Heteroskedasticity is a crucial concept in statistics and econometrics, particularly in regression analysis. It refers to the phenomenon where the variance of the errors or residuals in a model is not constant across all levels of an independent variable. This can lead to inefficient estimates and biased statistical tests, making it essential to understand and […]
Time Series vs. Panel Data: Deciphering the Differences in Analytical Methods Panel data analysis and time series analysis are two methods that are widely used in econometrics and other research fields. While they both use data that has been collected over time, the two methodologies’ underlying assumptions, data structures, and analytical techniques differ. This post
Time Series vs. Panel Data: Deciphering the Differences in Analytical Methods Read More »
how econometrics is useful for research in economics? Econometrics is a crucial tool in economics research that enables economists to analyze and quantify relationships between economic variables, test hypotheses, make predictions, and guide policy decisions. It combines economic theory, mathematics, and statistical techniques to provide empirical evidence for economic theories and models. It turns theoretical
How econometrics is useful for research in economics? Read More »
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
Econometrics 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
Choosing the Right Econometrics Software: A Comparison of Stata, R, and Python Read More »
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 »
Use of Econometrics to study the stock market and Econometrics for Stock market and Cryptocurrency is the new buzz. Following are the ways we can employ econometrics tools to study stock market. Econometrics can be used to study the market behavior and predict the price movements of cryptocurrencies. Some ways to do this include: These
How to use Econometrics for Stock market and Cryptocurrency? Read More »
In economic research, policy analysis, and forecasting, econometric approaches are frequently employed. The methods are employed to examine economic data and forecast future trends. Among the most popular econometric methods are: – Regression Analysis: This method is used to ascertain how variables are related to one another. For instance, the cost of promotion and the
Real Methodology of Econometrics and how it is used in practice 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
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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 »
