Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
SHAZAM is a desktop econometrics software package developed by SHAZAM Analytics Ltd. The latest text notes that SHAZAM 11.5 was released in November 2022 and is available in Standard and Professional Edition. It is aimed at economics, statistics, teaching, and research use cases. Rather than being a general-purpose IDE, it is a specialized analytical environment built around model estimation, data processing, matrix computation, graphing, and report output.
The software provides its own Command Language, with commands such as OLS, STAT, DISTRIB, GRAPH, MATRIX, COPY, READ, GENR, and WRITE for regression, descriptive statistics, distribution probabilities, matrix operations, data input/output, and plotting. The command editor supports syntax highlighting, execution, step-by-step running, breakpoint debugging, and variable monitoring, making it suitable for building reproducible analysis scripts. Professional Edition also includes menu-driven Analytics and Wizards, allowing users to configure common models with the mouse and lowering the learning curve. For data handling, it includes a built-in Data Editor and automatic READ for the workspace; the Data Connector in Professional Edition is based on Microsoft ADO and can connect to local, network, and internet databases via ODBC drivers.
SHAZAM is commercially licensed software, offering Standard/Professional editions, online purchase, email or fax ordering, student discounts, and site sub-licensing. The student Academic License starts at USD 49, and the text states that the student version has no time or feature limitations. The trial version is free to download, has no time limit, and includes enabled features, but is restricted by the calculation memory PAR limit. Documentation is fairly complete, including a Reference Manual, Command Reference, User Guide, FAQs, sample datasets, and book examples, making it suitable for teaching and self-study.
Its strengths include broad and systematic econometrics command coverage, rich examples and manuals, relatively friendly trial limitations, and a command language that supports reproducible research. Its drawbacks are that the text does not show full commercial pricing; Mac use requires dual booting or virtualization; there is no visible API/SDK, cloud collaboration, open-source model, or integration with modern development ecosystems; and database connectivity depends on Windows ADO/ODBC drivers. It is best suited to economics courses, researchers, and institutional users who need traditional econometrics tools. If you prefer open-source tools, scripting ecosystems, and cross-platform support, R, Python statsmodels, gretl, and similar options may be a better fit.
The text does not provide information on access from mainland China, payment methods, or mirrors, so china_access can only be considered unknown. If the online store is difficult to access or international payments are inconvenient, ordering by email may be an option, or you can evaluate alternatives such as Stata, EViews, R/Python, and others.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on econometrics.com official site.
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