IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp10067.html
   My bibliography  Save this paper

On the Boundaries of the Shadow Economy: An Empirical Investigation

Author

Listed:
  • Manes, Eran

    (Jerusalem College of Technology (JTC))

  • Schneider, Friedrich

    () (University of Linz)

  • Tchetchik, Anat

    () (Ben Gurion University)

Abstract

A large number of empirical studies pointed to the ongoing expansion of the shadow economy in many countries around the globe. A robust finding in these studies is the positive association between unemployment rates and the size of the unofficial sector. However, with consistent estimates of the size of the unofficial sector only available from the late 1980s, a lack of sufficient time span dictated the use of static models, allowing only a limited understanding of its temporal behavior and interdependence with other covariates. In this paper, we offer a first systematic attempt to estimate the dynamics of the shadow economy, using advanced dynamic panel techniques. Based on insights from a simple job search model of unemployment that features decreasing returns to unofficial activities and congestion effects in job searching, we conjecture a long-run equilibrium relationship between unemployment and the size of the shadow economy. Our empirical model lends strong support to this view. We find that in countries with less stringent job market regulation the long-run impact of Unemployment, the tax burden, and GDP on the shadow economy, while positive and significant, is much smaller than in heavily regulated countries Moreover, the speed of adjustment back to long-run equilibrium following temporary shocks is shown to be three times faster in countries with looser job-market regulation, compared with countries with stricter regulation. These findings have important policy implications.

Suggested Citation

  • Manes, Eran & Schneider, Friedrich & Tchetchik, Anat, 2016. "On the Boundaries of the Shadow Economy: An Empirical Investigation," IZA Discussion Papers 10067, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp10067
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp10067.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Phillips, Peter C B & Xiao, Zhijie, 1998. " A Primer on Unit Root Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 423-469, December.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. Carmen Pagés-Serra, 2000. "The Cost of Job Security Regulation: Evidence from Latin American Labor Markets," ECONOMIA JOURNAL, THE LATIN AMERICAN AND CARIBBEAN ECONOMIC ASSOCIATION - LACEA, vol. 0(Fall 2000), pages 109-154, August.
    4. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    5. Russell Cooper & Andrew John, 1988. "Coordinating Coordination Failures in Keynesian Models," The Quarterly Journal of Economics, Oxford University Press, vol. 103(3), pages 441-463.
    6. Axel Dreher & Friedrich Schneider, 2010. "Corruption and the shadow economy: an empirical analysis," Public Choice, Springer, vol. 144(1), pages 215-238, July.
    7. Perron, Pierre, 1988. "Trends and random walks in macroeconomic time series : Further evidence from a new approach," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 297-332.
    8. Christopher F Baum, 2005. "Stata: The language of choice for time-series analysis?," Stata Journal, StataCorp LP, vol. 5(1), pages 46-63, March.
    9. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    10. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    11. Torgler, Benno & Schneider, Friedrich, 2009. "The impact of tax morale and institutional quality on the shadow economy," Journal of Economic Psychology, Elsevier, vol. 30(2), pages 228-245, April.
    12. Carmen Pagés-Serra & James J. Heckman, 2000. "The Cost of Job Security Regulation: Evidence from Latin American Labor Markets," Research Department Publications 4227, Inter-American Development Bank, Research Department.
    13. Hatanaka, Michio, 1996. "Time-Series-Based Econometrics: Unit Roots and Co-integrations," OUP Catalogue, Oxford University Press, number 9780198773535.
    14. Robertson, D & Symons, J, 1992. "Some Strange Properties of Panel Data Estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 175-189, April-Jun.
    15. Subrata Ghatak & Jalal Siddiki, 2001. "The use of the ARDL approach in estimating virtual exchange rates in India," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(5), pages 573-583.
    16. Andreas Buehn & Christian Lessmann & Gunther Markwardt, 2013. "Decentralization and the shadow economy: Oates meets Allingham--Sandmo," Applied Economics, Taylor & Francis Journals, vol. 45(18), pages 2567-2578, June.
    17. Tsangyao Chang & Kuei-Chiu Lee & Chien-Chung Nieh & Ching-Chun Wei, 2005. "An empirical note on testing hysteresis in unemployment for ten European countries: panel SURADF approach," Applied Economics Letters, Taylor & Francis Journals, vol. 12(14), pages 881-886.
    18. Song, Frank M & Wu, Yangru, 1997. "Hysteresis in Unemployment: Evidence from 48 U.S. States," Economic Inquiry, Western Economic Association International, vol. 35(2), pages 235-243, April.
    19. Dominik Enste, 2010. "Regulation and shadow economy: empirical evidence for 25 OECD-countries," Constitutional Political Economy, Springer, vol. 21(3), pages 231-248, September.
    20. Panicos Demetriades & Siong Hook Law, 2006. "Finance, institutions and economic development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(3), pages 245-260.
    21. Edward F. Blackburne III & Mark W. Frank, 2007. "Estimation of nonstationary heterogeneous panels," Stata Journal, StataCorp LP, vol. 7(2), pages 197-208, June.
    22. Schneider, Friedrich & Buehn, Andreas, 2012. "Shadow Economies in Highly Developed OECD Countries: What Are the Driving Forces?," IZA Discussion Papers 6891, Institute for the Study of Labor (IZA).
    23. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    24. Shlomo Yitzhaki, 1987. "On the Excess Burden of Tax Evasion," Public Finance Review, , vol. 15(2), pages 123-137, April.
    25. Camarero, Mariam & Tamarit, Cecilio, 2004. "Hysteresis vs. natural rate of unemployment: new evidence for OECD countries," Economics Letters, Elsevier, vol. 84(3), pages 413-417, September.
    26. Dimitris K. Christopoulos & Miguel A. León-Ledesma, 2007. "Unemployment hysteresis in EU countries: what do we really know about it?," Journal of Economic Studies, Emerald Group Publishing, vol. 34(2), pages 80-89, May.
    27. Banerjee, Anindya, 1999. " Panel Data Unit Roots and Cointegration: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 607-629, Special I.
    28. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    29. Song, Frank M. & Wu, Yangru, 1998. "Hysteresis in unemployment: Evidence from OECD countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 38(2), pages 181-192.
    30. Roberto Dell'Anno & Offiong Helen Solomon, 2008. "Shadow economy and unemployment rate in USA: is there a structural relationship? An empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 40(19), pages 2537-2555.
    31. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    32. repec:taf:applec:45:y:2013:i:18:p:2567-2578 is not listed on IDEAS
    33. Christopher Bajada & Friedrich Schneider, 2009. "Unemployment and the Shadow Economy in the oecd," Revue économique, Presses de Sciences-Po, vol. 60(5), pages 1033-1067.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:iez:survey:ces-v19_2-2017_skrinjaric-recher-budak is not listed on IDEAS
    2. Wim Naudé, 2017. "Cities and Entrepreneurs over Time: Like a Horse and Carriage?," Working Papers id:12321, eSocialSciences.

    More about this item

    Keywords

    shadow economy; boundaries to the shadow economy; unemployment; taxation; regulation;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • I2 - Health, Education, and Welfare - - Education
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • P16 - Economic Systems - - Capitalist Systems - - - Political Economy of Capitalism
    • P48 - Economic Systems - - Other Economic Systems - - - Political Economy; Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp10067. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.