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The Stepwise Regression Model For Study The Unemployment Rate In Iraq

Author

Listed:
  • Ali Sadiq Mohommed BAGER
  • Bahr Kadhim MOHAMMED
  • Hajem Ati Daham
  • Sadiq AL-HUSSEINY

Abstract

One of the most important problems facing the Iraqi economy is the problem of unemployment, which has risen in recent years. This paper will focus on determining the most important macroeconomic factors, which affect the unemployment rate in Iraq, using the stepwise regression as one of the most widely used methods for variables selection. The results were compared with those obtained from the ordinary least squares (OLS) method in order to obtain the must possible model which illustrate the examined phenomenon. We find that unemployment in Iraq seems to be affected by economic growth, volume of inflation, average number of foreign workers, average worker age and size of the population.

Suggested Citation

  • Ali Sadiq Mohommed BAGER & Bahr Kadhim MOHAMMED & Hajem Ati Daham & Sadiq AL-HUSSEINY, 2019. "The Stepwise Regression Model For Study The Unemployment Rate In Iraq," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 811-815, November.
    • Handle: RePEc:rom:mancon:v:13:y:2019:i:1:p:811-815
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    References listed on IDEAS

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    1. Ali BAGER & Monica ROMAN & Meshal ALGELIDH & Bahr MOHAMMED, 2017. "Addressing Multicollinearity In Regression Models: A Ridge Regression Application," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 6(1), pages 30-45, JULY.
    2. Jaba, Elisabeta & Balan, Christiana & Roman, Mihai & Roman, Monica, 2010. "Statistical evaluation of spatial concentration of unemployment by gender," MPRA Paper 25161, University Library of Munich, Germany, revised May 2010.
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    2. Ali BAGER & Monica ROMAN & Meshal ALGELIDH & Bahr MOHAMMED, 2017. "Addressing Multicollinearity In Regression Models: A Ridge Regression Application," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 6(1), pages 30-45, JULY.

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