Assessment of Macroeconomic Performances of OECD Countries Using the MEREC-MULTIMOOSRAL Model

Nazlı Ersoy

Makale detayları

Assessment of Macroeconomic Performances of OECD Countries Using the MEREC-MULTIMOOSRAL Model

Yazarlar:

Nazlı Ersoy

Yayıncı:

Gumushane University

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.471-491

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001291307

pISSN:

1309-7423

Anahtar kelimeler:

Özet:

 Measuring the macroeconomic performance of a country is crucial in determining the level of welfare and determining the extent to which economic targets have been achieved. This study is aimed to evaluate the macroeconomic performances of OECD countries for the period 2020-2021 using Multi-Criteria Decision Making methods. In this direction, the importance levels of macroeconomic indicators were determined by the MEREC technique, and the countries were ranked using the MULTIMOOSRAL method according to their performance. In order to test the robustness of the MULTIMOOSRAL method, a sensitivity analysis was applied by comparing the mentioned method with the SAW, MAUT, PIV methods. At the end of the study, deviations occurred between the ranking results obtained by different methods and a high positive correlation was detected between the rankings obtained. It has been determined that the MEREC-MULTIMOOSRAL model is a suitable for the measurement of macroeconomic performance. The MEREC-MULTIMOOSRAL model was used for the first time in macroeconomic performance measurement. In this respect, it is thought that the study will contribute to the literature.

 Measuring the macroeconomic performance of a country is crucial in determining the level of welfare and determining the extent to which economic targets have been achieved. This study is aimed to evaluate the macroeconomic performances of OECD countries for the period 2020-2021 using Multi-Criteria Decision Making methods. In this direction, the importance levels of macroeconomic indicators were determined by the MEREC technique, and the countries were ranked using the MULTIMOOSRAL method according to their performance. In order to test the robustness of the MULTIMOOSRAL method, a sensitivity analysis was applied by comparing the mentioned method with the SAW, MAUT, PIV methods. At the end of the study, deviations occurred between the ranking results obtained by different methods and a high positive correlation was detected between the rankings obtained. It has been determined that the MEREC-MULTIMOOSRAL model is a suitable for the measurement of macroeconomic performance. The MEREC-MULTIMOOSRAL model was used for the first time in macroeconomic performance measurement. In this respect, it is thought that the study will contribute to the literature.

 Measuring the macroeconomic performance of a country is crucial in determining the level of welfare and determining the extent to which economic targets have been achieved. This study is aimed to evaluate the macroeconomic performances of OECD countries for the period 2020-2021 using Multi-Criteria Decision Making methods. In this direction, the importance levels of macroeconomic indicators were determined by the MEREC technique, and the countries were ranked using the MULTIMOOSRAL method according to their performance. In order to test the robustness of the MULTIMOOSRAL method, a sensitivity analysis was applied by comparing the mentioned method with the SAW, MAUT, PIV methods. At the end of the study, deviations occurred between the ranking results obtained by different methods and a high positive correlation was detected between the rankings obtained. It has been determined that the MEREC-MULTIMOOSRAL model is a suitable for the measurement of macroeconomic performance. The MEREC-MULTIMOOSRAL model was used for the first time in macroeconomic performance measurement. In this respect, it is thought that the study will contribute to the literature.

 Bir ülkenin makroekonomik performansının ölçülmesi, refah düzeyinin belirlenmesinde ve ekonomik hedeflere ne ölçüde ulaşıldığının tespitinde oldukça önemlidir. Bu çalışmada, OECD ülkelerinin 2020-2021 dönemi makroekonomik performanslarının Çok Kriterli Karar Verme yöntemleri kullanılarak değerlendirilmesi amaçlanmıştır. Bu doğrultuda, çalışmada kullanılan enflasyon, işsizlik, kişi başına GSYH, cari denge gibi makroekonomik göstergelerin önem dereceleri MEREC tekniği ile belirlenmiş, ülkeler ise performansları doğrultusunda MULTIMOOSRAL yöntemi kullanılarak sıralanmıştır. MULTIMOOSRAL yöntemi ile ulaşılan sonuçların sağlamlığını test etmek amacıyla duyarlılık analizi gerçekleştirilmiştir ve bahsi geçen yöntem SAW, MAUT, PIV yöntemleri ile kıyaslanmıştır. Çalışma sonunda, farklı yöntemlerle elde edilen sıralama sonuçları arasında sapmalar meydana gelirken, elde edilen sonuçlar arasında pozitif yönlü yüksek bir ilişki tespit edilmiştir. MEREC-MULTIMOOSRAL modelinin makroekonomik performans ölçümü uygun bir model olduğu saptanmıştır. MEREC-MULTIMOOSRAL modeli makroekonomik performans ölçümü probleminde ilk kez kullanılmıştır. Bu açıdan çalışmanın literatüre katkı sunacağı düşünülmektedir.

Makale detayları

Assessment of Macroeconomic Performances of OECD Countries Using the MEREC-MULTIMOOSRAL Model

Yazarlar:

Nazlı Ersoy

Yayıncı:

Gumushane University

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.471-491

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001291307

pISSN:

1309-7423

MULTIMOOSRAL

MEREC

ÇKKV

Makroekonomik performans ölçümüMULTIMOOSRAL

MEREC

ÇKKV

Makroekonomik performans ölçümü

Sayı

Makale detayları

Yazarlar: Nazlı Ersoy

Yayıncı: Gumushane University

Dergi: Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.471-491

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001291307

pISSN: 1309-7423

Sayı

Yazarlar:

Nazlı Ersoy

Yayıncı:

Gumushane University

Dergi:

Gümüşhane Üniversitesi Sosyal Bilimler Dergisi Vol.14 Issue 2, pp.471-491

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001291307

pISSN:

1309-7423