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Barzegari M, Harati A, Behboudi R, Hajmohamadi F, Babaee N. size of the underground economy and tax evasion in Iran: DGE, CDA and MIMIC approach. J Tax Res 2024; https://doi.org/10.61186/taxjournal.0.93
URL: http://taxjournal.ir/article-1-2369-en.html
URL: http://taxjournal.ir/article-1-2369-en.html
1- , mba9090@iran.ir
Abstract: (268 Views)
In this research, the driving forces of tax evasion in Iran have been compared using time series data from 1357 to 1400 from three different methods. One of these methods is the multiple-indicators-multiple-causes MIMIC approach based on structural equation model estimation. Another model is based on Tanzi's CDA and vector error correction model (VECM). The last one is based on a dynamic general equilibrium (DGE). Based on the calculation results, the driving forces of tax evasion obtained using the MIMIC show that the ratio of tax evasion to tax collection is 29% on average during the period under review. Also, according to the Tanzi's money demand model, the ratio of tax evasion to tax collection is 36% on average during the period under review. Based on the DGE, the ratio of tax evasion to tax collection is 34%. These findings emphasize the pressing need for comprehensive measures to address tax evasion and its detrimental impact on the economy. Without a clear understanding of the underground economy and accurate assessments of tax evasion, effective corrective measures and appropriate strategies cannot be implemented. Therefore, it is imperative for policymakers to utilize such estimations and findings to develop targeted interventions and policies aimed at curbing tax evasion and reinforcing tax structures in Iran. We find that the structural validity of the MIMIC for measuring trends in the shadow economy is nearly similar to the DGE and CDA. This similarity removes the skepticism that some previous literature had towards these methods.
Type of Study: Research |
Subject:
Management
Received: 2024/05/1 | Accepted: 2024/02/29 | Published: 2024/02/29
Received: 2024/05/1 | Accepted: 2024/02/29 | Published: 2024/02/29
References
1. Abdollahmilani M, Akbarpourroshan N. (2012) Tax Evasion from the Underground Economy in Iran. J Tax Res, 20 (13) :141-168. (in Persian)
2. Abounoori, E., & Nikpour, A. (2014). The Effect of Tax Burden Indicators on the Size of the Hidden Economy in Iran. Economic Growth and Development Research, 5(17), 90-75. (in Persian)
3. Cagan, P. (1958). The Demand for Currency Relative to the Total Money Supply. Journal of Political Economy, 66(4), 302-328. [DOI:10.1086/258056]
4. Dell'Anno, R., Davidescu, Adriana A, )2019(. "Estimating shadow economy and tax evasion in Romania. A comparison by different estimation approaches," Economic Analysis and Policy, 63(C), 130-149. [DOI:10.1016/j.eap.2019.05.002]
5. Elgin, C., Ohnsorge, F., and Yu, S. (2021(. "Understanding the Informal Economy: Concepts and Trends." In The Long Shadow of Informality: Challenges and Policies, World Bank. [DOI:10.1596/978-1-4648-1753-3_ch2]
6. Elgin, C., Ohnsorge, F., and Yu, S. (2021). Growing Apart or Moving Together? Synchronization of Informal and Formal Economy Cycles. MPRA_paper_109492. [DOI:10.2139/ssrn.3916628]
7. Elgin, C., Schneider, F. (2016). Shadow Economies in OECD Countries: DGE vs. MIMIC Approaches. Boğaziçi Journal Review of Social, Economic and Administrative Studies, 30, 1, pp. 51-75. [DOI:10.21773/boun.30.1.3]
8. Izadi A, Sameti M, Akbari N. Estimation of Tax Evasion in Iran Using MIMIC Method (1976-2016). J Tax Res; 28 (48) :7-32. (in Persian)
9. Jalali-naini, A., Tavakolian, H., Zamanzadeh, H., & Davoudi, P. (2019). Endogenous Firm Entry and Exit in a DSGE Model for Iran Economy. Journal of Applied Economics Studies in Iran, 8(29), 1-39. (in Persian)
10. Karbor, R., Karimi Takanlou, Z., & Rostamzadeh, P. (2019). Estimation of Underground Economy in Iran's Provinces and Effective Factors. Quarterly Journal of Applied Theories of Economics, 6(2), 161-188. (in Persian)
11. Khan, Y.A. (2022) Investigating and estimating the size of Shadow Economy by using monetary approach: Case study of Malaysia.Front. Manag. Bus. 3, 219-226. [DOI:10.25082/FMB.2022.02.003]
12. Koloane,C. & Bodhlyera,O.(2022). A statistical approach to modeling the underground economy in South Africa. Journal of Economics and Management,44(1) 64-95. [DOI:10.22367/jem.2022.44.04]
13. Maddah, M., & Farahati, M. (2019). The Empirical Analysis of the Direct Effect of Unemployment on the Shadow Economy in Iran (Money Demand Approach). Journal of Economic Research (Tahghighat- E- Eghtesadi), 54(2), 419-441. (in Persian)
14. Nikola Radivojevi , Milena Cvjetkovi ,Saša Stepanov. (2016). The new hybrid value at risk approach based on the extreme value theory, Estudios the Economia.43, 29-52. [DOI:10.4067/S0718-52862016000100002]
15. Omidipour R, Pajoyan J, Mohammadi T, Memarnwjad, A. (2016). Estimating the size of underground economy and tax evation: Experimental analysis in. J Tax Res 2016; 23 (28):69-94. (in Persian)
16. Patton, A.J., Ziegel, J.F., Chen, R. (2018). Dynamic semiparametric models for expected shortfall (and Value-at-Risk). J. Econom. 211 (2), 388-413 [DOI:10.1016/j.jeconom.2018.10.008]
17. Petranov, S., Zlatinov, D., Atanasov, I. (2022). The shadow economy in Bulgaria during the period 2006-2019. Econ. Stud. J. 5, 3-18.
18. Piraee, K., & Rajaee, H. (2015). Estimate Size of Underground Economy in Iran and Investigation Causes and Effects. Quarterly Journal of The Macro and Strategic Policies, 3(9), 21-42. (in Persian) [DOI:10.11648/j.ijebo.20150302.12]
19. Samadi A, Tabande R. Tax Evasion in Iran: its Causes, Effects and Estimation. J Tax Res 2013; 21 (19) :77-106
20. Shahhoseini, S., & Bahrami, J. (2016). Assessment of Macroeconomic Fluctuations and Monetary Transmission Channel in Iran; Dynamic Stochastic General Equilibrium Approach. Economics Research, 16(60), 1-49. (in Persian)
21. Sharifi, S. M. R., haghighat, A., Ebrahimi, M., & aminifard, A. (2022). Investigating the Effect of Financial Development and Tax on the Underground Economy; Evidence from Iran's Economy. Economic Growth and Development Research, 12(46), 88-67. (in Persian)
22. Taghineghad, V., Nikpoor, M. (2014). Underground Economy and its causes: a Case Study of Iran. Journal of Applied Economics Studies in Iran, 2014; 2(8): 53-72. (in Persian)
23. Tavakolian, H. (2012). A New Keynesian Phillips Curve in a DSGE Model for Iran. Journal of Economic Research (Tahghighat- E- Eghtesadi), 47(3), 1-22. (in Persian)
24. Zarra nezhad, M., Tabae Izadi, A., & Hosseinpour, F. (2014). 24-24- Measurement and Analysis of Oil Revenues Effect on Tax Revenues in Iran. Iranian Journal of Trade Studies, 18(72), 111-137. (in Persian)
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