Urban Economic Analysis

This subject provides an introduction to quantitative data analysis for the social sciences, focusing on the data and techniques commonly used in economic analysis of cities. It develops understanding and skill in the use of the collection, interpretation, analysis, and representation of information. Students learn about common economic data available from secondary sources. Students learn the fundamentals of data analysis, including how to define units of analysis, develop appropriate quasi-experimental designs, and construct reliable and valid indicators. Students also learn techniques for analysing and interpreting economic data, as well as population forecasting techniques. Using the above data, students are introduced to basic statistical analysis of small-sample and large-sample data. Topics include descriptive statistics, confidence intervals and power, hypothesis testing, measures of association, and an introduction to regression techniques.