Introduction
Why you should use Stata
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Prerequisites
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How this course is taught
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1. Getting Started
Command syntax
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An overview of the interface
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Customizing your preferences
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Using help effectively
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What are .do and .ado files?
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Log files
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Importing data
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2. Exploring Data
Viewing raw data
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Describing and summarizing
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Tabulating and tables
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Missing values
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Distributional analysis (numerical)
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Weights
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Exploring data: Challenge
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Exploring data: Solution
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3. Manipulating Data
Recoding an existing variable
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Generating a new variable
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Naming and labeling variables
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Extended generate
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Indicator variables
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Keeping and dropping variables
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Saving data
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Merging and appending
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String variables
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Local macros and looping
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Manipulating data: Challenge
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Manipulating data: Solution
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4. Graphing in Stata
Introduction to graph commands
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Bar graphs and dot charts
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Distributional analysis (graphical)
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Pie charts
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Scatterplots and fitted lines
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Contour plots
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Geographic maps
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Graphing in Stata: Challenge
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Graphing in Stata: Solution
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5. Basic Inferential Statistics
Statistics for two categorical variables
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Tests for one or two means
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Bivariate correlation and regression
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Analysis of variance
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Basic inferential statistics: Challenge
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Basic inferential statistics: Solution
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6. Ordinary Least Squares (OLS) Regression
OLS regression and interpretation
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Categorical explanatory variables in OLS
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OLS regression diagnostics
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Exploring functional form in OLS regression
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OLS hypothesis testing
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Presenting OLS regression estimates
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Ordinary least squares regression: Challenge
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Ordinary least squares regression: Solution
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7. Binary Outcome Models (Logit and Probit)
The linear probability, logit, and probit models
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Diagnostics
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Interpretation of coefficients and margins
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Binary outcome models: Challenge
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Binary outcome models: Solution
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8. Categorical Choice Models
Ordered logit and ordered probit
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Multinomial logit
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Categorical choice models: Challenge
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Categorical choice models: Solution
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Ex_Files_Stata_15.zip
(15.0 MB)