USING QUANTILE REGRESSION IN THE ANALYTICAL STUDY TO MINIMIZE THE EFFECT OF RANDOM VALUES TO ESTIMATE THE ECONOMIC INFLATION RATES IN IRAQ IN 1975 – 2012 PERIODS AND THE COMPARATIVE PERIODS BEFORE AND AFTER THE 2003 WAR

Nasradeen Salih ()
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Nasradeen Salih: University of Duhok

Yearbook of the Faculty of Economics and Business Administration, Sofia University, 2018, vol. 16, issue 1, 231-268

Abstract: Summed up this paper in how to estimate the annual economic inflation rates in Iraq for the years 1975 – 2012 using quantile regression which is based on inverse of cumulative function instead of the method of ordinary least squares where random values play a prominent role in getting square error rate high rate and thus in the results of the dependent variable estimated by the latest, the researcher believes that the independent variables of the four money supply and GDP and the exchange rate and interest rate have an impact on annual economic inflation rates, as the researcher has used two consecutive periods (1975 – 2002, 2003 – 2012) which are before and after the third Gulf War in order to study the impact of war on Iraqi economic inflation in that periods.

Keywords: quantile regression; economic inflation rates (search for similar items in EconPapers)
Date: 2018
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