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jeasiq-1886
Econometrics of the impact of financial inclusion on banking stability in Iraq
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        Financial inclusion refers to the access of financial services at low cost and high-quality from the formal financial sector to all segments of society, especially marginalized groups, and then use and benefit from them. Financial inclusion is also associated with banking stability, as well as with financial integrity and financial protection for the consumer, therefore, it achieves a number of objectives, the most important of which is to support and enhance banking stability. This is what made it attract the attention of many countries and central banks recently.

     The study aims to show the impact of financial inclusion indicators on banking stability in a sample consisting of 32 private banks in the Iraqi banking sector for the period from the first half of 2016 to the second half of 2018, according to the hypothesis of the study, which went on to have a positive impact of financial inclusion indicators on Bank stability index, as the study was based on the data of the payments department of the Central Bank of Iraq as well as periodic reports of the sample banks. Using Panel Data Dynamic, specifically the generalized method of moments -GMM, the results did not fully accept the hypothesis and some indicators of financial inclusion such as the number of bank branches and the size of deposits negative effect on banking stability. In addition, the impact of money credit and the number of bank accounts for the corporate on the stability index is not established, except for the number of bank accounts for individuals, the results of the estimate showed a significant positive effect.

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Publication Date
Thu Feb 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
تناول البحث تطورات بنية الانفاق الحكومي للمدة (1990-2014) اذ تشمل هذه المدة مدتين مختلفتين من حيث الظروف اذ اتسمت المدة الاولى (1990-2002) بفرض العقوبات الاقتصادية وحرمان الاقتصاد العراقي من المورد النفطي ,في حين اتسمت المدة الثانية (2003-2014) بوفرة ال
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  The research explain the developments in the structure of government Expenditure for the period (1990-2014), this period include tow different periods in terms of the conditions, the first period (1990-2002)characterized by imposing the economic sanctions and deny the Iraqi economy from the oil revenues, while the second period (2003-2014) marked by abundance resource rents as a result of lifting the ban on oil exports, (autoregressive Distributed lag Model) has been used to measure the impact of government Expenditure in both side current and investment in the oil-GDP (gross domestic product) and non oil-GDP, the stady found that there is no significant relationship between current Expenditure in non-oil and oil-GDP in bo

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Publication Date
Thu Feb 01 2018
Journal Name
Journal Of Economics And Administrative Sciences
Comparison Some Robust Estimators for Estimate parameters logistic regression model to Binary Response – using simulation)).
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 The logistic regression model of the most important regression models a non-linear which aim getting estimators have a high of efficiency, taking character more advanced in the process of statistical analysis for being a models appropriate form of Binary Data.                                                          

Among the problems that appear as a result of the use of some statistical methods I

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Publication Date
Sun Dec 01 2019
Journal Name
Journal Of Economics And Administrative Sciences
Use Generalized Pareto Survival Models to Estimation Optimal Survival Time for Myocardial Infarction Patients
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The survival analysis is one of the modern methods of analysis that is based on the fact that the dependent variable represents time until the event concerned in the study. There are many survival models that deal with the impact of explanatory factors on the likelihood of survival, including the models proposed by the world, David Cox, one of the most important and common models of survival, where it consists of two functions, one of which is a parametric function that does not depend on the survival time and the other a nonparametric function that depends on times of survival, which the Cox model is defined as a semi parametric model, The set of parametric models that depend on the time-to-event distribution parameters such as

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