blog




  • Essay / Correlation factors between poverty and having...

    SummaryThis report analyzes social and economic factors such as the risk of poverty, the employment rate and the population having completed at least the second cycle of secondary education. In this report you will find data summary, descriptive statistics, correlation and regression analysis, which show that poverty has a slight negative relationship with employment rate and a negative relationship with education. So, this means that if countries increased the employment rate and the number of people completing secondary education, they would be able to reduce the poverty level in the countries. IntroductionOne of the contemporary challenges facing policy makers is the incidence and spatial concentration of poverty. The multiple dimensions of poverty include: employment levels, education, incidence of poor health, poverty levels and macroeconomic conditions. In this report, we will examine two of them: employment rate and education to determine whether countries can reduce the level of poverty by increasing the employment rate and increasing the number of people who complete at least the second cycle of secondary education. Additionally, we will find out what is more important to increase the employment rate or increase the number of people who complete secondary education in order to reduce the poverty level in countries. To find out all these things, we will summarize the information, using descriptive statistics, test the relationship between variables using correlation and regression which will answer our questions. Sources All data in this report comes from the leading provider of high-quality statistics on Europe - Eurostat. Eurostat is the statistical office of the European Union located in Luxembourg. Its mission is to provide the European Union with statistics at European level allowing comparisons between countries and regions (Eurostat). People at risk of poverty or social exclusion – measure people living in conditions severely constrained by a lack of resources or a person whose household income per consumption unit is less than 60 percent of the median income and is considered living in poverty (Stat 2013). However, this measure poses some problems. First, these measures do not identify certain groups, for example people living in institutions, the homeless or migrants. Second, it is difficult to compare between countries based on deprivation indicators: for example, having a warm coat may be necessary in a country where it is cold but not necessary where it is hot (Eapn). Data is for 2011. The employment rate corresponds to the number of people aged 20 to 64 who are employed as a proportion of the population. However, this measure poses some problems.