STOCHASTIC CONVERGENCE OF INCOME IN TURKIYE: A METHODOLOGICAL REINVESTIGATION OF PROVINCES

Altan Bozdoğan

Makale detayları

STOCHASTIC CONVERGENCE OF INCOME IN TURKIYE: A METHODOLOGICAL REINVESTIGATION OF PROVINCES

Yazarlar:

Altan Bozdoğan

Yayıncı:

Marmara University

Ana Başlıklar:

Applied Macroeconometrics

Dergi:

Journal of Research in Economics Vol.8 Issue 2, pp.166-190

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329280

pISSN:

2636-8307

Anahtar kelimeler:

Özet:

 This study revisits income convergence among Turkish provinces for 1992-2019 and differs from most empirical literature due to its unique structural and methodological framework. Stochastic convergence is tested by employing a battery of panel stationarity tests that allow cross-sectional dependence and structural breaks. Breaks are further analyzed with respect to the nature of breaks as sharp and smooth. Sharp breaks are identified endogenously, while smooth breaks are accounted for using the Fournier approximation. Although σ-convergence is detected, there are no shreds of evidence of stochastic convergence at the panel level. Univariate test statistics demonstrate that at the provincial level, there is no single case that applies to all provinces. As additional dimensions of the data-generating process are evaluated in the testing procedure, outcomes about stochastic convergence slightly shift for provinces. However, findings at the panel level remain consistent and do not produce stochastic convergence. At the provincial level, mixed results are obtained.

 This study revisits income convergence among Turkish provinces for 1992-2019 and differs from most empirical literature due to its unique structural and methodological framework. Stochastic convergence is tested by employing a battery of panel stationarity tests that allow cross-sectional dependence and structural breaks. Breaks are further analyzed with respect to the nature of breaks as sharp and smooth. Sharp breaks are identified endogenously, while smooth breaks are accounted for using the Fournier approximation. Although σ-convergence is detected, there are no shreds of evidence of stochastic convergence at the panel level. Univariate test statistics demonstrate that at the provincial level, there is no single case that applies to all provinces. As additional dimensions of the data-generating process are evaluated in the testing procedure, outcomes about stochastic convergence slightly shift for provinces. However, findings at the panel level remain consistent and do not produce stochastic convergence. At the provincial level, mixed results are obtained.

 This study revisits income convergence among Turkish provinces for 1992-2019 and differs from most empirical literature due to its unique structural and methodological framework. Stochastic convergence is tested by employing a battery of panel stationarity tests that allow cross-sectional dependence and structural breaks. Breaks are further analyzed with respect to the nature of breaks as sharp and smooth. Sharp breaks are identified endogenously, while smooth breaks are accounted for using the Fournier approximation. Although σ-convergence is detected, there are no shreds of evidence of stochastic convergence at the panel level. Univariate test statistics demonstrate that at the provincial level, there is no single case that applies to all provinces. As additional dimensions of the data-generating process are evaluated in the testing procedure, outcomes about stochastic convergence slightly shift for provinces. However, findings at the panel level remain consistent and do not produce stochastic convergence. At the provincial level, mixed results are obtained.

 This study revisits income convergence among Turkish provinces for 1992-2019 and differs from most empirical literature due to its unique structural and methodological framework. Stochastic convergence is tested by employing a battery of panel stationarity tests that allow cross-sectional dependence and structural breaks. Breaks are further analyzed with respect to the nature of breaks as sharp and smooth. Sharp breaks are identified endogenously, while smooth breaks are accounted for using the Fournier approximation. Although σ-convergence is detected, there are no shreds of evidence of stochastic convergence at the panel level. Univariate test statistics demonstrate that at the provincial level, there is no single case that applies to all provinces. As additional dimensions of the data-generating process are evaluated in the testing procedure, outcomes about stochastic convergence slightly shift for provinces. However, findings at the panel level remain consistent and do not produce stochastic convergence. At the provincial level, mixed results are obtained.

Makale detayları

STOCHASTIC CONVERGENCE OF INCOME IN TURKIYE: A METHODOLOGICAL REINVESTIGATION OF PROVINCES

Yazarlar:

Altan Bozdoğan

Yayıncı:

Marmara University

Ana Başlıklar:

Applied Macroeconometrics

Dergi:

Journal of Research in Economics Vol.8 Issue 2, pp.166-190

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329280

pISSN:

2636-8307

Stochastic Convergence

Fourier Approximation

Panel Unit Root

Regional Economics

Stationarity

Sayı

Makale detayları

STOCHASTIC CONVERGENCE OF INCOME IN TURKIYE: A METHODOLOGICAL REINVESTIGATION OF PROVINCES

Yazarlar: Altan Bozdoğan

Yayıncı: Marmara University

Ana Başlıklar: Applied Macroeconometrics

Dergi: Journal of Research in Economics Vol.8 Issue 2, pp.166-190

Belge Tipi: Makale

Yayın Tarihi: 10/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001329280

pISSN: 2636-8307

Stochastic Convergence

Fourier Approximation

Panel Unit Root

Regional Economics

Stationarity

Sayı

Yazarlar:

Altan Bozdoğan

Yayıncı:

Marmara University

Ana Başlıklar:

Applied Macroeconometrics

Dergi:

Journal of Research in Economics Vol.8 Issue 2, pp.166-190

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001329280

pISSN:

2636-8307