[1. Anderson, R. G., Jones, B. E., & Nesmith, T. D. (1997a). Introduction to the St. Louis Monetary Services Index Project. The Federal Reserve Bank of St. Louis Review, 79(1), 25-29.10.20955/r.79.25-30]Search in Google Scholar
[2. Anderson, R. G., Jones, B. E., & Nesmith, T. D. (1997b). Monetary Aggregation Theory and Statistical Index Numbers. The Federal Reserve Bank of St. Louis Review, 79(1), 31-51.10.20955/r.79.31-52]Search in Google Scholar
[3. Anderson, R. G., Jones, B. E., & Nesmith, T. D. (1997c). Building New Monetary Services Indexes: Concepts Data and Methods. The Federal Reserve Bank of St. Louis Review, 79(1), 53-82.10.20955/r.79.53-82]Search in Google Scholar
[4. Bai, J., & Perron, P. (2003). Computation and Analysis of Multiple Structural Change Models. Journal of Applied Econometrics, 6, 72-78.10.1111/1368-423X.00102]Search in Google Scholar
[5. Barnett, W., A. (1978). The User Cost of Money. Economics Letters, 1, 145-149.10.1016/0165-1765(78)90051-4]Search in Google Scholar
[6. Barnett, W., A. (1980). Economic Monetary Aggregates: An Application of Index Number of Aggregation Theory. Journal of Econometrics 14, 11-48.10.1016/0304-4076(80)90070-6]Open DOISearch in Google Scholar
[7. Barnett, W. A., & Chauve, M. (2008). International financial aggregation and index number theory: a chronological half-century empirical overview. Manuscript, University of Kansas.10.1007/s11079-008-9099-z]Search in Google Scholar
[8. Bernanke, B. S. (1986). Alternative Explanations of the Money-Income Correlation. In K. Brunner and A. Meltzer, eds., Real Business Cycles, Real Exchange Rates, and Actual Policies, Carnegie-Rochester Conference Series on Public Policy, no. 25, Amsterdam, North-Holland.10.3386/w1842]Search in Google Scholar
[9. Blanchard, O. J., & Watson, M. (1986). Are All Business Cycles Alike? The American Business Cycle: Continuity and Change. Edited by Robert J. Gordon. (pp. 123-156). Chicago: University of Chicago Press.]Search in Google Scholar
[10. Chrystal, A. K., & MacDonald, R. (1994). Empirical Evidence on the Recent Behavior and Usefulness of Simple-Sum and Weighted Measures of the Money Stock. Federal Reserve Bank of St. Louis Review, 73-109.10.20955/r.76.73-109]Search in Google Scholar
[11. Çelik, S. (1999). Divisia Monetary Aggregates: An Empirical Investigation of Their Usefulness for Turkey. Unpublished PhD Dissertation, University Of Nebraska.]Search in Google Scholar
[12. Gottschalk, J. (2001). An Introduction into the SVAR Methodology: Identification, Interpretation and Limitations of SVAR models, Kiel Working Paper, 1072.]Search in Google Scholar
[13. Gürkaynak, R., S., Kantur, Z., Taş A., M., & Yıldırım, S. (2015). Monetary Policy in Turkey after Central Bank interdependence. CSF Working Paper Series. Center for Financial Series 520, 10.2139/ssrn.2694472]Search in Google Scholar
[14. Ishida, K. (1984). Divisia Monetary Aggregates and Demand for Money: A Japanese Case. Bank Japan Monetary and Economic Studies. 49-80.]Search in Google Scholar
[15. Karaman, D. (2009). An Empirical Study of Simple Sum and Divisia Monetary Aggregation: A Comparison of Their Predictive Power Regarding Prices and Output in Turkey. Unpublished PhD Dissertation, Kansas University.]Search in Google Scholar
[16. Keating, J., W. (1992). Structural Approaches to Vector Autoregressions. Federal Reserve Bank of St. Louis Review. 37-57.10.20955/r.74.37-57]Search in Google Scholar
[17. Keating, J. W., Logan J. K., & Victor J. V. (2014). Solving the Price Puzzle With an Alternative Indicator of Monetary Policy. Economics Letters. 124, 188-194.10.1016/j.econlet.2014.05.012]Search in Google Scholar
[18. Kilian, L. (2013). Structural Vector Autoregressions. In N. Hashimzade and M.A. Thornton, eds., Handbook of Research Methods and Applications in Empirical Macroeconomics, (pp. 515-55) Edward Elgar.10.4337/9780857931023.00031]Search in Google Scholar
[19. Kunter K. (1993). Turkiye’deki Parasal Buyuklukler icin indeks ve Bileşim Teorisinin Bir Uygulaması: Divisia ve Fisher indeksi. CBRT Discussion Papers, 1993. (in Turkish)]Search in Google Scholar
[20. Rua, A. (2010). Measuring comovement in the time-frequency space. Journal of Macroeconomics 32(2), 685-691.10.1016/j.jmacro.2009.12.005]Search in Google Scholar
[21. Özmen, U. M., & Sevinç, O. (2011). Price Rigidity in Turkey: Evidence from Micro Data. Working Paper Series. Central Bank of Turkey No.11/25, ]Search in Google Scholar
[22. Sims, C. A. (1980). Macroeconomics and Reality. Econometrics, 48, 1-48.10.2307/1912017]Search in Google Scholar
[23. Sims, C., A. (1986). Are forecasting models useful for policy analysis. Federal Reserve Bank of Minneapolis Quarterly Review 10, 2-16.10.21034/qr.1011]Search in Google Scholar