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Estimating shadow economy and tax evasion in Romania. A comparison by different estimation approaches

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  • Dell’Anno, Roberto
  • Davidescu, Adriana AnaMaria

Abstract

The paper aims to estimate the size of shadow economy (SE) and tax evasion (TE) in Romania for the period 2000–2017. We apply different approaches – Multiple Indicator Multiple Cause (MIMIC) model for the estimation of the size of the SE and the currency demand approach for the estimation of TE – in order to lay emphasis on peculiarities of these two phenomena.

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  • 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.
    • Handle: RePEc:eee:ecanpo:v:63:y:2019:i:c:p:130-149
    DOI: 10.1016/j.eap.2019.05.002
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    References listed on IDEAS

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    Cited by:

    1. Patrizia Gazzola & Audrey Paterson & Stefano Amelio & Daniele Grechi & Stefano Cristina, 2023. "The role of individual social responsibility and corporate social responsibility in the tax fraud war: A comparison between the priorities of Italian and Romanian consumers," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2265-2277, September.
    2. Emmanuel U. Haruna, 2023. "The multidimensional effect of financial development on the shadow economy in Africa: A dynamic panel analysis approach," International Economics and Economic Policy, Springer, vol. 20(2), pages 327-365, May.
    3. Angela TIMUS & Alexandru CEBAN, 2020. "Highlights, Concepts And Methods In Addressing The Shadow Economy: Theoretical Approach And Some Countries’ Experience," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 5(3), pages 66-82.
    4. 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.
    5. Jasna Atanasijević & Marko Danon & Zorana Lužanin & Dušan Kovačević, 2022. "Shadow Economy Estimation Using Cash Demand Approach: The Case of Serbia," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    6. Gamal, Awadh Ahmed Mohammed & Rambeli, Norimah & Abdul Jalil, Norasibah & Kuperan Viswanathan, K., 2019. "A modified Currency Demand Function and the Malaysian shadow economy: Evidence from ARDL bounds testing approach," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 266-281.
    7. Alvarado, Rafael & Tillaguango, Brayan & López-Sánchez, Michelle & Ponce, Pablo & Işık, Cem, 2021. "Heterogeneous impact of natural resources on income inequality: The role of the shadow economy and human capital index," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 690-704.
    8. Canh Phuc Nguyen & Binh Nguyen Quang & Thanh Dinh Su, 2023. "Institutional frameworks and the shadow economy: new evidence of colonial history, socialist history, religion, and legal systems," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 647-675, September.
    9. Nguyen, Canh Phuc, 2022. "Does economic complexity matter for the shadow economy?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 210-227.
    10. Mangirdas Morkunas, 2022. "Measuring the Level of the Youth Informal Economy in Lithuania in 2004–2020," Economies, MDPI, vol. 10(11), pages 1-13, November.
    11. Roberto Dell'Anno, 2022. "Theories and definitions of the informal economy: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1610-1643, December.
    12. Vanina Adoriana Trifan & Silviu Gabriel Szentesi & Lavinia Denisia Cuc & Mioara Florina Pantea, 2023. "Assessing Tax Compliance Behavior Among Romanian Taxpayers: An Empirical Case Study," SAGE Open, , vol. 13(3), pages 21582440231, September.
    13. Canh, Nguyen Phuc & Thanh, Su Dinh, 2020. "Financial development and the shadow economy: A multi-dimensional analysis," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 37-54.
    14. Narciz Balasoiu & Iulian Chifu & Marian Oancea, 2023. "Impact of Direct Taxation on Economic Growth: Empirical Evidence Based on Panel Data Regression Analysis at the Level of Eu Countries," Sustainability, MDPI, vol. 15(9), pages 1-32, April.
    15. Dagmara Nikulin & Ewa Lechman, 2021. "Shadow Economy in Poland: Results of the Survey," SpringerBriefs in Economics, in: Shadow Economy in Poland, chapter 0, pages 49-65, Springer.
    16. Roberto Dell’Anno, 2023. "Measuring the unobservable: estimating informal economy by a structural equation modeling approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(1), pages 247-277, February.

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    More about this item

    Keywords

    Shadow economy; Tax evasion; MIMIC model; Currency demand approach; Romania;
    All these keywords.

    JEL classification:

    • H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
    • E26 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Informal Economy; Underground Economy
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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