Introduction to Quantitative Analysis Using STATA

1. Introduction: Don’t skip the descriptives

2. STATA Introduction: Setting up STATA, loading data, browsing and modifying data, .do files, .ado files and .log files

·      Customising STATA

·      Using help

·      Updating STATA

·      Using the log function and .do files

·      STATA journal & Google

Break at appropriate point

3. STATA Data Management: Working with data in STATA: Organising and working with data

·      Taking a first look and the basics

·      Data management

·      Data transformations

Lunch

4. STATA Descriptives Statistics: Getting to know the data. Finding problems beforehand. Survey data and weights

·      Descriptive statistics

·      Visual inspection of data (graphing)

·      Using weights

5. Lecture: Introducing the two-variable regression model and Ordinary Least Squares

Break at appropriate point

6. STATA Regression: OLS in STATA with diagnostics. Common problems in OLS

·      OLS and interpretation

·      Diagnostics

·      Functional Form (log-linear models)

·      Heteroskedasticity and multicollinearity

·      Clustering

7. Introduction: Omitted variable bias and Instrumental Variable (IV) methods

8. STATA IV Estimation: Omitted variable bias and Instrumental Variable methods

·      Simulating omitted variable bias

·      Using IV methods

·      Diagnostics

Break at appropriate point

9. Lecture: Categorical choice methods

Lunch

10. SATA Categorical Choice Models: Binary outcome models, Ordered choice models and Multinomial models

·      Logit / Probit

·      Interpretation of coefficients

·      Diagnostics

·      Ordered logit / probit and Multinomial logit

·      Parallel regression assumption and IIA

Break at appropriate point

11. Individual Requests: Individuals are requested to bring details of their own projects to the sessions, and this final section will be explicitly given to provide advice and guidance