Documentation and visualization of model results is clear, thorough and easy to interpret and share.

The GAUSS finance procedures combined with keyword functions make the platform appropriate for easy updating of results, while simultaneously meeting the needs of specialized models.

Maximum Likelihood / Maximum Likelihood MT.

Constrained Optimization / Constrained Optimization MT.

Constrained Maximum Likelihood / Constrained Maximum Likelihood MT.

Additional GAUSS Applications designed for Econometrics include:.

This, combined with tools for process automation, documentation, and presentation, allow for efficient econometric analysis.

Computation of large datasets and complex models can be done quickly.

Provides pre-programmed classical regression analysis tools with the framework necessary for implementing modern regression techniques including time-varying parameters, Markov-Switching models, Bayesian analysis and DSGE models.

Includes a quick and reliable maximum likelihood routine.

Functions are easily adaptable to fit individual model specifications, making it an ideal program for univariate, multivariate, panel series, cross-sectional and time-series analysis.

Efficient data organisation, management, and publication quality presentation.

Learn more about the specific strengths GAUSS offers these diverse industries: Econometrics All functions and programs can be altered by the user and easily integrated with C/C++, Java, FORTRAN and other environments. GAUSS is ideal for rapid prototyping as well as complete implementation of a wide range of scientific and business models. However, GAUSS is also a comprehensive environment that gives you everything you need to develop, adapt, execute and generate publication quality graphics for virtually any problem or project. For professionals in data-driven disciplines from finance to physics, GAUSS has long been the go-to source for specialised models, techniques and applications.

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