An Introduction to Stationarity and Non-stationarity in Econometrics
In econometrics, determining whether a time series is stationary or non-stationary is fundamental, as it influences the...
An Introduction to Autoregressive (AR) Models in Econometrics
Autoregressive (AR) models are significant in econometrics, providing a systematic approach to forecasting by...
Understanding Regression Discontinuity Design (RDD) in Econometrics
Regression Discontinuity Design (RDD) is an econometric method used to identify causal effects by examining...
Understanding Counterfactuals and Causality in Econometrics
Counterfactuals in econometrics represent hypothetical scenarios used to estimate causal relationships and...
Fixed Effects vs. Random Effects Models: Understanding the Differences
Fixed effects and random effects models manage individual-level variations in data differently. Fixed...
Understanding Moving Average (MA) Models for Econometrics
Moving Average (MA) models are significant in econometrics, utilising historical error data to analyse and...
Panel Data Regression Models: A Comprehensive Overview
Panel data regression models are instrumental in analysing both static and dynamic economic relationships. They utilise...
Understanding the DID Method in Econometrics
In econometrics, the Difference-in-Differences (DID) method is employed to estimate causal effects by examining ...
