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Informal Employment In Poland: An Empirical Spatial Analysis

Author

Listed:
  • Dagmara Nikulin

    (Gdansk University of Technology, Gdansk, Poland)

  • Maciej Berêsewicz

    (Poznañ University of Economics and Business, Centre for Small Area Estimation, Statistical Office in Poznañ, Poznan, Poland)

Abstract

The main goal of our article is to bridge the gap in the regional analysis of informal employment in Poland and in particular to indicate the propensity for informal work in the working age population, to test if informal activities are typical for marginalized people (less educated, unemployed, older) and to identify the regional and spatial heterogeneity in the propensity. We use data from the ‘Human Capital Balance 2010-2014’ survey. Results indicate a strong relationship between the probability of informal work and age, sex and labour force status. Moreover, a strong spatial dependency can be observed.

Suggested Citation

  • Dagmara Nikulin & Maciej Berêsewicz, 2018. "Informal Employment In Poland: An Empirical Spatial Analysis," GUT FME Working Paper Series A 47, Faculty of Management and Economics, Gdansk University of Technology.
    • Handle: RePEc:gdk:wpaper:47
    as

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    File URL: https://cdn.files.pg.edu.pl/zie/Strona%20polska/Nauka/Publikacje/Working%20Papers/WP_GUTFME_A_47.pdf
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    References listed on IDEAS

    as
    1. D. Pfeffermann & C. J. Skinner & D. J. Holmes & H. Goldstein & J. Rasbash, 1998. "Weighting for unequal selection probabilities in multilevel models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(1), pages 23-40.
    2. Pfeffermann, Danny & Sverchkov, Michail, 2007. "Small-Area Estimation Under Informative Probability Sampling of Areas and Within the Selected Areas," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1427-1439, December.
    3. Kowarik, Alexander & Templ, Matthias, 2016. "Imputation with the R Package VIM," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i07).
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jacek Liwiński, 2022. "Informal employment and wages in Poland," International Journal of Manpower, Emerald Group Publishing Limited, vol. 44(6), pages 1196-1220, January.
    2. Abiodun O. Folawewo & Olusegun A. Orija, 2020. "Informal-formal workers' transition in Nigeria: A livelihood analysis," WIDER Working Paper Series wp-2020-146, World Institute for Development Economic Research (UNU-WIDER).
    3. Lukasz Arendt & Wojciech Grabowski & Iwona Kukulak-Dolata, 2020. "County-Level Patterns of Undeclared Work: An Empirical Analysis of a Highly Diversified Region in the European Union," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 271-295, May.
    4. Diego Ravenda & Maika M. Valencia-Silva & Josep M. Argiles-Bosch & Josep García-Blandón, 2021. "The Effects of Immigration on Labour Tax Avoidance: An Empirical Spatial Analysis," Journal of Business Ethics, Springer, vol. 170(3), pages 471-496, May.

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    More about this item

    Keywords

    Informal employment propensity; unregistered work; shadow economy; spatial Bayesian analysis; INLA;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J46 - Labor and Demographic Economics - - Particular Labor Markets - - - Informal Labor Market
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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