Akademik Veri Yönetim Sistemi
8 th International Conference on Advances in Statistics, Gazimagusa, Kıbrıs (Kktc), 16 - 18 Mayıs 2022
We used a hybrid methodology of linear regression on panel data and panel data clustering on
gross domestic product per year of various countries between 1968-2015. Our aim was to see
the difference between the growth trends of the countries and evaluate their numerically
expressed growths according to their significance. The countries used in the data are
Afghanistan, Albania, Argentina, Australia, Austria, Burundi, Belgium, Benin, Burkina Faso,
Bangladesh, Bulgaria, Bolivia, Brasil, Barbados, Botswana, Central African Republic,
Canada, Switzerland, Chile, China, Cote d’Ivor, Cameroon, Congo, Democratic Republic of
Congo, Comoros, Cabo Verde, Costa Rica, Czech Republic, Cyprus, Germany, Djibouti,
Dominica, Dominican Republic, Equador, Egypt, Ethiopia, Spain, France, Finland, Gabon,
United Kingdom, Ghana, Guinea, Guinea-Bissau, Greece, Guatemala, Hong Kong and
Honduras. Even though these countries can generally be categorized into developing and
developed countries, we wanted to evaluate the clustering algorithm on the basis of coming up
with the amount of clusters just enough to make a meaningful distinction between countries
other than the aforementioned subjective categorization. Our findings showed us that all
countries can be expressed in 6 clusters even though there are minor differences between the
clusters.