The robust M method was used to estimate the Poisson regression model for the number of unemployed persons in Iraq

Abstract

The Poisson regression model is one of the important enumeration models, as it was used to model much population, economic and health phenomena. Because of the presence of outliers in the data, the robust M method was used to estimate the parameters of this model, based on data for the unemployed in Iraq as a variable in response to the period (2004-2021) and the annual population growth rate as the first explanatory variable and the annual inflation rate as a second explanatory variable and within the same period, where The results revealed the association of these variables with a significant relationship with an inverse effect with the response variable.