Government expenditure represents one of the controlling financial policies in the economic affairs and management of the economic cycle in order to achieve price stability, raise the rate of output growth and decrease the level of unemployment. The price stability represents one of the macroeconomic goals that all countries seek without exception, regardless of the economic philosophy adopted by each country; in addition to this is raising the productive capacity and reaching the actual output to the level of the expected output, that is, the level of output related to the natural unemployment rate or what is sometimes called the Non-inflationary unemployment rate. The restriction of government expenditure (G=T+∆B/iP+∆M/P) is one of the main indications of the transformation in government expenditure from an independent variable to a dependent variable of a set of basic variables in the national economy. The general nature of government expenditure in the Iraqi economy during the research period 1991- 2015, is consumer spending during two different periods in the economic direction of the Iraq state; it represented the first period 1991-2003, while the second period represented was 2004-2015, which deepened this consumption trend. The problem of inflation in the Iraqi economy is one of the most serious problems facing developed countries; so how is the situation in a developing country like Iraq?
Estimation of the Effect of the
Government Expenditure Growth
Rate on the Rate of Inflation in the
Iraqi Economy for the Period (1991-
2015)
Government spending
non-inflationary unemployment rate
Philips
curve
unexpected inflation.
Publication Date
Mon Jun 05 2023
Journal Name
Journal Of Economics And Administrative Sciences
Fuzzy Bridge Regression Model Estimating via Simulation
Fuzzy linear regression
Fuzzy least squares method
Fuzzy Bridge regression
multicollinearity
triangular fuzzy numbers
Variance Inflation Factor.
الانحدار الخطي الضبابي
طريقة المربعات الصغرى الضبابية
انحدار الجسر الضبابي
التعدد الخطي
الأرقام الضبابية المثلثية
عامل تضخم التباين.
The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin
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