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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
This paper, unlike the previous studies dealing with Kaldor’s engine-of-economic growth hypothesis, applies the techniques of cointegration and Granger causality to investigate the causal relationship between industrial growth and overall economic performance in the Turkish economy.
📌 3 Key Takeaways
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Objective & Hypothesis:This paper, unlike the previous studies dealing with Kaldor’s engine-of-economic growth hypothesis, applies the techniques of cointegration and Granger causality to investigate the causal relationship between industrial growth and overall economic performance in the Turkish economy.
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Key Findings & Data:This paper, unlike the previous studies dealing with Kaldor’s engine-of-economic growth hypothesis, applies the techniques of cointegration and Granger causality to investigate the causal relationship between industrial growth and overall economic performance in the Turkish economy.
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Conclusion & Impact:The empirical evidence presented in the paper finds support for the Kaldor’s hypothesis.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Kaldor's engine-of-economic growth · cointegration · error- correction model
Abstract
This paper, unlike the previous studies dealing with Kaldor’s engine-of-economic growth hypothesis, applies the techniques of cointegration and Granger causality to investigate the causal relationship between industrial growth and overall economic performance in the Turkish economy. The empirical evidence presented in the paper finds support for the Kaldor’s hypothesis.
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Cite This Article
YAMAK, N. (2000). Cointegration, Causality and Kaldor’s Hypothesis: Evidence from Turkey, 1946-1995. Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 2 - Sayı: 1, 75–80. https://ajindex.com/articles/14728