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التنبــؤ بالارقام القياسية لاسعار المستهلك في العراق == Forecasting The Consumer Price Index Number In Iraq
Author name:
غادة مصطفى عطا
Supervisor name:
احمد ذياب احمد العزاوي
General topic:
Administration and Economics
Specific topic:
Applied Statistics
Degree:
Higher Diploma
University:
University of Baghdad - Faculty Of Administration And Economics - Department Of Statistics
Language:
Arabic
University location:
Baghdad
First pages:
07T3924 - p.pdf
Abstract:
يعد الرقم القياسي لاسعار المستهلك واحدا من اكثر الادوات الاحصائية استعمالا لقياس التضخم في اقتصاد اي بلد، والهدف الرئيسي من احتساب هذا الرقم القياسي هو رصد التغيرات التي تطرا على اسعار السلع والخدمات وذلك لتقدير التغير في القوة الشرائية لوحدة النقود وم | The Consumer Price Index (CPI) is one of the most widely used statistical tools to measure inflation in a country’s economy, the main objective of calculating this index is to monitor changes in the prices of goods and services in order to estimate the change in the purchasing power of money and the subsequent amendment to the wages and the prices on some services to ensure the stability of their purchasing power.Iraq's economy has been suffering for a long time of continuous increase in most of goods and services prices in the local market due to internal and external many factors which led to the deterioration in economic development and have negative impact on economic and social life of consumers specially those who have fixed and limited income، therefore Knowledge of the movement and trends in prices of goods and services in the future will help the planners and decision - makers to put financial and productivity suitable policy to achieve stability in domestic prices.Whereas this research aims to forecasting of the consumer price index numbers in Iraq starting from (January 2015 - December 2016) and for the twelfth commodity groups according to “Classification of Individual Consumption by Purpose (COICOP) " throughout using way of time series analysis based upon monthly data for the period (2009 - 2014) that are taken from Central Bureau of Statistical Organization considering year 2007 as the base year because this year is economically stable.Data has been analyzed by using time series cross by Box - Jenkins methodology (Identification, parameters estimation, diagnostic checking model, forecasting) reliance on statistical program ( Gretl - 1.1), the results of analysis showed that after comparison between Box - Jenkins models per each series based on Akaike Information Criterion(AIC), Schwartz Bayesian Criterion (SBC), The best forecasting model of consumer prices index numbers for commodity groups twelve are as follows :
