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Search frictions and labor market dynamics in a real business cycle model with undeclared work

Author

Listed:
  • Giuseppe Ciccarone

    (Sapienza University of Rome)

  • Francesco Giuli

    (Roma Tre University)

  • Enrico Marchetti

    (University of Naples Parthenope)

Abstract

We study the effects of undeclared work (UDW) on labor market dynamics in a real business cycle (RBC) model with search and matching frictions in the labor market. Distinction is made between the wages paid and the hours worked in regular and in undeclared types of activity. Calibrating the model on the US economy, we show that a greater size of UDW implies lower average employment, higher volatility of employment and lower volatility of regular wages. These volatilities are affected by the steady-state ratio between the minimum value of the regular wage that can be accepted by a worker and the maximum value that can be paid by a firm in the Nash bargaining process, which occurs when a labor match is realized. The greater the ratio, the higher the volatility of employment and the lower the volatility of wages. We demonstrate that, due to a social stigma attached to UDW, an increase in undeclared hours raises this ratio by reducing the numerator less than the denominator. This suggests that the introduction of UDW may improve the ability of RBC models to match the empirical volatilities of labor market variables.

Suggested Citation

  • Giuseppe Ciccarone & Francesco Giuli & Enrico Marchetti, 2016. "Search frictions and labor market dynamics in a real business cycle model with undeclared work," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 62(3), pages 409-442, August.
  • Handle: RePEc:spr:joecth:v:62:y:2016:i:3:d:10.1007_s00199-015-0903-x
    DOI: 10.1007/s00199-015-0903-x
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    Cited by:

    1. Shuaizhang Feng & Lars Lefgren & Brennan C. Platt & Bingyong Zheng, 2019. "Job search under asymmetric information: endogenous wage dispersion and unemployment stigma," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 67(4), pages 817-851, June.
    2. Marshall, Emily C. & Saunoris, James & Solis-Garcia, Mario & Do, Trang, 2023. "Measuring the size and dynamics of U.S. state-level shadow economies using a dynamic general equilibrium model with trends," Journal of Macroeconomics, Elsevier, vol. 75(C).
    3. Solis-Garcia, Mario & Xie, Yingtong, 2017. "Is GDP more volatile in developing countries after taking the shadow economy into account? Evidence from Latin America," MPRA Paper 78965, University Library of Munich, Germany.
    4. Arbex Marcelo & Corrêa Márcio V. & Magalhães Marcos R. V., 2023. "Tolerance of Informality and Occupational Choices in a Large Informal Sector Economy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 23(1), pages 241-278, January.

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    More about this item

    Keywords

    Undeclared work; Tax evasion; Search and matching; Real business cycle;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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