| Articolul precedent |
| Articolul urmator |
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 131 0 |
| Căutarea după subiecte similare conform CZU |
| 338.27:330.101.541(478) (1) |
| Economic policy. Control of the economy. Management of the economy. Economic planning (446) |
| Science of economics. Basic economic concepts, theory. Value. Capital. Fund (243) |
 SM ISO690:2012BIVOL, Dorina. Metode de prognoza a indicatorilor macro-economici principali a Republicii Moldova. In: Simpozion ştiinţific al tinerilor cercetători , Ed. 21, 7-8 aprilie 2023, Chişinău. Chişinău Republica Moldova: "Print-Caro" SRL, 2023, Ediţia 21, Vol.3, pp. 160-163. ISBN 978-9975-180-04-7. DOI: https://doi.org/10.53486/sstc.v3.34 |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Simpozion ştiinţific al tinerilor cercetători Ediţia 21, Vol.3, 2023 |
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Simpozionul "Simpozion ştiinţific al tinerilor cercetători" 21, Chişinău, Moldova, 7-8 aprilie 2023 | ||||||
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| DOI:https://doi.org/10.53486/sstc.v3.34 | ||||||
| CZU: 338.27:330.101.541(478) | ||||||
| JEL: E170 | ||||||
| Pag. 160-163 | ||||||
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| Rezumat | ||||||
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. |
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| Cuvinte-cheie macroeconomic indicators, Forecasting, econometric methods, ARIMA model, SEM model |
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