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Panel data, also known as longitudinal data, involves collecting observations on multiple entities (such as firms, individuals, or countries) over multiple time periods. Researchers often use fixed effects, which can be in the form of time dummies or industry dummies, to account for various sources of data variation. In this article, we will test the […]
Time Fixed Effect Models in R Read More »
Panel data regression, also known as longitudinal or cross-sectional time-series data analysis, is a powerful statistical method for examining how independent variables affect a dependent variable over both time and individual units (cross-sectional units). For more details about panel data see Theory of Panel Data In this tutorial, we will walk through the process of
A Comprehensive Guide to Panel Data Regression in R Read More »
In STATA, the count command not only calculates the total number of observations in a dataset but also allows for the application of specific conditions, enabling users to count observations that meet particular criteria or satisfy certain conditions within the dataset. This flexibility makes it a powerful tool for data exploration and analysis. This article
How to count the number of observations in STATA Read More »
