Comparison of two data sets helps understand the characteristic features of different variables across the two data sets. We can compare the entire data sets as well as the variables in both data sets. These variables can be compared efficiently by using STATA. We can do that either by using the menu i.e., Data>Data utilities> …
When the new dataset is imported or generated, you may discover that the variable names do not correspond to your task. Perhaps they do not correspond to the variables in another dataset you wish to merge. In such a situation, rename commands help in resolving this issue. The Rename command is used to rename variable …
Using Rename command to rename Variable in Stata Read More »
This article discusses how to perform multiple regression in Stata and how to deal with the results that are obtained. Unlike simple regressions that only have a single independent variable, multiple regressions have more than one independent variable. Let’s start by loading Stata’s built-in auto dataset into Stata’s memory. To run a multiple regression from …
Often times, we have to work with categorical variables when doing statistical analysis. Categorical variables are those variables that have two or more categories or groups. For example, a variable representing sectors in a stock market could have categories like tech, automobiles, pharmaceuticals, cement, banks etc. These categories of string type may also be needed …
Using the Encode Command In Stata to Convert String Variable Read More »
Systematic risk is one the most discussed idea in the domain of corporate finance or financial risk management. It refers to the risk that effects the market at large or the whole market. Examples of risk that could effect large number of companies are economic or political instability, war, natural disaster. The other names used …
How to Calculate Systematic and Unsystematic Risk in STATA Read More »
