YĆ¼lek, Murat Ali2016-01-082016-01-081990http://hdl.handle.net/11693/17276Ankara : Department of Economics and the Institute of Economics and Social Sciences of Bilkent University, 1990.Thesis (Master's) -- Bilkent University, 1990.Includes bibliographical references leaves 40-41This study aims at estimating the velocity function, for Turkey using quarterly data. Estimation is done using cointegration and error correction methods. This enabled incorporating short-term disequilibria moments in long run equilibrium. The analysis starts with examination of level of integration of series in question. Then a number of cointegrating regressions are run. Cointegrated series are employed in different "lag-rich" error correction formulations. Finally using a general to specific approach, parsimonious models are reached dropping insignificant regressors.42 leavesEnglishinfo:eu-repo/semantics/openAccessCointegrationLevel of integrationStationarityError correction modelReparameterisationAdaptive ExpectationsAuto-regressive distributed lag modelVector auto-regressionHG226.5 .Y85 1990Demand for money--Econometric models.Demand for money--Turkey.Money supply--Turkey.Cointegration.Estimation of velocity function for Turkey using Engle-Granger two-step methodThesisBILKUTUPB023078