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CGE model with fiscal sector for Latvia

Author

Listed:
  • Konstantins Benkovskis

    (Bank of Latvia)

  • Eduards Goluzins
  • Olegs Tkacevs

    (Bank of Latvia)

Abstract
This paper describes the first CGE model for Latvia that consists of 32 industries, 55 products and seven categories of final users. To construct the model we use Latvia's National Supply and Use tables for 2011 from the WIOD database. Special attention is devoted to the fiscal block: the model consists of five government expenditure types and five revenue sources, including such four major taxes as the personal income tax (PIT), state social insurance mandatory contributions (SSIMC), value added tax (VAT) and excise tax. We also introduce an endogenous shadow economy, the size of which depends on the level of tax rates and economic activity. These features of the model allow us to obtain rich and detailed conclusions about the effect of several fiscal measures on Latvia's economy, both in aggregate and by sector.

Suggested Citation

  • Konstantins Benkovskis & Eduards Goluzins & Olegs Tkacevs, 2016. "CGE model with fiscal sector for Latvia," Working Papers 2016/01, Latvijas Banka.
  • Handle: RePEc:ltv:wpaper:201601
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    References listed on IDEAS

    as
    1. Ludmila Fadejeva & Olegs Krasnopjorovs, 2015. "Labour market adjustment during 2008-2013 in Latvia: firm level evidence," Working Papers 2015/02, Latvijas Banka.
    2. Zodrow, George R. & Diamond, John W., 2013. "Dynamic Overlapping Generations Computable General Equilibrium Models and the Analysis of Tax Policy: The Diamond–Zodrow Model," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 743-813, Elsevier.
    3. James Giesecke & Nhi Hoang Tran, 2012. "A general framework for measuring VAT compliance rates," Applied Economics, Taylor & Francis Journals, vol. 44(15), pages 1867-1889, May.
    4. Fernando Martins & M. Druant, 2009. "How are Firms’ Wages and Prices Linked: Survey Evidence in Europe," Working Papers w200918, Banco de Portugal, Economics and Research Department.
    5. Ginters Buss, 2016. "Financial frictions in Latvia," Empirical Economics, Springer, vol. 51(2), pages 547-575, September.
    6. Holmøy, Erling & Strøm, Birger, 2013. "Computable General Equilibrium Assessments of Fiscal Sustainability in Norway," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 105-158, Elsevier.
    7. Marcel Timmer & Abdul A. Erumban & Reitze Gouma & Bart Los & Umed Temurshoev & Gaaitzen J. de Vries & I–aki Arto & Valeria Andreoni AurŽlien Genty & Frederik Neuwahl & JosŽ M. Rueda?Cantuche & Joseph , 2012. "The World Input-Output Database (WIOD): Contents, Sources and Methods," IIDE Discussion Papers 20120401, Institue for International and Development Economics.
    8. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    9. Giesecke, James A. & Nhi, Tran Hoang, 2010. "Modelling value-added tax in the presence of multi-production and differentiated exemptions," Journal of Asian Economics, Elsevier, vol. 21(2), pages 156-173, April.
    10. 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.
    11. Peter B. Dixon & Maureen T. Rimmer, 2009. "Forecasting with a CGE model: does it work?," Centre of Policy Studies/IMPACT Centre Working Papers g-197, Victoria University, Centre of Policy Studies/IMPACT Centre.
    12. Dixon, Peter B. & Koopman, Robert B. & Rimmer, Maureen T., 2013. "The MONASH Style of Computable General Equilibrium Modeling: A Framework for Practical Policy Analysis," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 23-103, Elsevier.
    13. Putniņš, Tālis J. & Sauka, Arnis, 2015. "Measuring the shadow economy using company managers," Journal of Comparative Economics, Elsevier, vol. 43(2), pages 471-490.
    14. Maciej Bukowski & Pawel Kowal, 2010. "Large scale, multi-sector DSGE model as a climate policy assessment tool - Macroeconomic Mitigation Options (MEMO) model for Poland," IBS Working Papers 3/2010, Instytut Badan Strukturalnych.
    15. Mark Horridge, 2000. "ORANI-G: A General Equilibrium Model of the Australian Economy," Centre of Policy Studies/IMPACT Centre Working Papers op-93, Victoria University, Centre of Policy Studies/IMPACT Centre.
    16. M. Reza Gharibnavaz & Robert Waschik, 2015. "A Computable General Equilibrium Model of International Sanctions," Centre of Policy Studies/IMPACT Centre Working Papers g-255, Victoria University, Centre of Policy Studies/IMPACT Centre.
    17. Konstantins Benkovskis, 2015. "Misallocation of Resources in Latvia: Did Anything Change During the Crisis?," Working Papers 2015/05, Latvijas Banka.
    18. Boeters, Stefan & Savard, Luc, 2013. "The Labor Market in Computable General Equilibrium Models," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1645-1718, Elsevier.
    19. Olegs Krasnopjorovs, 2015. "Natural and Cyclical Unemployment in Latvia: New Insights from the Beveridge Curve Model," Discussion Papers 2015/02, Latvijas Banka.
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    Citations

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    Cited by:

    1. Konstantins Benkovskis & Olegs Matvejevs, 2023. "The New Version of Latvian CGE Model," Working Papers 2023/02, Latvijas Banka.
    2. Konstantins Benkovskis & Ludmila Fadejeva & Anna Pluta & Anna Zasova, 2023. "Keeping the best of two worlds: Linking CGE and microsimulation models for policy analysis," Working Papers 2023/01, Latvijas Banka.
    3. Konstantins Benkovskis & Dzintars Jaunzems & Olegs Matvejevs, 2023. "A Purpose-Based Energy Substitution Structure For CGE," Working Papers 2023/07, Latvijas Banka.

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    More about this item

    Keywords

    CGE model; Latvia; fiscal policy;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H6 - Public Economics - - National Budget, Deficit, and Debt

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