Hidden Markov models
Provides powerful HMM procedure for modeling and predicting hidden Markov models.
A broad array of econometric techniques for understanding the impact of economic and marketplace factors on your organization so you can plan better for the future.
Spatial econometrics modeling
Lets you conduct spatial regressions using the CSPATIALREG procedure. Incorporate data with a spatial element (e.g., location and mapping data) into analyses, and improve the econometric inference and statistical properties of estimators.
Econometric models for cross-sectional data
Includes count regression, severity regression, qualitative and limited-dependent variables, and copula methods with compound distribution for cross-sectional data analysis.
Forecasting models for time series data
Models complex economic and business scenarios to analyze the impact specific events might have over time. Time series models include user-defined ARIMA and exponential smoothing models. Time series analysis includes decomposition capabilities and diagnostic testing.
Open, cloud-enabled, in-memory engine
Provides high availability, faster in-memory processing and native cloud support of the SAS Viya engine. Delivers procedures via both public and private cloud in a scalable and elastic environment. Manages all analytical assets in a common environment for a single, governed model inventory across applications.
Panel data econometric models
Includes panel data models, count regression models, and regression models for qualitative and limited-dependent variables for analyzing data that combines both time series and cross-sectional dimensions.
Economic capital models
Combines frequency, severity and copula modeling to simulate portfolio risks and estimate VaR, TVaR, etc. Enables you to model the need for capital reserves, and comply with prudential regulation and capital adequacy directives.
Includes all SAS/ETS® procedures
Provides access to all procedures in SAS/ETS, so you can address virtually any econometrics and time series analysis challenge.
Model, forecast and simulate complex economic and business scenarios using huge amounts of observational data.
Get faster answers to your time- and event-specific questions.
Run large-scale, multivariate simulations that you can fit using different specifications. Perform count regression, cross-sectional analysis, panel data analysis and censored event estimation for both discrete and continuous events. The SAS® Viya® scalable, distributed in-memory engine delivers econometric modeling results on even the largest data sets at exceptional processing speeds. And in-memory data persistence eliminates the need to load data multiple times during iterative analyses.
Empower users with programming language options.
Python, Java, R and Lua programmers can experience the power of SAS Econometrics without having to learn SAS. The SAS Viya engine enables programmers to access powerful, trusted and tested SAS algorithms from their preferred coding environment.
Make better, more scientific decisions.
Understand how varying economic and market conditions, customer demographics, pricing decisions, marketing activities and more can affect your business. Analyze risks, and respond to regulatory requirements. The solution enables you to model and simulate any business process, no matter how complex – even when time dependencies, simultaneous relationships or dynamic processes complicate the analyses. By combining forecasting processes with econometric analysis, you can proactively shape a more profitable future.
This solution runs on SAS® Viya®, which has the breadth and depth to conquer any analytics challenge, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster, with flexible licensing and pricing options to accommodate your current and future needs.
Explore More on SAS® Econometrics & Beyond
BLOG SERIES
Learn the 10 commandments of applied econometrics, or how not to sin when working with real data.
REPORT
SAS is a Leader in The Forrester Wave™: Multimodal Predictive Analytics And Machine Learning (PAML) Platforms, Q3 2018
COMMUNITY
Ask questions, share tips and more in the SAS Forecasting and Econometrics Community.
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SAS/ETS®Model, forecast and simulate business processes using econometric capabilities, time series analysis and time series forecasting.
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SAS® Viya®Conquer your analytics challenges, from experimental to mission critical. SAS Viya extends the SAS Platform to enable everyone – data scientists, business analysts, developers and executives alike – to collaborate and realize innovative results faster.
