Modeling robust regression to factors affecting the exchange rate of Iraqi Dinar
DOI:
https://doi.org/10.21533/pen.v8.i2.1091Abstract
Regression analysis is an important statistical tool iteration used, applied in scientific and practical studies. It is considered the method of least squares most methods of estimating the regression model. However, they are affected when there are outlier values in the data of the research. Hence, it is necessary to find robust methods to estimate the regression model.
In this paper, a robust regression model for the exchange rate was built based on influencing factors of GDP, inflation, exposure index and trade. The robust model was found to be more accurate in the Data Visualization, and the conclusions were consistent with economic theory.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
