Browsing by Subject "Structural Change"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    ItemOpen Access
    The demand for meat in Turkey, 1979-1989
    (1990) Yıldırım, Jülide
    In this study , pooling of time series cross sectional data is used for constructing a demand model for the Turkish Meat Market. The demand functions are simultaneously estimated by Zellner's Seemingly Unrelated Regression Method, imposing homogeneity and symmetry restrictions. Furthermore, a structural change test is conducted in order to see whether there is a structural change between the subperiods 1979-1984 and 1985-1989. It is found that demand functions do not satisfy homogeneity restriction, implying that there is money illusion. A structural change is found in the demand for mutton implying there is a change in consumers' preferences between two subperiods.
  • Thumbnail Image
    ItemOpen Access
    Detecting structural change when the change point is unknown
    (1995) Başçı, Sıdıka
    There are various tests which are used to detect structural change when the change point is unknown. Among these widely used ones are Cumulated Sums (CUSUM) and CUSUM of Squares tests of Brown, Durbin and Evans (1975), Fluctuation test of Sen (1980) and Ploberger, Krämer and Kontrus (1989). More recently, Andrews (1990) suggests Sup F test and shows that it performs better than the above stated tests in terms of power. The problem with these tests is that they all assume stable variance although the regression coefficients change while moving from one regime to the other. In this thesis, we relax this assumption and suggest an alternative test which also allows heteroskedasticity. For this aim, we follow the Bayesian approach. We also present some of the Monte Carlo study results where we find that Bayesian test has superiority over the above stated tests in terms of power.