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A Comparative Analysis of the Calibrated DSGE Model and SSA Method Results on the Latvian Economy

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  • Sergejs Hilkevics

    (Faculty of Economics and Management, Ventspils University of Applied Sciences, LV-3601 Ventspils, Latvia)

  • Valentina Semakina

    (Faculty of Economics and Management, Ventspils University of Applied Sciences, LV-3601 Ventspils, Latvia)

Abstract

This article examines the theoretical foundations of economic forecasting based on DSGE models. DSGE models are the main direction of contemporary macroeconomics theory—the inclusion of the stochastic processes and expectations of economic agents in the analysis of economic processes made them one of the best economic forecasting tools. The methodological basis of this paper is two approaches of economic forecasting theory: technical analysis and fundamental analysis. In this article, we have performed the calibration of the DSGE model with investment adjustment costs for the Latvian economy and compared these results with the statistical data filtered with the SSA method. Key results have shown the ability of both approaches to capture the dynamics of the main Latvian macroeconomic indicators.

Suggested Citation

  • Sergejs Hilkevics & Valentina Semakina, 2025. "A Comparative Analysis of the Calibrated DSGE Model and SSA Method Results on the Latvian Economy," Economies, MDPI, vol. 13(4), pages 1-22, March.
    • Handle: RePEc:gam:jecomi:v:13:y:2025:i:4:p:94-:d:1623681
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    1. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    2. Valadkhani, Abbas, 2004. "History of macroeconometric modelling: lessons from past experience," Journal of Policy Modeling, Elsevier, vol. 26(2), pages 265-281, February.
    3. Nikolay Iskrev, 2018. "Calibration and the estimation of macroeconomic models," Working Papers REM 2018/34, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    4. Filippo Ferroni & Stefano Grassi & Miguel A. Leon-Ledesma, 2015. "Fundamental shock selection in DSGE models," Studies in Economics 1508, School of Economics, University of Kent.
    5. Takeshi Yagihashi, 2020. "DSGE Models Used by Policymakers: A Survey," Discussion papers ron333, Policy Research Institute, Ministry of Finance Japan.
    6. José Luis Torres Chacon, 2016. "Introduction to Dynamic Macroeconomic General Equilibrium Models [Second Edition, E-book]," Vernon Press Titles in Economics, Vernon Art and Science Inc, edition 2, number 81.
    7. Yun, Tack, 1996. "Nominal price rigidity, money supply endogeneity, and business cycles," Journal of Monetary Economics, Elsevier, vol. 37(2-3), pages 345-370, April.
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