Advanced and Specialized Statistics with Stata

Take a deeper dive into Stata, the popular statistics software. Explore advanced and specialized topics, from panel data modeling to interaction effects in regression models.

Introduction

• Specialized statistics with Stata
• What you should know

1. More on Data Management

• Formatting the display of variables
• Date and time variables
• Repeating commands by looping over variables
• Repeating commands by looping over numbers
• Repeating commands by looping within loops
• Accessing results saved from Stata commands
• Challenge: More on data management
• Solution: More on data management

2. More on Visualization Techniques

• Changing the look of markers
• Changing graph colors
• Graphing by groups
• Controlling legends
• Adding text and textboxes
• Sizing graphs
• Combining graphs
• How to use jitter
• How to draw custom functions
• Challenge: More on visualization techniques
• Solution: More on visualization techniques

3. Interaction Effects in Regression Models

• What is an interaction effect?
• How to use margins and marginsplot
• Continuous polynomial interactions
• Continuous by continuous interactions
• Categorical by categorical interactions
• Categorical by linear interactions
• Challenge: Interaction effects
• Solution: Interaction effects

4. Panel Data Modeling

• Setting up panel data
• Setting up panel data demo
• Panel data descriptives
• Panel data descriptives demo
• Panel data dynamics
• Panel data dynamics demo
• Linear panel estimators
• Linear panel estimators demo
• Random or fixed effects
• The Hausman test demo
• Nonlinear panel data estimators
• Nonlinear panel data estimators demo
• Challenge: Panel data modeling
• Solution: Panel data modeling

5. Random Numbers and Simulation

• Drawing pseudorandom numbers
• Data generating process (DGP)
• Violating estimator assumptions
• Monte Carlo simulation
• Challenge: Simulation
• Solution: Simulation

6. Count Modeling

• Features of count data
• Poisson model
• Negative binomial models
• Truncated models
• Zero-inflated models
• Challenge: Count modeling
• Solution: Count modeling

7. Survival Analysis

• What is survival data?
• Setting up survival data
• Summary statistics
• Nonparametric analysis
• Cox proportional hazards model
• Diagnostics for Cox models
• Parametric proportional hazards models
• Challenge: Survival analysis
• Solution: Survival analysis

Conclusion

• Next steps