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Shadow price of working in the shadows: services industry evidence

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  • Tufan Ekici
  • Mustafa Besim

Abstract

In this paper, we use an exogenous policy variation in the labour market to determine the wage gap between formally and informally employed workers. For our purposes, ‘informal employment’ describes employees who are not officially registered with any social security scheme. We use self-reported employee registration status to identify such workers, but the choice of working unregistered is not exogenous. Nevertheless, through an amnesty that was extended to only some workers in the labour market, we reduce the endogeneity problem, enabling estimation of the wage gap between these two groups. Our two-stage least square estimates reveal that the hourly wage penalty of working in the shadows is as high as 59%, and the monthly salary penalty is around 66%. Moreover, the wage gap is higher (as high as 70%) for those working in the services sector, as unregistered workers in this sector tend to be low skilled and low educated, and the monitoring of this sector is more difficult. Our analysis contributes to the literature by using an instrumental variable to treat the endogeneity of workers’ registration status. In addition, it shows that people working informally in the services industry receive a higher average wage penalty than other informally employed workers.

Suggested Citation

  • Tufan Ekici & Mustafa Besim, 2018. "Shadow price of working in the shadows: services industry evidence," The Service Industries Journal, Taylor & Francis Journals, vol. 38(11-12), pages 708-722, September.
  • Handle: RePEc:taf:servic:v:38:y:2018:i:11-12:p:708-722
    DOI: 10.1080/02642069.2018.1467402
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    Cited by:

    1. Maciej Berk{e}sewicz & Dagmara Nikulin, 2019. "Estimation of the size of informal employment based on administrative records with non-ignorable selection mechanism," Papers 1906.10957, arXiv.org.
    2. Maciej Berȩsewicz & Dagmara Nikulin, 2021. "Estimation of the size of informal employment based on administrative records with non‐ignorable selection mechanism," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 667-690, June.

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