Heteroskedasticity: What It Is, Why It Matters, and How to Fix It

Econometrics, Regression Analysis, Statistics

Heteroskedasticity Your coefficients are fine — but your standard errors are lying to you Study smarterHeteroskedasticity testing, robust standard errors and WLS are covered with real datasets and R and Stata workshops in the Statistics Made Simple Complete Bundle...

Instrumental Variables and Two-Stage Least Squares: Solving the Endogeneity Problem

Econometrics, Regression Analysis, Statistics

Instrumental Variables and Two-Stage Least Squares When your data is lying to you — and how to get the truth anyway Study smarterEndogeneity, instruments and 2SLS are covered with 18 real datasets and R and Stata workshops in the Statistics Made Simple Complete Bundle...

Omitted Variable Bias: How to Predict the Direction Before You Run the Regression

Econometrics

Econometrics · Causal inferenceOmitted Variable Bias: How to Predict the Direction Before You Run the RegressionYour supervisor asks “which way is it biased?” — and you can answer without collecting a single data point. Here’s...

How to Interpret Log Coefficients in Regression: The Four Rules

Econometrics

Econometrics · RegressionHow to Interpret Log Coefficients in RegressionYour output says 0.087. Is that 8.7%, 0.087%, or 8.7 percentage points? Here’s the answer, and here’s why it’s never explained properly.It’s half eleven. The...

Hypothesis Testing in Economics: t-Tests, p-Values, and Statistical Significance

Econometrics, Statistics

Hypothesis Testing in Economics How do economists decide if something is actually true — or just a lucky coincidence? Study smarterHypothesis testing only clicks once you have run the five steps yourself on new scenarios. The Statistics Made Simple Complete Bundle has...

How to Read Regression Output: Every Number Explained

Econometrics

Econometrics · RegressionHow to Read Regression Output: Every Number ExplainedSoftware prints about forty numbers. Roughly six of them matter. Here’s which, why, and what your marker is actually looking for.Every statistics course teaches you to run a...

Ordinary Least Squares (OLS): Derivation, Assumptions, and Why Omitted Variable Bias Ruins Everything

Econometrics, Regression Analysis, Statistics

Study smarterOLS, the Gauss-Markov assumptions and regression diagnostics are worked through with 18 real datasets and R and Stata workshops in the Statistics Made Simple Complete Bundle — textbook plus 1,569 practice questions with fully worked...

Complete EconTutorials Content Library

Econometrics, Macroeconomics, Microeconomics, Misc, Statistics

Welcome to the EconTutorials Content LibraryEverything published on EconTutorials — in one place, organised by subject. Whether you’re studying for AP Economics, Cambridge A-Level, IB, or undergraduate exams, use this page to find exactly what you need.🛒...

Difference between Perfect and Imperfect multicollinearity

Econometrics, Multicollinearity

Study smarterMulticollinearity, VIF diagnostics and the rest of the classical regression assumptions are covered in the Statistics Made Simple Complete Bundle — textbook plus 1,569 practice questions with worked answers, 18 datasets and R and Stata...

Eviews Regression with Dummy variables

Dummy variable, Econometrics

To understand regression analysis with dummy variables, let us take an example of using dummy variable with structural changes in an economy. For example, there was a structural change in U.S during 1981-1982, and also a severe recession in 2007 and 2008. So when we...