Design of Methods for Long-Term Forecasting of Development Trends in the Russian Economy (Methodology and Model Toolkit)
| Autor: | N. V. Suvorov, S. V. Treshchina, Yu. V. Beletskii |
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| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
Economics and Econometrics Computer science business.industry Management science 05 social sciences 050905 science studies Term (time) Econometric model Development (topology) Analytics 0502 economics and business Russian economy 050207 economics 0509 other social sciences Time series business computer Economic forecasting computer.programming_language |
| Zdroj: | Studies on Russian Economic Development. 31:636-646 |
| ISSN: | 1531-8664 1075-7007 |
| DOI: | 10.1134/s107570072006012x |
| Popis: | The subject of this article is to describe possible areas for improvement of long-term economic forecasting methodology based on the mathematical toolkit of econometrics. Design issues are discussed with regard to methodological principles of applying this toolkit to forecasting and analytics. Special attention is paid to the development of a forecasting and analytical calculation scheme that ensures interconnected generation of long-term indicators of economic development at the macroeconomic and sectoral levels. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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