply, the estimated empirical results show that corruption has a statistically significant robust direct negative effect on the LFPR and employment to population ratio. Corruption also has an indirect effect on the LFPR and employment to population ratio through a higher tax burden and increase in size of the shadow economy. Higher wages, an increase in consumption, and better regulatory quality are found to reduce the negative impact of corruption on labour supply, however, the overall effect on labour supply is negative, suggesting that the negative effects of corruption outweigh the positive effects of improved regulatory quality, wages, and higher consumption. Our findings imply that in order to reduce the negative effect of corruption on labour supply, governments need to develop a comprehensive approach to not only combatting corruption itself but also working on improving regulation and promoting policies that decrease activities in the shadow economy.

Suggested Citation

  • Cooray, Arusha & Dzhumashev, Ratbek, 2018. "The effect of corruption on labour market outcomes," Economic Modelling, Elsevier, vol. 74(C), pages 207-218.
  • Handle: RePEc:eee:ecmode:v:74:y:2018:i:c:p:207-218
    DOI: 10.1016/j.econmod.2018.05.015
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    4. Henri Njangang & Simplice A. Asongu & Eric Mouchili, 2022. "Does corruption starve? An African perspective," Working Papers 22/022, European Xtramile Centre of African Studies (EXCAS).
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    6. Chan, Kenneth S. & Dang, Vinh Q.T. & Li, Tingting, 2019. "The evolution of corruption and development in transitional economies: Evidence from China," Economic Modelling, Elsevier, vol. 83(C), pages 346-363.
    7. Kshitiz Shrestha & Jorge Martinez‐Vazquez & Charles Hankla, 2023. "Political decentralization and corruption: Exploring the conditional role of parties," Economics and Politics, Wiley Blackwell, vol. 35(1), pages 411-439, March.
    8. Uchenna EFOBI & Xuan VINH VO & Emmanuel ORKOH, 2022. "Are there wages from “sin”? Working conditions spillover from paying bribe in Vietnam," Small Business Economics, Springer, vol. 58(4), pages 1975-1995, April.
    9. Li, Qiang & An, Lian & Zhang, Ren, 2023. "Corruption drives brain drain: Cross-country evidence from machine learning," Economic Modelling, Elsevier, vol. 126(C).
    10. Tao, Miaomiao & Dagestani, Abd Alwahed & Goh, Lim Thye & Zheng, Yuhang & Le, Wen, 2023. "Do China's anti-corruption efforts improve corporate productivity? A difference-in-difference exploration of Chinese listed enterprises," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    11. Auer, Daniel & Römer, Friederike & Tjaden, Jasper, 2020. "Corruption and the Desire to Leave Quasi-Experimental Evidence on Corruption as a Driver of Emigration Intentions," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1), pages 1-1.
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    Keywords

    Corruption; Labour market;

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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