دسته بندی علمی – پژوهشی : پیش‌ بینی اثر جهانی‌ شدن بر سطح اشتغال در ایران با استفاده …

تعیین وقفه‌ی بهینه با توجه به نرم افزار ‌Eviews

Abstract

Globalization is an unavoidable process and it affects economical variables, such as employment level. And it is necessary to use perfect instruments to investigate and forecast that effects. In this thesis we have used as the economic openness index.
For investigate and forecast the value of the economic openness on employment level in Iran, Artificial Neural Networks were used. Artificial Neural Networks were created based on human’s brain and are calculative methods that help to estimate functions and clasify various data.
Artificial Neural Networks show that increasing of the economic openness leads to decreasing of emoloyment level. results show that, if the values of real output, real wage rate and real user cost of capital were fixed in their average values, the decreasing of employment level for each 0.1 increasing in the economic openness index, by three different methods are around 698000, 517000 and 465700 people.
KeywordsEconomic Globalization, Employment Level, The Economic Openness Index, Artificial Neural Network
JEL: J23,F02
Shahid Bahonar University of Kerman
Facualty of Management and Economics
Department of Economics
Forecasting the Impact of Globalization on the Employment Level in Iran with Artificial Neural Network
Supervisor:
Dr. Hosein Akbari Fard
Advisor:
Dr. Seyed Abdolmajid Jalaee
Prepared by:
Seyed Farzad Moosavi
A Thesis Submitted as a Partial Fulfillment of the Requirements for the Degree of Master of Scince in Economics (M.Sc)
February 2011
. Ghazelayagh ↑
. Lee ↑
Foreign Policy ↑
. Level of International Trade ↑
. Integration of International Trade ↑
. Trade Openness Index ↑
. Fraser ↑
. Group Method of Data Handling ↑

  1. White ↑
  2. Beyer ↑

. Rojas ↑
. Vergara ↑
.Gauss ↑

  1. Jerger ↑

۳ .Aniceto ↑
۴ .Orbeta ↑

  1. Cigno ↑
  2. Rosati ↑