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      • Theses - Department of Management
      • Dept. of Management - Master's degree
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      Pooling time series and cross-sectional data: An Application to Turkish export demand analysis

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      Author(s)
      Ural, A Süreyya
      Advisor
      Aydoğan, Kürşat
      Date
      1989
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      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.
      Keywords
      Pooling Time Series and Cross Sectional data
      Multiple Regression
      Covariance Model
      Least Squares
      Dummy Variables
      F tests
      Permalink
      http://hdl.handle.net/11693/17143
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      • Dept. of Management - Master's degree 318
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