theconomist

[theconomist]

Graphs relation variables

According to this, we can see that the highest percentage are the countries that the income per person has a lower income than 2000 thousand dollars per year, followed by countries that have the highest income of 8000 thousand dollars. The first with 42.11% and the second one with 28.42%. They have the 70.43% of the global income given in the data. We can see the hugest gap of wealth.

According to this, we can see that the lowest percentage of the countries that employ female rate in employ with the range between 28% to 42%, followed by countries with a range between 14% to 28%. The first with 35.21% and the second one with 25.35%. They include 60.52%. On the other hand, the countries with the highest percentage that employ female rate in employ are the countries with more that 56% with female employ, have only the 5.16% of the total of the countries given in the data.

Moreover, with the bivariate graph, we can see two variables: income per person and the female employment rate in the employ. According to this, we can see that where there is higher density between those variables, are the range:

income: lower than 4000 dollars.

female employ: 20-40%.

This tries to show us that in middle-income countries, women have the participation of less than 50% of the total rate. The countries where the female rate is the highest are located between Africa and Asia, I explained which countries had the highest and the lowest female employ rate according to the data given.

[theconomist]

THIRTH CHAPTER

I will show the information worked in this third week. Here you can see that I created a new variable that contains two variables: employment and employment of women. In the following table you can see that there are only 14 countries out of 180 in which women have a greater participation in labor activity. These countries are: Burundi, Uganda, Madagascar, Rwanda, Mozambique, Guinea, Burkina Faso, Laos, Tanzania, Ethiopia, Cambodia, Angola, Iceland and China. The first with a participation of 69.3% and the latter with that of 50.15%. On the other hand, we can see that there are 11 countries where the rate of women employee are lower that 10% out the entire employee rate. Those countries are: West Bank and Gza, Iraq, Jordan, Syria, Egipt, Yemen Rep, Tunisia, Saudi Arabia, Macedonia FYR, Turkey and Pakistan. The first of this list with 3.61% and the last with 9.69%.

Now we can see that the participation of women has a huge gap between those countries. These countries of these two lists are mostly located between Africa and Asia.

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To see the relation between GDP per person and employee, you can take a look of the other publications I have made before.

[theconomist]

Running my first research by SAS

According to this,

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Now we can see that the lowest income per person was $103.78, the country where the GDP per capita was Congo, Dem. Rep., and the highest income per person was $105147.44 by Monaco in 2010. In this way, 50% of the lowest GDP per capita is under $2549.56.

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According to this, we can see that the place where the female employment rate is the lowest was in West Bank and Gaza with 11.3%; out of 100 females over 15 years of age, 12 of them are expected to work. Now, the highest rate was in Burundi with 83.3%; it means that out of 100 females over 15 years old, 84 of them are expected to work.

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Now, we can see that the percentage where the percentage of the employed rate is the lowest is in West Bank and Gaza with 32% of the inhabitants employed. Now, the highest rate of them was Burundi as well with 83.2% of people who are expected to work.

[theconomist]

The beginning of the research

The study I have chosen is the Gapmap in economic terms. So, the first option I want to relate with is the GDP per capita and the second topic is the employment rate which is included the female contribution to this index.

Some questions I want to answer through this research are:

· Are the GDP per capita related to the gap in economic terms?

· The Laboral market affects the GDP per capita and the gap as well?

Hypothesis:

· The inclusion of female employment in the Laboral market increases the GDP per capita, and this reduces the gap in economic and social terms.

In this way, to answer these questions and show and develop this hypothesis. The variables chosen are -the ones I have seen in the literature review-:

• GDP per capita

• Female employee

• Total employee

Bibliography

Ferrant, G., & A. Kolav. (2016). Does gender discrimination in social institutions matter for long-term growth?: Cross country evidence. OECD Development Centre Working Papers.

Fund, I. M. (2018). Pursuing Women's Economic Empowerment.

Kochhar, K., Jain-Chandra, S., & Newiak, M. (s.f.). Women, Work and Economic Growth. Washington D.C: International Monetary Found, Publication Services.

Lagarde, C., & D. Ostry, J. (2018). Economic Gains from Gender Inclusion: Even Greater than You Thought. IMFBlog.

OECD. (2012). Gender Equality in Education, Employment and Entrepreneurship: Final Report to the MCM.

PwC. (2018). Women in Work Index 2018.

See, C., & Teignier, M. (2016). Aggregate Effects of Gender Gaps in the Labor Market: A Quantitative Estimate. Journal of Human Capital, págs. 1-32.

Tiwari, A. (2020). Can increase in female labor force participation lead to an increase in GDP? LiknedIn.

Weinstain, A. (2017). Working women in the city and urban wage growth in the United States. Journal of Regional Science, Volume 57, Issue 4 p. 591-610.

Weinstein, A. (2018). When More Women Join the Workforce, Wages Rise — Including for Men. Harvard Business Review.

WOMEN, U. (2015-2016). Progress of the World's Women.

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