Ural, A Süreyya2016-01-082016-01-081989http://hdl.handle.net/11693/17143Cataloged from PDF version of article.Includes bibliographical references leaves 46.In this study. Pooling of time series and cross sectional data is used for constructing a demand model for the Turkish Exports. Two regression models are employed and compared by their fitness to the proposed pooling arrangements and demand relations. 25 Year time series (1963-1985) and cross sectional data covering top 10 exporters from Turkey are used for this purpose. Multiple regression analysis is conducted over different pooling arrangements and properness of pooling and fitness of model is tested by means of a series of F tests.viii, 47 leaves, illustrationsEnglishinfo:eu-repo/semantics/openAccessPooling Time Series and Cross Sectional dataMultiple RegressionCovariance ModelLeast SquaresDummy VariablesF testsHB801 .U7 1989Demand (Economic theory)--Economic models.Demand functions (Economic theory).Econometrics.Economics--Mathematical models.Time-series analysis--Mathematical models.ThesisBILKUTUPB004861