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On the willingness to exit street hawking

Author

Listed:
  • Jumah, Adusei

    (Central University, Accra, Ghana)

  • Somua-Wiafe, Ernest

    (Central University, Accra, Ghana)

  • Apom, Barnabas

    (Researchlime Ltd, Accra, Ghana)

Abstract

This paper uses a generalized estimating equations approach to investigate the willingness of street hawkers in Accra to exit their trade when offered viable alternatives. We observe a direct relationship between willingness to exit hawking and age. Willingness to exit hawking declines over increasing experience. Hawkers who have encountered arrest are less likely to exit. Also, hawkers who received financial assistance to facilitate their business are less likely to exit. Plus, monthly savings from hawking may indirectly influence a rejection of the offer to start an alternative trade. Finally, the willingness to quit hawking is not significantly influenced by gender, sales revenue, and the road description in the model. The results of the analysis could help improve the success of future intervention programmes.

Suggested Citation

  • Jumah, Adusei & Somua-Wiafe, Ernest & Apom, Barnabas, 2021. "On the willingness to exit street hawking," IHS Working Paper Series 34, Institute for Advanced Studies.
    • Handle: RePEc:ihs:ihswps:34
    as

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    File URL: https://irihs.ihs.ac.at/id/eprint/5888/
    File Function: First version, 2021
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    References listed on IDEAS

    as
    1. Mrs. C. Pappeswari & Mrs. S. Rajalakshmi, 2014. "Socio-Economic Conditions of Street Food Vendors - With Special Reference to Tiruchendur Area," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 5(1), pages 70-77, January.
    2. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    3. Kathryn M. Aloisio & Sonja A. Swanson & Nadia Micali & Alison Field & Nicholas J. Horton, 2014. "Analysis of partially observed clustered data using generalized estimating equations and multiple imputation," Stata Journal, StataCorp LP, vol. 14(4), pages 863-883, December.
    4. John G. Cragg & Russell S. Uhler, 1970. "The Demand for Automobiles," Canadian Journal of Economics, Canadian Economics Association, vol. 3(3), pages 386-406, August.
    5. Hin, Lin-Yee & Carey, Vincent J. & Wang, You-Gan, 2007. "Criteria for WorkingCorrelationStructure Selection in GEE: Assessment via Simulation," The American Statistician, American Statistical Association, vol. 61, pages 360-364, November.
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    More about this item

    Keywords

    Street hawking; GEE; logit; willingness to exit;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy

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