Stata: Data management and manipulation (Expert level)

Introduction

What this guide covers

Rigorous and formal treatment of Stata as a microdata processing and transformation engine. Deep memory analysis, floating point numerical precision, vectorization logic control, macro control structures, and native matrix operations in Mata.

Overview

Topics covered

• Introduction
• Stata: Data Management and Manipulation
• Data Architecture in Stata
• 1.1 Memory Model and RAM Management
• 1.2 Structure of the Active Dataset and System Variables
• 1.3 The Proper Binary Format (.dta)

Related concepts

Main connections

• SQL & relational data modeling
• Median & robust location
• Linear algebra & matrices
• Outliers & influence diagnostics
• Bootstrap resampling
• Mean & expected value

Compatible notation

Mathematical sample in LaTeX

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