Modeling the trend of Iraqi GDP for 1970-2020

Ahlam Hanash Gatea, Nazik J. Sadik, H. A. Rasheed
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Abstract

The study of economic growth indicators is of fundamental importance in estimating the effectiveness of economic development plans, as well as the great role it plays in determining appropriate economic policies in order to optimally use the factors that lead to the dynamics of growth in Iraq, especially during a certain period of time. The gross domestic product (GDP) at current prices), which is considered a part of the national accounts, which is considered as an integrated dynamic of statistics that produces in front of policy makers the possibility of determining whether the economy is witnessing a state of expansion or evaluating economic activity and its efficiency in order to reach the size of the overall economy. The research aims to determine the best and most efficient statistical model to be used in forecasting the GDP in Iraq based on time series data for the period from (1970-2020) years. Where the general trend models (Linear trend, Quadratic trend and Exponential Trend) were applied, and the three models were compared to choose the best model using some statistical criteria, including the Akiaki Information Standard (AIC) and Schwartz Standard (SBS). The results showed that the appropriate model is the Quadratic trend model, were predicting and forecasting values are close to the real values of the GDP series.
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伊拉克1970-2020年国内生产总值趋势建模
研究经济增长指标对于评估经济发展计划的有效性以及它在确定适当的经济政策以最佳利用导致伊拉克增长动态的因素方面发挥的重要作用至关重要,特别是在一定时期内。国内生产总值(按当前价格计算),被视为国民账户的一部分,被视是一种综合统计动态,在决策者面前产生了确定经济是否处于扩张状态或评估经济活动及其效率以达到整体经济规模的可能性。该研究旨在根据(1970-2020)年的时间序列数据,确定用于预测伊拉克国内生产总值的最佳和最有效的统计模型。应用一般趋势模型(线性趋势、二次趋势和指数趋势),并使用一些统计标准(包括Akiaki信息标准(AIC)和Schwartz标准(SBS))对这三个模型进行比较,以选择最佳模型。结果表明,合适的模型是二次趋势模型,预测值与GDP序列的实际值接近。
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
140
审稿时长
7 weeks
期刊介绍: *Industrial Engineering: 1 . Ergonomics 2 . Manufacturing 3 . TQM/quality engineering, reliability/maintenance engineering 4 . Production Planning 5 . Facility location, layout, design, materials handling 6 . Education, case studies 7 . Inventory, logistics, transportation, supply chain management 8 . Management 9 . Project/operations management, scheduling 10 . Information systems for production and management 11 . Innovation, knowledge management, organizational learning *Mechanical Engineering: 1 . Energy 2 . Machine Design 3 . Engineering Materials 4 . Manufacturing 5 . Mechatronics & Robotics 6 . Transportation 7 . Fluid Mechanics 8 . Optical Engineering 9 . Nanotechnology 10 . Maintenance & Safety *Computer Science: 1 . Computational Intelligence 2 . Computer Graphics 3 . Data Mining 4 . Human-Centered Computing 5 . Internet and Web Computing 6 . Mobile and Cloud computing 7 . Software Engineering 8 . Online Social Networks *Electrical and electronics engineering 1 . Sensor, automation and instrumentation technology 2 . Telecommunications 3 . Power systems 4 . Electronics 5 . Nanotechnology *Architecture: 1 . Advanced digital applications in architecture practice and computation within Generative processes of design 2 . Computer science, biology and ecology connected with structural engineering 3 . Technology and sustainability in architecture *Bioengineering: 1 . Medical Sciences 2 . Biological and Biomedical Sciences 3 . Agriculture and Life Sciences 4 . Biology and neuroscience 5 . Biological Sciences (Botany, Forestry, Cell Biology, Marine Biology, Zoology) [...]
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