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A model to estimate informal economy at regional level: Theoretical and empirical investigation

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  • Albu, Lucian-Liviu

Abstract

Many problems emerge since it is widely believed that high tax rates and ineffective tax collection by government are the main causes contributing to the rise of the informal economy. Already the economists have established a relationship between tax rates and tax evasion or size of the informal economy. The higher is the level of taxation, the greater incentive is to participate in informal economic activities and escape taxes. At the macroeconomic level, there is a number of so-called indirect methods used to estimate the size and dynamics of informal economy, reported in literature as “Monetary Approach”, “Implicit Labour Supply Method”, “National Accountancy”, “Energy Consumption Method”, etc. Unfortunately, many times there are huge differences among the estimated shares of informal or underground economy obtained by various methods. For instance, in case of Romania the figures are between about 20% of GDP, obtained on the base of the energy consumption method and more than 45% computed by using the monetary approach. Also, the figures reported by the National Institute for Statistics (NIS), based on national accounts methodology, increased (mainly due to changes in methodology) from about 5% in 1992, to 18% in 1997 and to 20-22% after 2000. Adding to these figures about 7% of GDP, representing the estimated level for self-consumption in case of a rural household, legal non-registered but informal, resulted that last years the informal economy is responsible of 27-29% of national economy. In this article, coming from certain general accepted finding of the theory in matter of modelling underground economy, we concentrate on evaluating analytically the limit-values of certain important parameters involved in models used to estimate the size of underground economy and to explain the mechanisms of its dynamics. Then we shall simulate some exercises on available data. The second goal of the paper is to report some conclusions of our investigation based on data supplied by special surveys organised in Romania. Also, in order to see since certain hypotheses (referring to the complex transmission mechanism from the tax policy decisions to the effective implication of agents into informal economy) are statistically verified and to extend the study from the aggregate level to a deep research inside the population set in regions, we used data supplied by this special large survey, which already were processed and are available in our database.

Suggested Citation

  • Albu, Lucian-Liviu, 2007. "A model to estimate informal economy at regional level: Theoretical and empirical investigation," MPRA Paper 3760, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:3760
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    References listed on IDEAS

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    1. Albu, Lucian Liviu & Kim, Byung Yeon, 2002. "Households' Activities In Informal Economy: Size And Behavioural Aspects (Ii)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 18-28, December.
    2. Clotfelter, Charles T, 1983. "Tax Evasion and Tax Rates: An Analysis of Individual Returns," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 363-373, August.
    3. Daniel Daianu & Lucian Albu, 1997. "Institutions, Strains and the Underground Economy," William Davidson Institute Working Papers Series 98, William Davidson Institute at the University of Michigan.
    4. Albu, Lucian Liviu, 2007. "Estimating the Size of Underground Economy in Romania," Working Papers of Institute for Economic Forecasting 070601, Institute for Economic Forecasting.
    5. Allingham, Michael G. & Sandmo, Agnar, 1972. "Income tax evasion: a theoretical analysis," Journal of Public Economics, Elsevier, vol. 1(3-4), pages 323-338, November.
    6. Arne Jon Isachsen & Steiner Strøm, 1985. "The Size And Growth Of The Hidden Economy In Norway," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 31(1), pages 21-38, March.
    7. Schneider, Friedrich, 2002. "The Size and Development of the Shadow Economies of 22 Transition and 21 OECD Countries," IZA Discussion Papers 514, Institute of Labor Economics (IZA).
    8. Albu, Lucian Liviu & Kim, Byung Yeon & Duchene, Gerard, 2002. "AN ATTEMPT TO ESTIMATE THE SIZE OF INFORMAL ECONOMY BASED ON HOUSEHOLD BEHAVIOUR MODELING (l)," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 17-24, March.
    9. Friedrich Schneider & Christopher Bajada, 2003. "The Size and Development of the Shadow Economies in the Asia-Pacific," Economics working papers 2003-01, Department of Economics, Johannes Kepler University Linz, Austria.
    10. Gibson, Bill & Kelley, Bruce, 1994. "A Classical Theory of the Informal Sector," The Manchester School of Economic & Social Studies, University of Manchester, vol. 62(1), pages 81-96, March.
    11. Lemieux, Thomas & Fortin, Bernard & Frechette, Pierre, 1994. "The Effect of Taxes on Labor Supply in the Underground Economy," American Economic Review, American Economic Association, vol. 84(1), pages 231-254, March.
    12. Pencavel, John H., 1979. "A note on income tax evasion, labor supply, and nonlinear tax schedules," Journal of Public Economics, Elsevier, vol. 12(1), pages 115-124, August.
    13. Albu, Lucian Liviu, 2007. "Underground Economy And Fiscal Policies Modeling," Working Papers of Institute for Economic Forecasting 071202, Institute for Economic Forecasting.
    14. Albu, Lucian-Liviu & Nicolae, Mariana, 2003. "Use of households survey data to estimate the size of the informal economy in Romania," MPRA Paper 14286, University Library of Munich, Germany.
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    Cited by:

    1. Albu, Lucian Liviu, 2008. "A Model To Estimate Spatial Distribution Of Informal Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 5(4), pages 111-124, December.
    2. Leibfritz, Willi, 2011. "Undeclared economic activity in central and eastern Europe -- how taxes contribute and how countries respond to the problem," Policy Research Working Paper Series 5923, The World Bank.
    3. Iancu, Aurel, 2007. "The Question of Economic Convergence - first part -," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 4(3), pages 5-18, September.
    4. Adriana AnaMaria Davidescu (Alexandru) & Ion Dobre, 2013. "The Impact of Unemployment Rate on the Size of Romanian Shadow Economy," Public Finance Review, , vol. 41(5), pages 578-607, September.
    5. Albu, Lucian-Liviu & Ghizdeanu, Ion & Iorgulescu, Raluca, 2011. "Analysing drivers of and barriers to the sustainable development: hidden economy and hidden migration," MPRA Paper 32810, University Library of Munich, Germany.

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    More about this item

    Keywords

    informal economy; invisible sector; tax rate; probability of detection; risk-aversion; computer assistance;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory

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