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In section 3, we apply the methodology to Turkish data and present both the estimated output gap series and the estimated time varying parameters, interpreting them in view of developments in the Turkish economy in the last decade. The high resolution of the simulations provide information concerning the detailed spatial patterns in time varying concentration distributions that are dependent on the distribution of pesticide loadings around the perimeter of the basin. If the coefficients of the regression are time varying but are estimated as constant, the resulted residual series will be heteroscedastic. |
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