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Short, Long and Spatial Dynamics of Informal Employment

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  • Paolo Di Caro
  • Giuseppe Nicotra

Abstract

Di Caro P. and Nicotra G. Short, long and spatial dynamics of informal employment, Regional Studies. This paper analyses regional shadow labour markets. Cross-regional migration flows are introduced in a stochastic two-sector model used to study the effects of regional interactions on informality. Empirical results show that informal activities across Italian regions are driven by the inefficient provision of public goods and high taxes. Regional connections are found to be significant. Place-specific reactions of informal employment to national shocks in the official economy are investigated, finding that the informal sector can act as a complement to or a substitute for formal activities. The summary of the results and policy conclusions are then discussed.

Suggested Citation

  • Paolo Di Caro & Giuseppe Nicotra, 2016. "Short, Long and Spatial Dynamics of Informal Employment," Regional Studies, Taylor & Francis Journals, vol. 50(11), pages 1804-1818, November.
    • Handle: RePEc:taf:regstd:v:50:y:2016:i:11:p:1804-1818
    DOI: 10.1080/00343404.2015.1072274
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    References listed on IDEAS

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    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
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    4. Edoardo Di Porto & Leandro Elia & Cristina Tealdi, 2013. "The "emersion" effect: an ex post and ex ante social program evaluation on labor tax evasion in Italy," Working Papers 2/2013, IMT School for Advanced Studies Lucca, revised Jun 2013.
    5. Tito Boeri & Pietro Garibaldi, "undated". "Shadow Activity and Unemployment in a Depressed Labor Market," Working Papers 177, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Edoardo Di Porto & Vincent Merlin & Sonia Paty, 2013. "Cooperation among local governments to deliver public services: a "structural" bivariate response model with fixed effects and endogenous covariate," Post-Print halshs-00861226, HAL.
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    Cited by:

    1. Maciej Beręsewicz & Dagmara Nikulin, 2018. "Informal employment in Poland: an empirical spatial analysis," Spatial Economic Analysis, Taylor & Francis Journals, vol. 13(3), pages 338-355, July.
    2. Facundo Quiroga‐Martínez & Esteban Fernández‐Vázquez, 2021. "Education as a key to reduce spatial inequalities and informality in Argentinean regional labour markets," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 177-189, February.
    3. Gustavo A. García & Edgar Juli�n Mu�oz Gonz�lez & Stefany Gallego Ortiz, 2018. "Análisis Espacial de la Informalidad Laboral a Nivel Intra-urbano," Documentos de Trabajo de Valor Público 16499, Universidad EAFIT.
    4. Alessandro Arrighetti & Eleonora Bartoloni & Fabio Landini & Chiara Pollio, 2019. "Exuberant Proclivity Towards Non-Standard Employment:Evidence from Linked Employer-Employee Data," Working Papers 1905, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2019.
    5. Caterina Alacevich & Catia Nicodemo, 2024. "The Effect of Immigration on Occupational Injuries: Evidence from Administrative Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(2), pages 209-235, April.
    6. Dagmara Nikulin & Ewa Lechman, 2021. "Shadow Economy in Poland: Results of the Survey," SpringerBriefs in Economics, in: Shadow Economy in Poland, chapter 0, pages 49-65, Springer.
    7. Caro, Paolo Di & Sacchi, Agnese, 2020. "The heterogeneous effects of labor informality on VAT revenues: Evidence on a developed country," Journal of Macroeconomics, Elsevier, vol. 63(C).

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