Programming & Scientific Computing · Statistical & BI Software

Stata: Advanced models · doctoral-level econometric analysis

Public introduction · full guide in Eikos

Introduction

What this guide covers

Modern empirical analysis demands a high level of methodological sophistication and rigorous algorithmic precision. This treatise consolidates the mathematical framework, asymptotic derivations, and practical Stata implementations of the most advanced econometric techniques employed in contemporary scientific research. Through this document, we formally and comprehensively address the methodologies.

Overview

Topics covered

  • Introduction
  • Stata: Advanced Models
  • Estimators and Programming with Mata
  • Likelihood Maximization by the optimization method with ml
  • Linear and Dynamic Panel Data
  • Correlated Fixed Effects: The Mundlak and Chamberlain Approach

Related concepts

Main connections

  • Maximum likelihood estimation
  • Linear algebra & matrices
  • Variance & standard deviation
  • Poisson distribution
  • Time series & ARIMA
  • Mean & expected value

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

yit=β0+𝐗itβ+ηi+νit
View LaTeX sourcey_{it} = \beta_0 + \X_{it}\beta + \eta_i + \nu_{it}