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DC Field | Value | Language |
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dc.contributor.author | Bivol, Dorina | - |
dc.date.accessioned | 2024-03-19T12:50:48Z | - |
dc.date.available | 2024-03-19T12:50:48Z | - |
dc.date.issued | 2023-04 | - |
dc.identifier.isbn | 978-9975-180-07-8 | - |
dc.identifier.uri | https://irek.ase.md:443/xmlui/handle/123456789/3323 | - |
dc.description | BIVOL, Dorina. Metode de prognoza a indicatorilor macro-economici principali a Republicii Moldova = Methods of Forecasting the Main Macroeconomic Indicators of the Republic of Moldova. Coord. șt.: TOACĂ, Zinovia. In: Simpozion Ştiinţific al Tinerilor Cercetători, (7-8 aprilie 2023) [online]: Culegere de lucrări ştiinţifice. Ediţia a 21-a. Chişinău: [S. n.], 2023, vol. 3, pp. 160-163. ISBN 978-9975-180-07-8. | en_US |
dc.description.abstract | The forecast of macroeconomic indicators has a major impact on economic decision-making. To make a qualitative forecast, it is necessary to analyze the methods and tools used to forecast macroeconomic indicators, as well as to examine the factors that influence the accuracy of forecasts. There is a wide range of methods used to forecast macroeconomic indicators, including econometric methods. In this regard, two of the many models are presented: the ARIMA model and the SEM model. DOI: https://doi.org/10.53486/sstc.v3.34; CZU: 338.27:330.101.541(478); JEL: E170 | en_US |
dc.language.iso | other | en_US |
dc.publisher | Print-Caro | en_US |
dc.subject | macroeconomic indicators | en_US |
dc.subject | forecasting | en_US |
dc.subject | econometric methods | en_US |
dc.subject | ARIMA model | en_US |
dc.subject | SEM model | en_US |
dc.title | Metode de prognoza a indicatorilor macro-economici principali a Republicii Moldova | en_US |
dc.title.alternative | Methods of Forecasting the Main Macroeconomic Indicators of the Republic of Moldova | en_US |
dc.type | Article | en_US |
Appears in Collections: | 2.Articole |
Files in This Item:
File | Description | Size | Format | |
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Simp_St_Internat_tinerilor_cercet_7-8 aprilie 2023 Vol_3_p 160-163.pdf | 373.01 kB | Adobe PDF | View/Open |
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