Econometric Evaluation of the İmpact of Education Level and Science in Poverty Rate : The Case of Azerbaijan

The article covers education, science and poverty levels indicators, the exchange rate of the manat, per capita income and other indicators. The indicators were examined and correlation analysis was conducted to identify the factors that significantly affect the poverty rate. The poverty rate was econometrically assessed in the Azerbaijani example. It was found that the share of secondary special education institutions graduates and university graduates per 10,000 people, the number of articles per 1 million people in basic science and engineering indexed in Web of Science, per capita income reduces the country's poverty rate, while the increase in the manat against the dollar increases poverty rate. It was determined that the share of secondary school and vocational school graduates per 10,000 people did not have a statistically significant impact on the country's poverty rate. The dataset is based on data from national and international official statistics and covers the years 2001-2019