WOLFRAMALPHA TECHNOLOGY IN TEACHING DISCIPLINE “ECONOMETRICS: BASIC LEVEL” FOR ECONOMIC UNDERGRADUATE STUDENTS

Abstract


The article describes the best ways of using of information technologies in the teaching of the discipline “Econometrics: basic level”, which appears an inseparable part of the applied mathematical training for Economics students at Plekhanov Russian University of Economics. These results, including fragments of educational-cognitive activity of the student within the academic discipline “Econometrics: a basic level”, allow us to estimate methodical and research potentials of the knowledge base and set of WolframAlpha computational algorithms in the applied mathematical training system for Bachelor of Economics. Disclosed possible operators WolframAlpha - fit, linear fit, quartic fit, cubic fit, quadratic fit on imaging problems depending on the level of consumption by income level (John Maynard Keynes’s model), a tool for building a research and regression analysis appears. Recommendations on the content of economic and methodical interpretation of the results: the establishment of the marginal propensity to consume, the level of consumption in the absence of income by using the Akaike information criteria and Bayesian, coefficient of determination, normalized coefficient of determination. Allocated sequence and the main features of the work of the students with the construction and analysis of the various econometric models WolframAlpha, choice of correlation, the most adequate study of the economic situation.

About the authors

D A Vlasov

Plekhanov Russian University of Economics

Stremyannyj per., 36, Moscow, Russia, 117997

A V Sinchukov

Plekhanov Russian University of Economics

Stremyannyj per., 36, Moscow, Russia, 117997

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Copyright (c) 2016 Власов Д.А., Синчуков А.В.

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