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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

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  • Nasradeen Salih

    (University of Duhok)

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.

Suggested Citation

  • Nasradeen Salih, 2018. "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," Yearbook of the Faculty of Economics and Business Administration, Sofia University, Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria, vol. 16(1), pages 231-268, December.
    • Handle: RePEc:sko:yrbook:v:16:y:2018:i:1:p:231-268
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    References listed on IDEAS

    as
    1. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    2. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
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