ANALYSIS OF THE MAIN TRENDS AND FORECASTING THE LEVEL OF POVERTY OF THE POPULATION OF THE ASTRAKHAN REGION ON THE BASIS OF TIME SERIES METHODS
https://doi.org/10.21686/2500-3925-2014-4-154-157
Abstract
The methodical bases of research and forecast of the level of poverty are stated in the article. The great attention is focused on the analysis of the main trends and predicting the level of poverty on the basis of time series. The author offer two predictive models of poverty level in Astrakhan region on the basis of trend analysis of time series and poverty by using the exponential smoothing - the multiplicative Holt-Winters model with a linear increase.
About the Author
Marina V. Kolomeiko
Moscow State University of Economics, Statistics and Informatics (MESI)
Russian Federation
Russian Federation
References
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Review
For citations:
Kolomeiko M.V. ANALYSIS OF THE MAIN TRENDS AND FORECASTING THE LEVEL OF POVERTY OF THE POPULATION OF THE ASTRAKHAN REGION ON THE BASIS OF TIME SERIES METHODS. Statistics and Economics. 2014;(4):154-157. (In Russ.) https://doi.org/10.21686/2500-3925-2014-4-154-157
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