# Month: December 2015

## Logistics Regression on Economic Development

Last lesson of Regression Modelling in Practice… If you have been following along with my work, you will know that I am interested in the relationship between urbanization and economic development and am posing the general question of whether urbanization drives economic growth? Through the past two courses, Data Analysis Tools and Data Management and Visualization, I looked at the correlation between urbanization and economic development and established that there was a correlation between urban population and GDP per capita. For this last assignment in the course Regression Modelling in Practice, I am again examining GDP per Capita as the response variable. I am using the new data set I created in the last assignment from Gapminer, which as  I explained, holds a more complete set of data if I used the year 2007 instead of 2010. As a logistic regression is performed on a categorical response variable with two levels and multiple explanatory variables, I had to bin GDP per Capita into two and recode them: 0 = Countries with a GDP per Capita less than …

## Employment and Urbanization

Continuing with Regression Modelling in Practice… If you have been following along with my work, you will know that I am interested in the relationship between urbanization and economic development and am posing the general question of whether urbanization drives economic growth? Through the past two courses, Data Analysis Tools and Data Management and Visualization, I looked at the correlation between urbanization and economic development and established that there was a correlation between urban population and GDP per capita. For this assignment, I decided to look at another measure of economic development – employment rate. However, because data for 2010 is unavailable for some of the new variables I wanted to include, I decided to use data from the year 2007. It is the most recent year where I get the most data for all my variables. For each of the variables, I downloaded data directly from Gapminder and extracted the relevant information for 2007 and compiled a new CSV file. I define my response variable as Employment Rate in 2007. Now that my data …

## Coming Together, Falling Apart

In reality, equilibrium is only an observation over a large scale of time, but at any specific time period, things are more like a pendulum, swinging from one end of the spectrum to the next. Looking at the world today, and the violent conflicts that seem to escalate in scale, it would appear that the world has forgotten the horrors of war – the incredible devastation of the two World Wars that obliterated most of Europe – and the resulting need for international unity and harmony. As the old Chinese saying goes “after a long time together, it ought to separate, after a long time divided, it ought to come together”. In many ways, if we look at the history of the world, that is exactly how things play out. The world gets smaller, then it divides and feels farther apart. The Macedonian Empire disintegrated into separate polities, only to reunite again under the Romans. The Mongolian tribes were brought together into the largest empire ever seen only to fall apart. In some ways, faced with …