Econometrics Theory

Understanding Null and Alternative Hypotheses in Econometrics

Understanding Null and Alternative Hypotheses in Econometrics

In econometrics, the null hypothesis (H₀) posits no effect or relationship between variables, serving as a reference...

Understanding the Different Types of Errors in Econometrics

Understanding the Different Types of Errors in Econometrics

Econometrics requires an understanding of various errors that affect model reliability. Systematic and random...

Understanding the Importance of p-values in Econometrics

Understanding the Importance of p-values in Econometrics

P-values in econometrics assess the evidence against a null hypothesis and are crucial in evaluating...

Understanding the Assumptions of Linear Regression for Econometrics

Understanding the Assumptions of Linear Regression for Econometrics

In linear regression for econometrics, several assumptions are crucial for ensuring the validity of...

Understanding Multicollinearity in Econometrics

Understanding Multicollinearity in Econometrics

Multicollinearity in econometrics occurs when independent variables in regression models exhibit high ...

Detecting and Dealing with Multicollinearity: An Introduction to Econometrics

Detecting and Dealing with Multicollinearity: An Introduction to Econometrics

Detecting and managing multicollinearity is a key aspect of econometrics to ensure model accuracy....

A Beginner's Guide to Understanding the Ordinary Least Squares (OLS) Method

A Beginner's Guide to Understanding the Ordinary Least Squares (OLS) Method

Ordinary Least Squares (OLS) is a statistical method used to understand relationships between variables by utilising...

Understanding the Consequences of Multicollinearity in Econometrics

Understanding the Consequences of Multicollinearity in Econometrics

Multicollinearity is a common issue in econometric models, leading to inflated standard errors, which can make...

Understanding the Interpretation of Regression Results

Understanding the Interpretation of Regression Results

Interpreting regression results requires an understanding of p-values to assess statistical significance, with...