VAR YAKLAŞIMI İLE VERİMLİLİK ŞOKLARININ ETKİLERİNİN BELİRLENMESİ

Yıl 2004, Sayı: 10, - , 20.06.2015

Levent Erdoğan

Öz

This paper examines to provides cyclical behavior of productivity, its determinants and its relationship with economic activity. In order to find out the relationship between productivity and business cycle, it is examined the hypothesis of Real Business Cycle (RBC) that assumes productivity shocks is the only basic source of economic fluctuations. In this paper, the effect of technology shocks on business cycles are examined employing Cointegrated VAR (VECM) methodology. Econometric results supports that a shock to output is the dominant source of business cycle fluctuations

Anahtar Kelimeler

Productivity, Productivity shocks, Business cycles, Cointegrated VAR

VAR YAKLAŞIMI İLE VERİMLİLİK ŞOKLARININ ETKİLERİNİN BELİRLENMESİ

Öz

Bu çalışmada verimliliğin devrevi hareketi, ekonomik faaliyetlerle ilişkisi ve verimliliği nelerin belirlediği açıklanmaya çalışılmıştır. Verimlilik ve konjonktürel dalgalanmalar arasındaki ilişki, ekonomik dalgalanmaların tek nedeni olarak teknoloji şoklarını ele alan Reel Konjonktür Teorisi çerçevesinde incelenmiştir. Çalışmada eşbütünleşik VAR (VECM) yaklaşımı kullanılarak teknoloji şoklarının konjonktürel dalgalanmalarla uyumlu hareket ettiği sonucuna ulaşılmıştır. Elde edilen ekonometrik sonuçlar çıktıdaki bir şokun, konjonktürel dalgalanmaların en baskın unsuru olduğunu ortaya koymaktadır

Anahtar Kelimeler

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Kaynakça

• Alexius Annika ve Carlsson Mikael (2002), Measures of Technology and the Business Cycle, National Bureau of Economic Research, Newyork,
• Working Paper:5856, Mayıs .
• Beveridge Stephen ve Nelson Charles(1981), A New Approach to
• Decomposition of Economic Time series into Permanent and Transitory Components with Particular Attention to Measurement of the Business Cycle, Journal of Monetary Economics, 7, Mart. Blanchard Oliver Jean ve Quah Danny (1989). The Dynamic Effects of
• Aggregate Demand and Supply Disturbances, American Economic Review,Vol. 79 No.4, Eylül. Engle Robert F. ve Granger C.W.J. (1987). Cointegration and Error
• Correction: Representation, Estimation, Testing, Econometrica, Vol. 55. Francis N. R., Owyang M.T. ve Theodorou A.T. (2003), The Use of Long
• Run Restrictions for the Identification of Technology Shocks, Federal Reserve Bank of St.Louis Review, Volume 85, Number 6. Gali Jordi (1999), Technology, Employment and the Business Cycle: Do
• Technology Shocks Explain Aggregate Fluctuations? American Economic Review,Vol. 89 No.1, Mart. King Robert G., Plosser Charles I., Stock James H. ve Watson Mark W. (1991), Stochastic Trends and Economic Fluctuations, American Economic Review,Vol. 81 No.4, Eylül
• Sims, Christopher A. (1980a). Macroeconomics and Reality. Econometrica, 48(1).
• Sims Christopher A. (1980b), Comparison of Interwar and Postwar Business
• Cycles: Monetarism Reconsidered, American Economic Association, Vol. 70 No. Yıldırım Kemal ve Karaman Doğan, Makroekonomi, Eğitim, Sağlık ve Bilimsel Araştırma Çalışmaları Vakfı, Yayın No: 145, Eskişehir. ---------- Eviews4.0 Users Guide (1998), Quantitative Micro Software, Second Edition. EKLER