In this video, we will learn how to use stored values to make predictions based on a regression. We start with a level-level model and then estimate and predict using a log-log model.
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Stata Basics: Working Directories, Loading Data, Generate, Display, and Do Files
Stata Basics: Binomial, Poisson, and Normal Probability Distributions
Stata Basics: Summarize, Tabulate, and If Statements
Stata Basics: Simple Regressions, Scalars, and Scatter plots
Stata Basics: Regression Predictions with Level and Natural Log Models
Stata Basics: Creating and Using Dummy Variables
Stata Basics: Multiple Regression & Omitted Variable Bias
Stata Basics: Categorical Data in Regressions (Factor Variables)
Stata Basics: t Tests on Regression Coefficients
Stata Basics: Polynomial Functional Forms in Regressions
Stata Basics: Interaction Terms in Regressions
Stata Basics: Linear Probability Models