Merge command in Stata serves the purpose of merging data or combining different datasets. Within the Merge command, there are several merge types, including one to one merge, many to one merge, one to many merge, and many to many merge, each with its unique applications. In their respective sections, we will explore these merge …
Data appending in Stata involves stacking one dataset on top of another to create a single dataset. We will cover different scenarios and options for this process. Direct Data Appending: When you have separate data files and want to combine them, you can use the “append” command. This straightforward approach involves specifying the names of …
For analyzing any data in Stata, the first step must be to make it readable to Stata. To read the data in Stata means you ought to import it in Stata. Before importing any data, remember to change your working directory according to your needs. If you often deal with data stored as MS Excel …
When doing regressions of an outcome variable on covariates that involve categorical variables, there are some issues that one needs to be mindful of with such analysis. Some common problems associated with regressions involving categorical variables are: Dummy Variable Trap Usually, when using categorical variables in a regression model, we tend to use dummy variables …
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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 …
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