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EViews 14 ENTERPRISE: The Premier Econometrics, Time-Series Analysis & Forecasting Workspace

Original price was: Rp5.000.000.Current price is: Rp1.800.000.

Description

100% Free of Auto-Close Issues: We guarantee that the EViews 14 program you receive will run smoothly at all times. You will not encounter any frustrating issues where the program suddenly closes on its own (crashes) while you are intensively processing data or running regression estimates.

No “Refresh Date” Errors or Expiration Notifications: The version we provide is a fully mature, performance-tested version. You will never encounter “refresh date” error messages, expired licenses, or functional restrictions after using the program multiple times. Once installed, the program remains permanently active for the long term.

 

Eviews 14 for unlimited PC

 

EViews 14 ENTERPRISE: The Premier Econometrics, Time-Series Analysis & Forecasting Workspace

Elevate your economic research, financial modeling, and statistical analysis with EViews 14. As the undisputed global standard in econometric software, version 14 introduces cutting-edge computational algorithms, next-generation machine learning forecasting pipelines, and advanced text/residual diagnostic utilities designed to seamlessly manage big data.

Unified Enterprise Power

Important Product Update: Starting with version 14, EViews has unified its previous Standard and Enterprise tiers into a single, high-performance product. All users now natively receive full enterprise-grade feature sets—including direct, real-time data connectivity to premium global repositories, automated database extensions (EDX), and maximum computing capacities.

EViews 14 eliminates the friction of rigid coding environments, blending a flexible, object-oriented interface with the heavy-duty analytical muscle required by central banks, top-tier corporations, academic faculties, and global research institutes.

Key Advanced Features & What’s New in EViews 14

  • Automated Outlier Detection: Clean your datasets with precision. Version 14 introduces advanced series-based and equation residual outlier detection tools, allowing you to instantly identify and isolate data anomalies before running regressions.

  • Boosted Hodrick-Prescott Filter: Utilize a highly refined trend-cycle decomposition methodology to isolate macroeconomic fluctuations from long-term trends without the traditional “end-of-sample” distortion.

  • Machine Learning Variable Selection: Optimize highly complex structural equations with native support for advanced penalty regressions including LASSO, Ridge Regression, and Elastic Net, alongside automated GETS (General-to-Specific) variable screening.

  • Explosive Bubble Testing: Access cutting-edge financial diagnostics to identify market instabilities, structural asset spikes, or economic bubble markers in real estate and capital markets.

  • Expanded Global Database Infrastructure: Directly link, stream, and query macro-financial data tables via native API connectors for Bloomberg, StatCan (Statistics Canada), Eurostat, the European Central Bank (ECB), OECD, UN Data, and FRED.

  • Massive Big Data Caching: Built on a robust 64-bit architecture capable of loading up to 120 million observations per data series, limited only by your local system memory.

  • Seamless Multi-Platform Extensibility: Execute interactive workflows with native external programming interfaces for Python, R, MATLAB, Tableau, and Jupyter Notebooks, alongside a powerful Microsoft Excel Add-in.

System Compatibility

Component Minimum Requirement Recommended Specification
Operating System Windows 10 (64-bit) / Server 2012+ Windows 11 (64-bit)
Processor (CPU) Intel Pentium / AMD equivalent Multi-Core Intel Core i5 / i7 or AMD Ryzen 5 / 7
Memory (RAM) 512 MB 8 GB or 16 GB (Essential for heavy panel data matrices)
Storage 400 MB free hard disk space Solid State Drive (SSD / NVMe)
Connectivity .NET Framework 4.0 High-speed internet for direct cloud database APIs

 

Perfect For

  • Macroeconomists & Policy Analysts: Formulating forecasting loops, tracking inflation matrices, and measuring fiscal or monetary policy impacts.

  • Financial Risk & Quantitative Managers: Modeling high-frequency market volatility, deploying ARCH/GARCH variants, and validating asset pricing models.

  • Postgraduate Researchers (M.Sc. / Ph.D.): Running complex panel data regressions, structural vector autoregressions (SVAR), and producing figures for Scopus Q1/Q2 journals.

  • Corporate Strategy & Market Analysts: Tabulating structural trends, market demand dynamics, and seasonal variations across massive business data arrays.

 

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