Date format in Stata plays a crucial role when it comes to managing time-related data, which can be both essential and challenging….
Multinomial Logistic Regression in Stata is used to analyze the relationship with a categorical dependent variable with three or more categories.
Logistic regression in Stata is a statistical model to estimate relationship between a binary outcome variable and one or more predictor variables.
Tabout in Stata helps to create publication quality tables. Tables help readers to understand complex data and summarize research findings.
Hypothesis testing is a statistical technique used to draw conclusions about a population based on sample data. I discuss in-depth guide on it.
Panel data analysis in Stata is used to analyze data that varies across both time and individuals or groups. I will discuss step-by-step process for conducting these statistical analysis in Stata.
Log returns in Stata are used to measure percentage change in value of an investment over a period of time. I provide a comprehensive guide to calculate these.
Merging datasets in Stata helps in combining multiple sources of information into a single data file using merge command.
Data reshaping in Stata is a common task in data analysis and is often used to prepare data for further analysis or to make it more easily interpretable.
The t test in Stata is used to measure mean difference between two variables, or two groups, or a single variable with a hypothesized value.