Metin BERBER, Ezgi YILDIZ BADAY

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Yapışkan bilgi modeli:Türkiye için bulgular1

Bu çalışma, Yapışkan Bilgi Modelinin teorik altyapısını tanıtmayı ve Türkiye verileri üzerinde ampirikgeçerliliğini test etmeyi amaçlamaktadır. Bu amaçlar doğrultusunda, ilk olarak Yapışkan Bilgi Modelinedayalı olarak türetilen Yapışkan Bilgili Phillips Eğrisi tahmin edilmiştir. İkinci olarak, Yapışkan BilgiliPhillips Eğrisi, Yapışkan Fiyat Modeline dayalı olarak türetilen Yeni Keynesyen Phillips Eğrisi ileampirik olarak karşılaştırılmıştır. Çalışmadan elde edilen birincil sonuçlar şöyledir: i) Tahmindöneminde, yapışkan bilgi modeli Türkiye için geçerlidir ve model tarafından tanımlanan temsili kararbirimi, yaklaşık yılda bir kere bilgi güncellemesi sağlamaktadır. ii) Yapışkan Bilgili Phillips Eğrisi veri iletutarlı olmasına rağmen, Yeni Keynesyen Phillips Eğrisi ile karşılaştırıldığında düşük bir enflasyontahmin yeteneğine sahiptir. iii) Yapışkan bilgi modeli güçlü bir teorik altyapıya sahiptir. Bu nedenle,kapsamlı bir beklenti anketi kullanıldığında Yapışkan Bilgili Phillips Eğrisi lehine kanıtlar elde edilebilir.Fakat bu haliyle Yapışkan Bilgi Modeli, Yeni Keynesyen Phillips Eğrisinin teorik bir tamamlayıcısı konumundadır.

Sticky information model: Evidence for Turkey

This study aims to present the theoretical foundation of the Sticky Information Model and to examinethe empirical validity of the model on Turkey s data. For these purposes, firstly, Sticky InformationPhillips Curve that is derived from the sticky information model has been estimated. Second, StickyInformation Phillips Curve has been compared with New Keynesian Phillips Curve that is derivedfrom Sticky Price Model. The primary results obtained from the empirical study are as follows: i) In theforecast period, the sticky information model is valid for Turkey and a representative agent describedby the model provides information update approximately once a year. ii) Altough the StickyInformation Phillips curve is consistent with the data, in comparison to the New Keynesian PhillipsCurve, it has an inferior ability to predict inflation. iii) Sticky information model has a strongtheoretical background. Therefore, evidence in favor of the model can be achieved by using acomprehensive expectation survey. But in this state the sticky information model is a theoreticalcomplement to the New Keynesian Phillips Curve.
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  • Arslan, Mesut Murat (2006). “Derivation and Estimation of a Phillips Curve with Sticky Prices and Sticky Information”. MPRA Paper, 5162.
  • Baday Yıldız, Ezgi (2013). Yapışkan Bilgi Modeli: Teori ve Türkiye Uygulaması. Doktora Tezi, Karadeniz teknik Üniversitesi.
  • Baum, Christopher F. and Schaffer, Mark E.(2003). “Instrumental Variables and GMM: Estimation And Testing”.The Stata Journal, 3(1): 1-31.
  • Branch, William A. (2004). “The Theory Of Rationally Heterogeneous Expectations: Evidence From Survey Data on Inflation Expectations”. Economic Journal, Royal Economic Society, 114 (497): 592–621.
  • Bruchez, Pierre Alain (2007). “A Hybrid Sticky-Price and Sticky-Information Model”. MPRA Paper, 3540.
  • Calvo, Guillermo A. (1983). "Staggered Prices in a Utility Maximizing Framework". Journal of Monetary Economics, 12: 383-398.
  • Carroll, Christopher D. (2001). “The Epidemiology of Macroeconomic Expectations”. NBER Working Papers, 8695.
  • Carroll, Christopher D. (2003). “Macroeconomic Expectations of Households and Professional Forecasters”. Quarterly Journal of Economics, 118 (1): 269‐298.
  • Ciobica, Iulian (2010). “Inflation Dynamics Under The Sticky Information Phillips Curve”. DOFIN Working Paper Series, 41.
  • Coibion, Olivier (2007). “Testing the Sticky Information Phillips Curve”. College of William and Mary Department of Economics Working Paper, 61.
  • Davidson, Russell and MacKinnon, James (1993). Estimation and Inference in Econometrics. Oxford University Press.
  • Döpke, Joerg et. all. (2008). “The Dynamics of European Inflation Expectations”. The B.E. Journal of Macroeconomics, 8(1): 1-23.
  • Dupor, Bill et. all. (2010). “Integrating Sticky Information and Sticky Prices”. The Review of Economics and Statistics, 92(3): 657-669.
  • Hippel, Eric von (1994). “Sticky Information and the Locus of Problem Solving: Implications for Innovation”. MIT Sloan School of Management Working Paper Published in Management Science, 40(4): 429-439.
  • Khan, Hashmat and Zhu, Zhenhua (2002). “Estimates of the Sticky-Information Phillips Curve for the United States, Canada, and the United Kingdom”. Bank of Canada Working Paper, 19.
  • Kiley, Michael (2006). “A Quantitative Comparison Of Sticky-Price And Sticky-Information Models Of Price Setting”. Federal Reserve Board Finance and Economics Discussion Series, 45.
  • Kitamura, Tomiyuki (2008). Macroeconomic Consequences of Sticky Prices and Sticky Information. Doctorate Thesis, The Ohio State University.
  • Knotek II, Edward S. (2006). “A Tale of Two Rigidities: Sticky Prices in a Sticky‐Information Environment”. FRB Kansas City Working Paper, 06‐15.
  • Korenok, Oleg (2005). “Empirical Comparison of Sticky Price and Sticky Information Models”. Virginia Commonwealth University Working Papers, 0501.
  • Mankiw, N. Gregory (2000), “The Inexorable and Mysterious Tradeoff Between Inflation and Unemployment.” NBER Working Paper, 7884, 1-30.
  • Mankiw, N. Gregory and Reis, Ricardo (2001). “Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve”. NBER Working Paper, 8290: 1- 47.
  • Mankiw, N. Gregory and Reis, Ricardo (2006). “Sticky Information in General Equilibrium”. NBER Working Paper, 12605.
  • Pickering, Andrew (2004). “Sticky Information and The Phillips Curve - A Tale of Two Forecasts”. The Economic And Social Research Council (ESRC) Project Working Papers, 8.
  • Reid, Monique and Rand, Gideon du (2013). “ A Sticky Information Phillips Curve For South Africa”. Economic Research Southern Africa (ERSA) 2nd Annual Workshop.
  • Reis, Ricardo (2006). “Inattentive Consumers”. Journal of Monetary Economics, 53 (8): 1761‐1800.
  • Reis, Ricardo (2008). “A Sticky-Information General Equilibrium Model For Policy Analysis”. Central Bank Of Chile Working Papers, 495.
  • Sims, Christopher A. (1998). “Stickness”. Carnegie-Rochester Conference Series on Public Policy, 49(1): 317-356.
  • Stock, James H. and Watson, Mark W (2003). “Forecasting Output and Inflation: The Role of Asset Prices”. Journal of Economic Literature, 41(3): 788-829.
  • Stock, James H. and Watson, Mark W. (2011). Ekonometriye Giriş. (Çev. Bedriye Saraçoğlu). New York: Prentice Hall.
  • Torres, Torres and Jose, Diego (2009). “The Dual Stickiness Model and Inflation Dynamics in Spain”. MPRA Paper, 18031.
Kocaeli Üniversitesi Sosyal Bilimler Dergisi (KOSBED)-Cover
  • ISSN: 1302-6658
  • Yayın Aralığı: Yılda 2 Sayı
  • Yayıncı: Kocaeli Üniv. Sosyal Bilimler Enst.
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Yapışkan bilgi modeli:Türkiye için bulgular1

Metin BERBER, Ezgi YILDIZ BADAY