TheDataHall

In our previous articles, we began understanding categorical variables, starting with the basics. We unraveled the importance of these variables in regression models and laid the groundwork for transforming categorical variables into a format suitable for quantitative analysis. We already looked into the regression with single categorical and multiple categorical variables. This article will shed […]

In our previous article, we delved into the fundamentals of creating dummy variables for binary categories, using gender—with its two categories of male and female—as a prime example. However, the landscape of categorical variables is far more expansive, often featuring more than two categories. In this follow-up article, we’ll broaden our focus to tackle categorical

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. Download Code and Data Direct Data Appending: When you have separate data files and want to combine them, you can use the “append” command. This straightforward approach involves

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