Online Econometrics Resources

Econometric Models and Techniques for Analyzing Financial Markets​ Financial markets are complex and dynamic, requiring advanced tools and techniques to understand their intricacies. Econometric models offer a powerful framework for analyzing financial markets, enabling researchers and practitioners to uncover meaningful insights. In this article, we delve into the world of econometrics and explore how it …

Econometric Models and Techniques for Analyzing Financial Markets​ Read More »

Choosing the Right Econometric Software: A Comparison of Stata, R, and Python Econometric software plays a vital role in conducting rigorous data analysis and modeling in the field of economics. With numerous software options available, choosing the right one can be a daunting task. This article aims to provide a comprehensive comparative analysis of popular …

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Stationarity refers to the property of a time series where the statistical properties (such as mean and variance) are constant over time. Ergodicity, on the other hand, refers to the property of a stochastic process where the time average of a process is equal to the ensemble average over all possible realizations of the process. …

Stationarity Vs Ergodicity in Time Series data in Econometrics Read More »

If X(t) and Y(t) are two time series Xt granger causes Yt if the past values of Xt helps in predicting the future values of Yt Yt is not just = f(Yt-1,Xt) Xt granger causes Yt Condition = cause happens prior to the effect Yt= f(Xt-1) Cause has unique information about the future values of …

Granger Causality Test Read More »

Breusch-Pagan LM statistic test The Breusch-Pagan LM statistic tests the random effects model against thepooled OLS model. The specific hypothesis under investigation is the following:H0: σ2α = 0H1: σ2α ≠ 0The random effects model reduces to a pooled OLS regression under the null (when σ2α = 0).The test is based on OLS residuals built from …

Breusch-Pagan LM statistic Vs Breusch–Godfrey test vs Breusch-Pagan test Read More »

What is variance? How it differs from co-variance? How these are related to correlation? The variance means the quality of being different divergent from the norm. It measures how far each number in the set is from the mean (average), and thus from every other number in the set. Variance is often depicted by this symbol: σ2. …

What is variance? How it differs from co-variance? How these are related to correlation? Read More »