The Role of Statistical Methods in Confirming or Refuting Economic Relationships: Inflation and Unemployment Rate as a Case Study

Authors

  • Lubna Jaafar Hussein Ibrahim University of Diyala, Department of Quality Assurance and University Performance
  • Suhaib Ya’rub Mohammed Ahmed University of Diyala, Department of Audit and Internal Control
  • Rami Raad Adnan University of Diyala, College of Administration and Economics

DOI:

https://doi.org/10.5281/

Keywords:

Statistical Methods, Confirming Economic Relationships, Refuting Economic Relationships

Abstract

This study aims to examine the relationship between the inflation and unemployment rates in Iraq during the period from 2004 to 2022, using a set of modern statistical and economic methods, including the stationarity test (Phillips–Perron), linear regression analysis, Granger causality test, and cointegration test (Johansen–Juselius). The research seeks to clarify the nature of the relationship between these two important economic variables, both in the short and long term, to determine whether this relationship aligns with what traditional economic theory and the Phillips curve suggest—namely, an inverse relationship between inflation and unemployment—or whether it differs under the specific conditions of the Iraqi economy.

References

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Published

2025-10-27

Issue

Vol. 46 (2025): CJZMI

Section

Articles

License

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How to Cite

The Role of Statistical Methods in Confirming or Refuting Economic Relationships: Inflation and Unemployment Rate as a Case Study. (2025). Czech Journal of Multidisciplinary Innovations, 46, 59-71. https://doi.org/10.5281/