SAS® Econometrics

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SAS® Econometrics

Better strategic and tactical planning for proactively shaping a profitable future.

SAS Econometrics shown on three desktop monitors

Find answers to challenging, real-world questions by modeling complex business and economic scenarios using huge amounts of diverse data. With SAS Econometrics running on SAS® Viya, you can analyze the dynamic impact that specific events might have over time – and make proactive, data-driven decisions.

SAS Econometrics shown on desktop monitor
SAS Econometrics shown on desktop monitor

Find new opportunities and hidden risks fast.

Now you can estimate models that use thousands of variables to uncover new opportunities and expose hidden risks with unprecedented speed and accuracy. Then use the insights gained to make timely data-driven choices and better business decisions. SAS Viya, our distributed, in-memory platform, delivers econometric modeling results fast. And in-memory data persistence eliminates the need to load data multiple times during iterative analysis, so you get faster answers to time- and event-specific questions. 

SAS Econometrics shown on desktop monitor
SAS Econometrics shown on desktop monitor

Use your preferred programming language.

Python, Java, R and Lua programmers can experience the power of SAS Econometrics without having to learn SAS. Because SAS Viya is an open platform, programmers can access trusted and tested SAS econometric models from their programming language of choice – and take advantage of the latest open source methods.

SAS Econometrics shown on desktop monitor
SAS Econometrics shown on desktop monitor

Make better, more scientific decisions.

Understand how varying economic and market conditions, customer demographics, pricing decisions, marketing activities and more can affect your organization. The solution enables you to model complex business and economic scenarios, and analyze the impact specific events might have over time – even when time dependencies, simultaneous relationships or dynamic processes complicate the analyses.

SAS® Econometrics Demo


Mike Gilliland, Product Marketing Manager at SAS, demonstrates how you can use SAS Econometrics to analyze a class of linear econometric models that commonly occur when time series and cross sectional data are combined – often referred to as panel data. 

SAS Econometrics shown on laptop

Key Features

  • Count regression models. Analyze the number of times specific events occur during a time period using the CNTSELECT procedure to produce regression models for integer-valued dependent variables. 
  • Severity regression models. Estimate probability distributions for the magnitude of both positive and negative random events. 
  • Qualitative and limited-dependent variable regression models. Estimate regression models for univariate qualitative and limited-dependent variables using the CQLIM procedure. 
  • Copula models. Model multivariate dimensions of risk factors, which is useful for modeling multiple correlated risk factors that are non-normally distributed. Supports simulations from Normal, T, Clayton, Gumbel and Frank copulas.
  • Panel data econometric models. Analyze relationships between the past and the future using regression models for panel data, which can have a large number of observations and more than one observation per time period.
  • Open, cloud-enabled, in-memory platform. Distribute analysis and data tasks across multiple computing nodes, and enable fast, concurrent, multiuser access to data in memory with our open, scalable, distributed in-memory processing platform – SAS Viya
SAS Viya


这款最新推出的解决方案在现代开放式平台SAS Viya上运行,可在广度和深度两方面轻松应对任何分析方面的挑战。SAS Viya是一个基于云平台的统一环境,可以被数据科学家、业务分析师、应用程序开发人员和管理人员等使用。它具有稳定可靠、可扩展、安全管理管控等一系列敏捷IT所必需的特性。全球分析领域领导者 — SAS满足您对系统性能的要求。

Recommended Resources

Read the SAS Econometrics product brief for more details.

Learn why SAS was named a Leader in The Forrester Wave: Predictive Analytics and Machine Learning Solutions, Q1 2017.

Ask questions, share tips and more in the SAS Forecasting and Econometrics support community.

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