Econometrics & Time Series with SAS/ETS® Software
Integrated time series and econometric techniques for modeling, forecasting and simulating business processes
SAS/ETS offers a broad array of time series, forecasting and econometric techniques that enable modeling, forecasting and simulation of business processes for improved strategic and tactical planning. It can help you understand the impact that factors such as economic and market conditions, customer demographics, pricing decisions and marketing activities have on business.
Benefits
- Analyze the impact of promotions and events.
- Provide the information needed to make better staffing decisions.
- Model customer choices.
- Measure and predict marketing investment activities.
Features
- Time Series Forecasting System
- Full range of forecasting and time series methods
- Econometric analysis
- Time series data management and preparation
- Financial analysis
- Provides tools to access economic and financial data from commercial and government databases
“SAS provides us with a series of tools that make data analysis much easier.”
—Andre Luis Grotti Clemente
Director of Strategic Studies for the Public Administration School in Sao Paulo
Sao Paulo, Brazil
Screenshots
Understand how income and price impact the probability of purchase decisions.
How SAS® Is Different
- Industry leading SAS analytics deliver more accurate forecasts.
- Data visualization allows broader audiences to understand results of analysis.
- Integration with multiple systems throughout the organization allows for better analysis based on multiple factors.
Benefits
- Analyze the impact of promotions and events. The time series and econometric capabilities of SAS/ETS software provide users with several mechanisms for determining promotional lift. The depth and flexibility of the SAS modeling environment can accommodate any business scenario. Determining the effectiveness of promotions and events enables you to better allocate marketing dollars in the future.
- Provide the information needed to make better staffing decisions. SAS/ETS can provide forecasts of demand for services so that organizations can maximize staff resources. It can automatically account for seasonal fluctuations and trends, and can select the best method for generating the demand forecasts. Efficient staff allocations mean customers’ needs will be met with no wasted resources.
- Model customer choices. SAS/ETS enables you to maximize marketing efforts by understanding which product features are important to a particular audience. Modeling customer choices based on the attributes of customers and their choices helps improve business strategy by accurately predicting customers’ decisions. Understanding these choices and the factors that influence them enables you to adjust marketing strategies or fee structures to modify choices or target the right population.
- Measure and predict marketing investment activities. SAS/ETS software can help you understand which key business drivers are having the highest impact on consumer demand. You can model customer demand based on marketing mix activities that measure the impact of pricing, advertising, in-store merchandizing, store distribution, sales promotions and competitive activities. Using simulation and optimization tools, you can maximize investments to drive profitable volume growth.
Features
- Time Series Forecasting System
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- Point-and-click interface for exploring and forecasting time series data.
- Automatically selects the best-fitting forecasting model for each time series.
- Provides mathematically optimized model parameters.
- Interactive model development facility for more experienced forecasters.
- Graphical display of time series diagnostics tests.
- Inclusion of regression variables and unusual events in the forecasting model.
- Diagnostic checks on fitted models.
- Option to statistically combine multiple forecasts.
- Full range of forecasting and time series methods
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- Trend extrapolation; exponential smoothing; Winters method (additive and multiplicative); ARIMA (Box-Jenkins).
- Structural time series models or unobserved components models.
- Dynamic regression or transfer function models.
- Joint forecasting of multiple time series using vector time series analysis and general state-space models.
- Automatic outlier and event detection.
- Time series decomposition and seasonal adjustment.
- Spectral and cross-spectral analysis for finding periodicities or cyclical patterns in your data.
- Econometric analysis
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- Regression with correction for autocorrelated errors.
- Fitting, analyzing and simulation of simultaneous systems of both linear and nonlinear regression models.
- Multinomial Discrete Choice analysis.
- What-if, Monte Carlo simulation.
- Time series cross-sectional analysis.
- Qualitative and limited dependent variable models.
- Time series data management and preparation
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- Convert time series from one sampling frequency to another.
- Interpolate missing values.
- Aggregate time-stamped transactional data into time series.
- More than 100 time series transformation operations.
- Financial analysis
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- Interactive analysis system for time-value-of-money analysis.
- Provides tools to access economic and financial data from commercial and government databases
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- Engines to access commercial databases:
- SASEFAME provides access to time series, case series, and formulas residing in FAME databases.
- SASEHAVR provides access to HAVER ANALYTICS DLX economic and financial databases.
- SASECRSP provides access to CRSP STOCK, CRSP INDICES, and COMPUSTAT/CRSP merged databases.
- Commercial database vendors: DRI, Standard & Poor’s (COMPUSTAT).
- US government data: Bureau of Economic Analysis, Bureau of Labor Statistics.
- International agency data: International Monetary Fund (IMF), Organization for Economic Cooperation and Development (OECD).
SAS/ACCESS software (licensed separately) provides seamless read, write and update access to other data sources, including relational and nonrelational databases, PC File Formats and Data Warehouse Appliances. SAS Data Surveyors are available for accessing Enterprise Applications (such as Oracle, SAP, PeopleSoft and Siebel).
- Engines to access commercial databases:
Screenshots
SAS/ETS helps you understand which factors influence the choices people make, such as how income and price impact the probability of purchase decisions.
With SAS/ETS you can estimate the impact of price changes on the demands for goods and services. In this example, own- and cross-price elasticities were calculated for four products.
SAS/ETS software can automatically account for seasonal fluctuations and selects the best method for generating forecasts.
System Requirements
Supported platforms
- AIX: Version 5.1 and Version 6.1 on POWER architectures
- HP-UX PA-RISC: HP-UX 11iv2 (11.23), 11iv3 (11.31)
- HP-UX Itanium: HP-UX 11iv2 (11.23), 11iv3 (11.31)
- Linux for x86 (x86-32): RHEL 4 and 5, SuSE SLES 9 and 10
- Linux for x64 (EM64T/AMD64): RHEL 4 and 5, SuSE SLES 9 and 10
- Microsoft Windows (x86-32): Windows XP Professional, Windows Vista*, Windows Server 2003 family
- Microsoft Windows on x64 (EM64T/AMD64): Windows XP Professional for x64, Windows Vista* for x64, Windows Server 2003 for x64
- Microsoft Windows (on Itanium): Windows Server 2003 for Itanium-based systems
- OpenVMS for HP Integrity Servers (Itanium): 8.3
- Solaris on SPARC: Version 9, 10
- Solaris on x64: Version 10
- z/OS: V1R7, z/OS V1R8, z/OS V1R9 and higher
* NOTE: Windows Vista Editions that are supported include Enterprise, Business and Ultimate.
Required software
- Base SAS
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.
