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GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ

Year 2008, Volume: 10 Issue: 20, 115 - 127, 01.10.2008

Abstract

Bu çalışmada, uzun dönem faiz oranları iç borçlanma faiz oranları ile fiyat düzeyi logaritmik arasında güçlü pozitif ilişkinin bulunduğunu ifade eden Gibson çelişkisi, Türkiye Ekonomisi’nin 1987 I -2004 IV dönemine ilişkin mevsimsel verileri kullanarak test edilmektedir. Çalışmada, uygulamalı ekonometride Pesaran vd. 2001 tarafından yeni geliştirilen eşbütünleşmeye ARDL sınır testi yaklaşımı kullanılmaktadır. Elde edilen sonuçlar, Gibson’nın bulgularını desteklemektedir

References

  • Atkins, F. ve Serletis, A. (2003). “Bound Tests of the Gibson Paradox and the Fisher
  • Effect: Evidence from Low-Frequency International Data”, The Manchester School, (6), 673-679. Bahmani-Oskooee, M. ve Alse, J. (1993). “Export Growth and Economic Growth: An
  • Application of Cointegration and Error-Correction Modelling”, The Journal of Developing Areas, .27, July, 535-542. Barsky, R.B. ve Summers, L.H. (1985), “Gibson’s Paradox and the Gold Standard”
  • NBER Working Paper, No.1680 1-48. http://www.nber.org/papers/w.1680
  • Bewley, R.A. (1979), “The Direct Estimation of the Equilibrium Response in at Linear
  • Dynamic Model”, Economics Letters, 3, 357-361. Cochran, J. (1997), “Replicating Gibson: Or, A Pair of Dummies Does not Beat a Paradox”, 1-21. http://www.gmu.edu/departments/economics/working/Pages/9910.html
  • Coulombe, S. (1998), “A Non-Paradoxial Interpretation of the Gibson Paradox”, Bank of Canada, Working Papers, 98-22, 1-47. http://www.bankofcanada.ca/publications/working.papers/1998/wp98-22.pdf
  • Corbae, D. ve Oualiris, S. (1989), “A Random Walk Through the Gibson Paradox”
  • Journal of Applied Econometrics, 4, 1-47. Engle, Robert F. ve Granger, C.V.J. (1987), “Cointegration and Error Correction
  • Representation, Estimation, and Testing”,Econometrica, 55, 251-276. Halicioglu, F. (2004). “The Gibson Paradox: An Empirical Investigation for Turkey”
  • European Research Studies Journal, 27(1-2), 111-119. Granger, C.W.J. (1969), “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods”, Econometrica, 37, 424-38.
  • Granger, C.W.J. (1986), “Developments in the Study of Co-Integrated Economic
  • Variables”, Oxford Bulletin of Economics and Statistics, 48(3), 213-228. Harris, R. (1995). Using Cointegration Analysis in Econometric Modelling, Prentice
  • Hall, London, New York. Johansen, S. (1988), “Statistical Analysis of Cointegration Vectors,” Journal of
  • Economic Dynamics and Control, 12(1), 231-54. Johansen, S. ve Juselius, K. (1990). “Maximum Likelihood Estimation and Inference on
  • Cointegration with Application to the Demand for Money”, Oxford Bulletin of Economics and Statistics, 52, 69-206. Jones, J. D. ve Joulfaian, D. (1991). “Federal Government Expenditures and Revenues in the Early Years of the American Republic: Evidence From 1792 to 1860”, Journal of Macroeconomics, 13(1), 133-55.
  • Klein, L.R. (1995), “An Economic Interpretation of the Gibson Relationship”, Atlantic Economic Journal, 23, 159-76.
  • Kremers, J.M., Ericsson, N. R. ve Dolado, J. (1992) “The Power of Cointegration
  • Tests”, Oxford Bulletin of Economics and Statistics, 54, 325-348. Lee, C. J. ve Petruzzi, C.R. (1986). “The Gibson Paradox and the Monetary Standard”
  • The Review Bulletin of Economics and Statistics, 68, 189-96. Mah, J. S. (2000) “An Empirical Examination of the Disaggregated Import Demand of
  • Korea – the Case of Information Technology Products”, Journal of Asian Economics, , 237-244. Pesaran, M. H. ve Pesaran, B. (1997). Working with Microfit 4.0, Interactive
  • Econometric Analysis, Oxford University Press, Oxford. Pesaran, M.H. ve Shin, Y. (1999). “An Autoregressive Distributed Lag Modelling
  • Approach to Cointegration Analysis”, in (ed) S. Storm, Econometrics and Economic Theory in the 20th Century. The Ragnar Frisch Centennial Symposium, chapter 11, Cambridge Univ. Press, Cambridge. (http://www.econ.cam.ac.uk/faculty/pesaran/ardl.pdf) Pesaran, M.H., Shin, Y. ve Smith, R. J. (2001), “Bound Testing Approaches to the Analysis of Long Run Relationships”, Journal of Applied Econometrics, special issue, , 289-326.
  • Phillips, P.C.B. ve Perron, P. (1988).”Testing for a Unit Root in Time Series
  • Regression”, Biometrica, 75, 335-46. Rahbek, A. ve Mosconi, R. (1999). “Cointegration Rank Inference with Stationary
  • Regressors in VAR Models”, Econometrics Journal, 2, 76-91. Sargent, T.J. (1973). “Interest Rates and Prices in the Long Run: A Study of the Gibson
  • Paradox”, Journal of Money, Credit and Banking, 4, 385-449. Serletis, A. ve Zestos, G. (1999). “On the Gibson Paradox”, Review of International Economics, 7(1), 117-125.
  • Shiller, R.J. ve Siegel, J. (1977). “The Gibson Paradox and Historical Movements in
  • Real Interest Rates”, Journal of Political Economy, 85(5), 891-907. ŞİMŞEK, Muammer ve KADILAR, Cem (2005). “Fisher Etkisinin Türkiye Verileri ile Analizi”, Doğuş Üniversitesi Dergisi, 7(1), 99-111.
  • Yamak, N. ve Tanriover, B. (2007). “Türkiye’de Nominal Faiz Oranı_Genel Fiyat Düzeyi İlişkisi: Gibson Paradoksu”, 8. Türkiye Ekonometri ve İstatistik Kongresi, 24-25
  • Mayıs 2007. (http://eisemp8.inonu.edu.tr/bildiri-pdf/yamak-tanriover.pdf)

THE GIBSON PARADOX: THE CASE OF TURKEY

Year 2008, Volume: 10 Issue: 20, 115 - 127, 01.10.2008

Abstract

In this study, the Gibson paradox, which is the strong positive correlation between the price level measured by a log price index and the long-term nominal interest rate measured by the yield to maturity of long-term bonds, has been tested using Turkish quarterly data over the 1987 I - 2004 IV periods. Here, ARDL bounds testing approach to cointegration developed by Pesaran et al. 2001 in applied econometrics is used. Results support the Gibson’s findings in Turkey, as well

References

  • Atkins, F. ve Serletis, A. (2003). “Bound Tests of the Gibson Paradox and the Fisher
  • Effect: Evidence from Low-Frequency International Data”, The Manchester School, (6), 673-679. Bahmani-Oskooee, M. ve Alse, J. (1993). “Export Growth and Economic Growth: An
  • Application of Cointegration and Error-Correction Modelling”, The Journal of Developing Areas, .27, July, 535-542. Barsky, R.B. ve Summers, L.H. (1985), “Gibson’s Paradox and the Gold Standard”
  • NBER Working Paper, No.1680 1-48. http://www.nber.org/papers/w.1680
  • Bewley, R.A. (1979), “The Direct Estimation of the Equilibrium Response in at Linear
  • Dynamic Model”, Economics Letters, 3, 357-361. Cochran, J. (1997), “Replicating Gibson: Or, A Pair of Dummies Does not Beat a Paradox”, 1-21. http://www.gmu.edu/departments/economics/working/Pages/9910.html
  • Coulombe, S. (1998), “A Non-Paradoxial Interpretation of the Gibson Paradox”, Bank of Canada, Working Papers, 98-22, 1-47. http://www.bankofcanada.ca/publications/working.papers/1998/wp98-22.pdf
  • Corbae, D. ve Oualiris, S. (1989), “A Random Walk Through the Gibson Paradox”
  • Journal of Applied Econometrics, 4, 1-47. Engle, Robert F. ve Granger, C.V.J. (1987), “Cointegration and Error Correction
  • Representation, Estimation, and Testing”,Econometrica, 55, 251-276. Halicioglu, F. (2004). “The Gibson Paradox: An Empirical Investigation for Turkey”
  • European Research Studies Journal, 27(1-2), 111-119. Granger, C.W.J. (1969), “Investigating Causal Relations by Econometric Models and Cross-Spectral Methods”, Econometrica, 37, 424-38.
  • Granger, C.W.J. (1986), “Developments in the Study of Co-Integrated Economic
  • Variables”, Oxford Bulletin of Economics and Statistics, 48(3), 213-228. Harris, R. (1995). Using Cointegration Analysis in Econometric Modelling, Prentice
  • Hall, London, New York. Johansen, S. (1988), “Statistical Analysis of Cointegration Vectors,” Journal of
  • Economic Dynamics and Control, 12(1), 231-54. Johansen, S. ve Juselius, K. (1990). “Maximum Likelihood Estimation and Inference on
  • Cointegration with Application to the Demand for Money”, Oxford Bulletin of Economics and Statistics, 52, 69-206. Jones, J. D. ve Joulfaian, D. (1991). “Federal Government Expenditures and Revenues in the Early Years of the American Republic: Evidence From 1792 to 1860”, Journal of Macroeconomics, 13(1), 133-55.
  • Klein, L.R. (1995), “An Economic Interpretation of the Gibson Relationship”, Atlantic Economic Journal, 23, 159-76.
  • Kremers, J.M., Ericsson, N. R. ve Dolado, J. (1992) “The Power of Cointegration
  • Tests”, Oxford Bulletin of Economics and Statistics, 54, 325-348. Lee, C. J. ve Petruzzi, C.R. (1986). “The Gibson Paradox and the Monetary Standard”
  • The Review Bulletin of Economics and Statistics, 68, 189-96. Mah, J. S. (2000) “An Empirical Examination of the Disaggregated Import Demand of
  • Korea – the Case of Information Technology Products”, Journal of Asian Economics, , 237-244. Pesaran, M. H. ve Pesaran, B. (1997). Working with Microfit 4.0, Interactive
  • Econometric Analysis, Oxford University Press, Oxford. Pesaran, M.H. ve Shin, Y. (1999). “An Autoregressive Distributed Lag Modelling
  • Approach to Cointegration Analysis”, in (ed) S. Storm, Econometrics and Economic Theory in the 20th Century. The Ragnar Frisch Centennial Symposium, chapter 11, Cambridge Univ. Press, Cambridge. (http://www.econ.cam.ac.uk/faculty/pesaran/ardl.pdf) Pesaran, M.H., Shin, Y. ve Smith, R. J. (2001), “Bound Testing Approaches to the Analysis of Long Run Relationships”, Journal of Applied Econometrics, special issue, , 289-326.
  • Phillips, P.C.B. ve Perron, P. (1988).”Testing for a Unit Root in Time Series
  • Regression”, Biometrica, 75, 335-46. Rahbek, A. ve Mosconi, R. (1999). “Cointegration Rank Inference with Stationary
  • Regressors in VAR Models”, Econometrics Journal, 2, 76-91. Sargent, T.J. (1973). “Interest Rates and Prices in the Long Run: A Study of the Gibson
  • Paradox”, Journal of Money, Credit and Banking, 4, 385-449. Serletis, A. ve Zestos, G. (1999). “On the Gibson Paradox”, Review of International Economics, 7(1), 117-125.
  • Shiller, R.J. ve Siegel, J. (1977). “The Gibson Paradox and Historical Movements in
  • Real Interest Rates”, Journal of Political Economy, 85(5), 891-907. ŞİMŞEK, Muammer ve KADILAR, Cem (2005). “Fisher Etkisinin Türkiye Verileri ile Analizi”, Doğuş Üniversitesi Dergisi, 7(1), 99-111.
  • Yamak, N. ve Tanriover, B. (2007). “Türkiye’de Nominal Faiz Oranı_Genel Fiyat Düzeyi İlişkisi: Gibson Paradoksu”, 8. Türkiye Ekonometri ve İstatistik Kongresi, 24-25
  • Mayıs 2007. (http://eisemp8.inonu.edu.tr/bildiri-pdf/yamak-tanriover.pdf)
There are 31 citations in total.

Details

Primary Language Turkish
Journal Section Research Article
Authors

Muammer Şimşek This is me

Cem Kadılar This is me

Publication Date October 1, 2008
Published in Issue Year 2008 Volume: 10 Issue: 20

Cite

APA Şimşek, M., & Kadılar, C. (2008). GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ. Manas Üniversitesi Sosyal Bilimler Dergisi, 10(20), 115-127.
AMA Şimşek M, Kadılar C. GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ. Manas Üniversitesi Sosyal Bilimler Dergisi. October 2008;10(20):115-127.
Chicago Şimşek, Muammer, and Cem Kadılar. “GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ”. Manas Üniversitesi Sosyal Bilimler Dergisi 10, no. 20 (October 2008): 115-27.
EndNote Şimşek M, Kadılar C (October 1, 2008) GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ. Manas Üniversitesi Sosyal Bilimler Dergisi 10 20 115–127.
IEEE M. Şimşek and C. Kadılar, “GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ”, Manas Üniversitesi Sosyal Bilimler Dergisi, vol. 10, no. 20, pp. 115–127, 2008.
ISNAD Şimşek, Muammer - Kadılar, Cem. “GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ”. Manas Üniversitesi Sosyal Bilimler Dergisi 10/20 (October 2008), 115-127.
JAMA Şimşek M, Kadılar C. GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ. Manas Üniversitesi Sosyal Bilimler Dergisi. 2008;10:115–127.
MLA Şimşek, Muammer and Cem Kadılar. “GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ”. Manas Üniversitesi Sosyal Bilimler Dergisi, vol. 10, no. 20, 2008, pp. 115-27.
Vancouver Şimşek M, Kadılar C. GIBSON ÇELİŞKİSİNİN TÜRKİYE VERİLERİ İLE ANALİZİ. Manas Üniversitesi Sosyal Bilimler Dergisi. 2008;10(20):115-27.