Assignment #1 - Data Management and Visualization



This post is created as a requirement of Data Management and Visualization course on Coursera

Data Management and Visualization


I would like to work with the OECD data for my research about the employment rate by sex and education level.

First, I wanted to examine the correlation between education and the employment rate. Then, I want to map out the female employment rate.

Research Question:

Is higher education is associated with a higher employment rate? And, is sex a variable for employment?
 

Hypothesis:

There is a positive relationship between educational level and employment rate. Higher education level is associated with a higher employment rate. However, women with higher education have a lower employment rate.

The variables including employment rate by sex and education rate.


Variable Table:


My Codebook:
  • Variable as the Unique Identifier: Country
  • Variable for Employment Rate: Employment Rate (by Sex)
  • Variable for Educational Level: Adult Educational Rate, Employment by Education Level (by Sex)

Employment Rate:

Employment rates are defined as a measure of the extent to which available labor resources (people available to work) are being used. They are calculated as the ratio of the employed to the working-age population. The working-age population refers to people aged 15 to 64. This indicator is seasonally adjusted and it is measured in terms of thousand persons aged 15 and over and in numbers of employed persons aged 15 to 64 as a percentage of the working-age population.

 Source: https://data.oecd.org/emp/employment-rate.htm



Adult education level

• Education

This indicator looks at adult education level as defined by the highest level of education completed by the 25-64-year-old population. There are three levels: below upper secondary, upper secondary, and tertiary education. Upper secondary education typically follows the completion of lower secondary schooling. Lower secondary education completes the provision of basic education, usually in a more subject-oriented way and with more specialized teachers. The indicator is measured as a percentage of same age population; for tertiary and upper secondary, data are also broken down by gender.

Source: https://data.oecd.org/eduatt/adult-education-level.htm 



Employment by education level

This indicator shows the employment rates of people according to their education levels: below upper secondary, upper secondary non-tertiary, or tertiary. The employment rate refers to the number of persons in employment as a percentage of the population of working age. The employed are defined as those who work for pay or profit for at least one hour a week, or who have a job but are temporarily not at work due to illness, leave or industrial action. This indicator measures the percentage of employed 25-64 year-olds among all 25-64 year-olds.

Literature Review

Search Terms Used: Educational Level, Employment Rate, Male Employment Rate, Female Employment Rate.



Source: OECD (2021), Employment by education level (indicator). doi: 10.1787/26f676c7-en (Accessed on 08 March 2021)



Source: OECD (2021), Employment rate (indicator). doi: 10.1787/1de68a9b-en (Accessed on 08 March 2021)

OECD (2012), “How does education affect employment rates?”, in Education at a Glance 2012: Highlights, OECD Publishing, Paris.


Summary of Findings:

Education has a significant impact on the employment rate. People with higher levels of education have better jobs. In all OECD countries, tertiary graduates are more likely to be in work than non-graduates. However, when we examine the relationship between sex and educational level, we see that women have lower employment rates than men.





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