Regression analysis of the relationship between economic growth and foreign aid in Africa

Thesis title: Regression analysis of the relationship between economic growth and foreign aid in Africa
Author: Ngango, Jean Gabin
Thesis type: Diploma thesis
Supervisor: Bašta, Milan
Opponents: Helman, Karel
Thesis language: English
Abstract:
This thesis explores the impact of foreign aid on growth in Africa. It focuses on whether foreign aid has an effect on capital accumulation and GDP growth. The dataset spans five years, from 2014 to 2018 for 44 countries. According to the regression results, foreign aid has non-linear relationship with economic growth. Foreign aid has a significant impact on investment and economic growth with diminishing returns. Foreign aid has no significance impact on saving as it fails to impact incentives to when choosing between present and future consumption.
Keywords: Economic growth; null hypothesis; Foreign aid; alternative hypothesis; Ordinary least squares
Thesis title: Regression analysis of the relationship between economic growth and foreign aid in Africa
Author: Ngango, Jean Gabin
Thesis type: Diplomová práce
Supervisor: Bašta, Milan
Opponents: Helman, Karel
Thesis language: English
Abstract:
This thesis explores the impact of foreign aid on growth in Africa. It focuses on whether foreign aid has an effect on capital accumulation and GDP growth. The dataset spans five years, from 2014 to 2018 for 44 countries. According to the regression results, foreign aid has non-linear relationship with economic growth. Foreign aid has a significant impact on investment and economic growth with diminishing returns. Foreign aid has no significance impact on saving as it fails to impact incentives to when choosing between present and future consumption.
Keywords: Foreign aid; Economic growth, ; null hypothesis; alternative hypothesis; Ordinary least squares

Information about study

Study programme: Kvantitativní metody v ekonomice/Quantitative Economic Analysis
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Informatics and Statistics
Department: Department of Statistics and Probability

Information on submission and defense

Date of assignment: 15. 10. 2020
Date of submission: 3. 5. 2021
Date of defense: 3. 6. 2021
Identifier in the InSIS system: https://insis.vse.cz/zp/74720/podrobnosti

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