Getting started series: Stata Finding Data (and crafting research questions) Stata tutorial Fixed/random effects (Panel data) Data Preparation & Descriptive Statistics Linear Regression (Stata) Logit ...

A selective review of the statistical analysis of time series is given, attention being concentrated on methods for the interpretation of data as contrasted with methods for empirical forecasting.

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in ...

Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis.

The analysis of non-Gaussian time series using state space models is considered from both classical and Bayesian perspectives. The treatment in both cases is based on simulation using importance ...

Spatial analysis is attracting more attention from Stata users with the increasing availability of regional data. This article presents an implementation of hot and cold spot analysis using Stata. For ...

Time series graphs are intuitive, helping you relate a metric to time. Marketing analysts are often faced with choosing a data visualization that speaks to managers and colleagues interested in ...