Pooling time series and cross-sectional data: An Application to Turkish export demand analysis
Author(s)
Advisor
Aydoğan, KürşatDate
1989Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
162
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41
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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 dataMultiple Regression
Covariance Model
Least Squares
Dummy Variables
F tests