Economics and economy modeling in Excel and R. Textbook
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The textbook includes the topics of modern economy meters, often used in economic research. Some aspects of multiple regression models are considered related to the problem of multicollinearity, models with a discrete dependent variable, including methods for evaluating, analysis and application. A significant place is given to the analysis of models of one -dimensional and multidimensional time series. Modern ideas about the deterministic and stochastic nature of the trend are considered. The methods of statistical identification of the trend type have been studied. Attention is paid to the assessment, analysis and practical implementation of models of stationary time rows of boxing - Jenkins, as well as models of multidimensional time rows: vector abstract models and vector errors. The main economical models for panel data are included, widely used in recent decades, as well as formal tests for choosing models, taking into account their hierarchical structure. Each section provides examples of evaluation, analysis and testing of models in the program environment R.
Follow the requirements of federal state educational standards of higher education of the latest generation.
addressed to students of the magistracy studying in the field of Economics, whose curriculum provides for the disciplines Economics (advanced course), Economic modeling, Economic studies, and graduate students
Follow the requirements of federal state educational standards of higher education of the latest generation.
addressed to students of the magistracy studying in the field of Economics, whose curriculum provides for the disciplines Economics (advanced course), Economic modeling, Economic studies, and graduate students
Author:
Author:Babushko Lyudmila Olegovna
Cover:
Cover:Hard
Category:
- Category:Business & Money
- Category:Science & Math
Series:
Series: Higher Education. Magistracy
ISBN:
ISBN:978-5-16-016059-7
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