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Measuring the model uncertainty of shadow economy estimates

Author

Listed:
  • Piotr Dybka

    (SGH Warsaw School of Economics)

  • Bartosz Olesiński

    (SGH Warsaw School of Economics)

  • Marek Rozkrut

    (EY Economic Analysis Team)

  • Andrzej Torój

    (SGH Warsaw School of Economics)

Abstract

We derive the measurement error of the shadow economy estimates stemming from the currency demand model uncertainty. The choice of regressors can have a material and highly country-specific impact on the estimated level of the shadow economy. In consequence, one cannot attribute the same level of uncertainty to every country across the panel. Our extension of the Currency Demand Analysis, based on the frequentist and Bayesian model averaging procedures, makes the shadow economy measurements less arbitrary and more suitable for the evaluation of economic policies. We use our results to demonstrate the average shadow economy estimates as of 2014 for 64 countries, along with the confidence intervals.

Suggested Citation

  • Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
  • Handle: RePEc:kap:itaxpf:v:30:y:2023:i:4:d:10.1007_s10797-022-09737-x
    DOI: 10.1007/s10797-022-09737-x
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    1. Schneider, Friedrich, 2005. "Shadow economies around the world: what do we really know?," European Journal of Political Economy, Elsevier, vol. 21(3), pages 598-642, September.
    2. Giles, David E A, 1999. "Measuring the Hidden Economy: Implications for Econometric Modelling," Economic Journal, Royal Economic Society, vol. 109(456), pages 370-380, June.
    3. Leandro Medina & Mr. Friedrich Schneider, 2018. "Shadow Economies Around the World: What Did We Learn Over the Last 20 Years?," IMF Working Papers 2018/017, International Monetary Fund.
    4. Phillip Cagan, 1958. "The Demand for Currency Relative to the Total Money Supply," Journal of Political Economy, University of Chicago Press, vol. 66, pages 303-303.
    5. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    6. Montero-Manso, Pablo & Athanasopoulos, George & Hyndman, Rob J. & Talagala, Thiyanga S., 2020. "FFORMA: Feature-based forecast model averaging," International Journal of Forecasting, Elsevier, vol. 36(1), pages 86-92.
    7. Hassan, Mai & Schneider, Friedrich, 2016. "Size and Development of the Shadow Economies of 157 Countries Worldwide: Updated and New Measures from 1999 to 2013," IZA Discussion Papers 10281, Institute of Labor Economics (IZA).
    8. Piotr Dybka & Michał Kowalczuk & Bartosz Olesiński & Andrzej Torój & Marek Rozkrut, 2019. "Currency demand and MIMIC models: towards a structured hybrid method of measuring the shadow economy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 4-40, February.
    9. Ca’ Zorzi, Michele & Chudik, Alexander & Dieppe, Alistair, 2012. "Thousands of models, one story: Current account imbalances in the global economy," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1319-1338.
    10. Schneider, Friedrich G., 2007. "Shadow Economies and Corruption All Over the World: New Estimates for 145 Countries," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-66.
    11. Theo S. Eicher & Chris Papageorgiou & Adrian E. Raftery, 2011. "Default priors and predictive performance in Bayesian model averaging, with application to growth determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 30-55, January/F.
    12. Friedrich Schneider, 2016. "Comment on Feige's Paper "Reflections on the Meaning and Measurement of Unobserved Economies: What do we really know about the 'Shadow Economy'?"," CESifo Working Paper Series 5818, CESifo.
    13. Friedrich Schneider & Friedrich Schneider, 2008. "Shadow Economies and Corruption all over the World: What do we Really Know?," Chapters, in: Michael Pickhardt & Edward Shinnick (ed.), The Shadow Economy, Corruption and Governance, chapter 7, pages 122-187, Edward Elgar Publishing.
    14. Moral-Benito, Enrique & Roehn, Oliver, 2016. "The impact of financial regulation on current account balances," European Economic Review, Elsevier, vol. 81(C), pages 148-166.
    15. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
    16. Friedrich Schneider, 2005. "Shadow Economies of 145 Countries all over the World: What Do We Really Know?," CREMA Working Paper Series 2005-13, Center for Research in Economics, Management and the Arts (CREMA).
    17. Shahram M. Amini & Christopher F. Parmeter, 2012. "Comparison Of Model Averaging Techniques: Assessing Growth Determinants," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 870-876, August.
    18. Dell’Anno, Roberto & Davidescu, Adriana AnaMaria, 2019. "Estimating shadow economy and tax evasion in Romania. A comparison by different estimation approaches," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 130-149.
    19. Friedrich Schneider & Andreas Buehn & Claudio Montenegro, 2010. "New Estimates for the Shadow Economies all over the World," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 443-461.
    20. Friedrich Schneider & Andreas Buehn & Claudio E. Montenegro, 2011. "Shadow Economies All Over the World: New Estimates for 162 Countries from 1999 to 2007," Chapters, in: Friedrich Schneider (ed.), Handbook on the Shadow Economy, chapter 1, Edward Elgar Publishing.
    21. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    22. Edgar L. Feige, 1979. "How Big Is the Irregular Economy?," Challenge, Taylor & Francis Journals, vol. 22(5), pages 5-13, November.
    23. Ceyhun Elgin & Oguz Oztunali, 2012. "Shadow Economies around the World: Model Based Estimates," Working Papers 2012/05, Bogazici University, Department of Economics.
    24. Embaye, Abel, 2007. "Underground economy estimates for non-OECD countries using currency demand method, 1984-2005," MPRA Paper 20308, University Library of Munich, Germany.
    25. Putniņš, Tālis J. & Sauka, Arnis, 2015. "Measuring the shadow economy using company managers," Journal of Comparative Economics, Elsevier, vol. 43(2), pages 471-490.
    26. Ann-Sofie Kolm & Birthe Larsen, 2019. "Underground activities and labour market performance," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(1), pages 41-70, February.
    27. Bork, Lasse & Møller, Stig V., 2015. "Forecasting house prices in the 50 states using Dynamic Model Averaging and Dynamic Model Selection," International Journal of Forecasting, Elsevier, vol. 31(1), pages 63-78.
    28. Marmora, Paul, 2021. "Currency substitution in the shadow economy: International panel evidence using local Bitcoin trade volume," Economics Letters, Elsevier, vol. 205(C).
    29. Mazhar, Ummad & Méon, Pierre-Guillaume, 2017. "Taxing the unobservable: The impact of the shadow economy on inflation and taxation," World Development, Elsevier, vol. 90(C), pages 89-103.
    30. Tālis J. Putniņš & Arnis Sauka, 2011. "Size and determinants of shadow economies in the Baltic States," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(2), pages 5-25, December.
    31. Bierut, Beata K. & Dybka, Piotr, 2021. "Increase versus transformation of exports through technological and institutional innovation: Evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 99(C).
    32. Piotr Dybka & Michal Rubaszek, 2017. "What Determines the Current Account: Intratemporal versus Intertemporal Factors," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(1), pages 2-14, March.
    33. Guerino Ardizzi & Carmelo Petraglia & Massimiliano Piacenza & Gilberto Turati, 2014. "Measuring the Underground Economy with the Currency Demand Approach: A Reinterpretation of the Methodology, With an Application to Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 747-772, December.
    34. Misbah Kiani & Adeel Ahmed & Khalid Zaman, 2015. "Combining qualitative and quantitative approaches for measuring underground economy of Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 295-317, January.
    35. Ahumada, Hildegart & Alvaredo, Facundo & Canavese, Alfredo, 2008. "The monetary method to measure the shadow economy: The forgotten problem of the initial conditions," Economics Letters, Elsevier, vol. 101(2), pages 97-99, November.
    36. Piotr Dybka, 2020. "One model or many? Exchange rates determinants and their predictive capabilities," KAE Working Papers 2020-053, Warsaw School of Economics, Collegium of Economic Analysis.
    37. Chletsos, Michael & Sintos, Andreas, 2021. "Hide and seek: IMF intervention and the shadow economy," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 292-319.
    38. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    39. Chaudhuri, Kausik & Schneider, Friedrich & Chattopadhyay, Sumana, 2006. "The size and development of the shadow economy: An empirical investigation from states of India," Journal of Development Economics, Elsevier, vol. 80(2), pages 428-443, August.
    40. Wang, Yudong & Ma, Feng & Wei, Yu & Wu, Chongfeng, 2016. "Forecasting realized volatility in a changing world: A dynamic model averaging approach," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 136-149.
    41. Ihrig, Jane & Moe, Karine S., 2004. "Lurking in the shadows: the informal sector and government policy," Journal of Development Economics, Elsevier, vol. 73(2), pages 541-557, April.
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    More about this item

    Keywords

    Shadow economy; Currency demand approach; Measurement error; Confidence intervals;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements

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