The Ceteris Paribus Laboratory

Extends the regression framework to multiple independent variables, focusing on partial effects, the Gauss-Markov Theorem, and hypothesis testing. The Ceteris Paribus Laboratory turns that idea into something you can manipulate directly and watch respond.

Extends the regression framework to multiple independent variables, focusing on partial effects, the Gauss-Markov Theorem, and hypothesis testing. It focuses on Partial Effects, Omitted Variable Bias, Gauss-Markov Theorem (BLUE), t-tests, F-tests from the “Multiple Regression: Estimation and Inference” section.

The “Effect of X₁ on Y (True β₁) 0.5”, “Effect of X₂ on Y (True β₂) 1.0”, “Correlation (X₁, X₂) 0.7” sliders change the key inputs. Every change updates the visualization in real time, so you can see exactly how each variable affects the outcome.

This course provides a comprehensive introduction to econometrics, focusing on the application of statistical methods to economic data to estimate causal relationships and test theories. Students learn the theoretical f… This demo is the interactive piece for the “Multiple Regression: Estimation and Inference” section. Open the full Econometric Theory and Empirical Analysis with Stata course wiki at https://www.getlykke.com/explore/public/econometric-theory-and-empirical-analysis-with-055d2627-50a4-415f-9bda-e6175cdce1f8 for notes, flashcards, quizzes and the other demos.

You'll build intuition for Partial Effects, Omitted Variable Bias, Gauss-Markov Theorem (BLUE), t-tests, F-tests — and, crucially, see how they behave when you change the inputs, which is hard to get from a textbook or lecture on Econometric Theory and Empirical Analysis with Stata alone.