Question 1: Development is multidimensional

As we discussed in class, income per-capita is a good yardstick of development if it is strongly correlated with important indicators that directly measure wellbeing, such as education, health and gender equality. In this problem, you will empirically explore the strength of the relationships between income per capita and several indicators of womens empowerment and health using data from the World Bank. Go to the World Bank database of development indicators and download the following indicators for year 2020:

GDP per capita (constant 2015 US$): This measures the average income per person in a country Life expectancy at birth, total (years): This measures the number of years a newborn infant is expected to live given the prevailing conditions at the time of birth. Proportion of seats held by women in national parliaments for 2020. Make sure not to download data points for regions, such as Small states, World, East and Pacific, etc. Also, delete countries with missing values so you can clean up your data set and work with excel without errors. A. Generate two scatter plots with trend-lines: 1. Life expectancy against GDP per capita, and title this plot Figure A1: Life Expectancy vs GDP per capita for 2020. Use a logarithmic trendline to illustrate the correlation in this plot. 2. Proportion of women in national parliaments against GDP per capita, and title this plot Figure A2: Proportion of Women in National Parliaments vs GDP per capita 2020. Use a linear trendline to illustrate the correlation in this plot.

Figure A1

Figure A2

B. Comment on the trends in the above two graphs. What do you conclude about the relationship between each indicator and GDP per capita?

C. Identify the country with GDP per capita higher than $20,000 and the lowest life expectancy. Also, identify an outlier from Fig. 2A, comment, and hypothesize why this outlier is under/over performing compared to other comparable countries.