Tutorials

Reference

  1. GAUSS Quick Reference
  2. Matrix manipulation
  3. Relational and logical operators

GAUSS Basics

  1. Getting started with GAUSS
  2. Beginner program: Nearest neighbor search
  3. Generating data from a linear model
  4. Running a GAUSS program
  5. Graphing data

Loading Data

  1. Loading variables from a file
  2. Reading and writing Excel data with GAUSS
  3. Reading CSV and other text data
  4. Saving and loading GAUSS matrix files

Formula string syntax

  1. Descriptive statistics with a formula string
  2. Ordinary least squares regression with a formula string
  3. Generalized linear model with a formula string

Econometrics basics in GAUSS

  1. Linear regression
  2. OLS diagnostics: Error term normality
  3. OLS diagnostics: Heteroscedasticity
  4. OLS diagnostics: Influential data tests
  5. OLS diagnostics: Multicollinearity
  6. OLS diagnostics: Model specification

Generalized Method of Moments (GMM)

  1. Introduction and basic usage
  2. User-defined moment equations
  3. GMM control settings
  4. GMM Application: OLS estimation with exogenous regressors
  5. GMM Application: OLS estimation with endogenous regressors

Bayesian fundamentals

  1. Monte Carlo integration
  2. Importance sampling
  3. Gibbs sampling from a bivariate normal distribution
  4. Metropolis-Hastings sampler

Graphing in GAUSS

  1. Basic graphs in GAUSS with programmatic customization
  2. Exporting graphs interactively
  3. Time series plots

Optimizing your GAUSS code

  1. Vectorizing GAUSS Programs
  2. Loop Optimizations

Threading in GAUSS

  1. Introduction: Internally threaded functions
  2. User created threads
  3. Performance considerations
  4. Introduction to Parallel Loops

Using Structures

  1. Why learn to use structures?
  2. A gentle introduction to using structures
  3. Converting to structures: An example with ols and olsmt

Multi-dimensional arrays in GAUSS

  1. Multi-dimensional array basics in GAUSS

Time Series Analysis

  1. Introduction to TSMT and basic usage
  2. Simulating ARMA data
  3. Finding The Sample ACF and PACF
  4. Estimating ARIMA Models
  5. U.S. Whole Sale Price Index Application: Visualizing Time Series Data

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