The Wolfram Solution for

Econometrics

Rapidly create interactive test models, analyze data, and seamlessly scale up to large, high-powered simulations—all in one system, with one integrated workflow.

The Wolfram econometrics solution is unique in providing built-in, ready-to-use economic data alongside powerful statistical analysis tools, built-in parallel processing, and state-of-the-art symbolic and numerical computation.

Using built-in or imported data to instantly create interactive applications
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Mathematica includes thousands of built-in functions and curated data on many topics that let you:

  • Analyze stationary and non-stationary time series data
  • Compute Monte Carlo simulations, bootstrap analysis, probability estimations, and more
  • Solve computationally intensive Bayesian statistics problems
  • Estimate with spatial autoregressive panel data models
  • Model the macroeconomic effects of federal interest rate cuts, tax policy, currency devaluation, and more
  • Price American, European, and exotic derivatives using Monte Carlo simulation

Make every report or statement interactive with real-time computation, enabling customers to test multidimensional "what if" scenarios

Study the macroeconomic effects of major Fed rate cuts

Next: How Wolfram Compares
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Complete workflow, from data import to analysis to interactive document or slide show, all in one system
    R, SAS, Minitab, and other software do not support a complete workflow in a single environment
  • Built-in current and historical financial, socioeconomic, and other data ready for computation without preprocessing
    Built-in data combined with high-powered computation is unique to Mathematica
  • Instant creation of dynamic interfaces that allow you to vary parameters and gain useful insights from datasets
    Unique to Mathematica
  • Automated precision control and arbitrary precision numerics produce highly accurate results
    Microsoft Excel and other systems that rely on finite precision numerics can cause serious errors due to lack of precision
  • Powerful symbolic statistical computation and built-in functions for all standard statistical distributions
    R, STATA, and other numerical systems do not include symbolic functionality
  • Seamless integration of numerics, symbolics, interactive graphics, and all other computational aspects in one document
    Unique to Mathematica

Creating multidimensional visualizations of production, sales, and unemployment

Modeling economic processes as mean-reverting random walks

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

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