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JACIII Vol.24 No.6 pp. 785-791
doi: 10.20965/jaciii.2020.p0785
(2020)

Paper:

The Great Depression: Econometric Analysis and Fuzzy Regression

Peter Kuzmin*1, Vitaliy Kalashnikov*2,†, Natalyia Kalashnykova*3, and Junzo Watada*4

*1Department of International Economics, Mathematical Methods and Business Informatics, Altai State University
68 Socialist Street, Barnaul 656049, Russia

*2Facultad de Economía, Universidad Autónoma de Nuevo León (UANL)
Monterrey, Nuevo León, Mexico

*3Facultad de Ciencias Físico Matemáticas (FCFM), Universidad Autónoma de Nuevo León (UANL)
Pedro de Alba, Niños Héroes, Ciudad Universitaria, San Nicolás de los Garza, Nuevo León 66451, Mexico

*4Waseda University, Japan
Kobai, Yahatanishi, Kitakyushu, Fukuoka 803-0011, Japan

Corresponding author

Received:
August 4, 2020
Accepted:
October 3, 2020
Published:
November 20, 2020
Keywords:
production functions, Cobb–Douglas functions, regression analysis
Abstract
The Great Depression: Econometric Analysis and Fuzzy Regression

Financial markets

The study examines the period of the Great Depression and analyzes several measures taken by the US President Roosevelt’s government that allowed the country to get out of the crisis. An analysis and proof of the correctness of the measures chosen to exit from the crisis was conducted using econometric models and the use of statistics. Techniques for overcoming crises are relevant for all countries. This study adapts an innovative perspective in that it used the sequence of the Cobb–Douglas type function including different types of factors, and applied fuzzy regression methods.

Cite this article as:
Peter Kuzmin, Vitaliy Kalashnikov, Natalyia Kalashnykova, and Junzo Watada, “The Great Depression: Econometric Analysis and Fuzzy Regression,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.6, pp. 785-791, 2020.
Data files:
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