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RATS 6.0
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distribuito in Italia da TStat S.r.l. |

PRODUCT DESCRIPTION
RATS (Regression Analysis of Time Series) is a fast, efficient, and comprehensive time series analysis and econometrics software package. RATS makes simple tasks easy to accomplish, while its command-driven interface and extensive programmability also make it a very flexible and powerful tool for more complex jobs.
The Windows and Macintosh versions feature an interactive editor that allows you to create, test, and run RATS programs; view, save, and print text and graphs; access on-line help; and much more. While running in interactive mode, you can quickly experiment with different models or procedures, without having to repeat earlier steps each time.
All versions of RATS also offer batch mode operation. In batch mode, RATS automatically reads and executes instructions from one or more input files, and saves the output to disk.
Note: Features marked Version 5.0 were introduced or improved upon with Version 5.0 of RATS. See What's New is Version 5 for details on this latest release.

PRINCIPAL CHARACTERISTICS
Below is a listing of many of the key features supported by RATS. Please note that RATS is designed to be a very powerful and flexible program, so there is no way we can list all of its capabilities here.
Estimation Techniques
- Multiple regressions, including stepwise
- Regressions with autoregressive errors
- Regressions with heteroscedasticity correction
- Seemingly unrelated regressions and three-stage least squares
- Non-linear least squares
- Two-stage least squares for linear, non-linear, and autocorrelated models
- Maximum likelihood estimation, supporting a wide variety of problems including ARCH, GARCH and related
models. Supports multivariate likelihood functions, and offers a simplex estimation method for non-differentiable functions
- Non-linear systems estimation
- Generalized Method of Moments
- Constrained optimization (Version 5.0)
- Built-in hypothesis testing instructions
- Logit and probit
- Fixed/random effects estimators (Version 5.0)
- Consistent covariance matrices, including "White" and "Newey-West"
- State-space models (Version 5.0)
- Neural Network models
- Linear/Quadratic programming
- Kernel density estimation (Version 5.0)
Time Series Procedures
- ARIMA models including multiplicative seasonal models (supports arbitrary lag structures)
- Vector autoregressions
- Impulse responses
- Variance decompositions
- Structural VAR's (Version 5.0)
- Error Correction Models (Version 5.0)
- Kalman filter for sequential estimation
- Transfer functions
- Intervention models
- Spectral analysis
Forecasting
- Time series models
- Regression models
- Exponential smoothing
- Simultaneous equation models (supports unlimited number of equations)
- Simulations with random or user-supplied shocks
- Forecast performance statistics
Other Features
Graphics
- Line, symbol, bar, stacked bar and filled graphs for time series
- Dot, symbol, line, bar and filled X-Y graphs
- Dual-scale (overlay) time series graphs and (Version 5.0) X-Y graphs
- Arrays of graphs on a page
- Log scales (Version 5.0)
- Exports graphs to PostScript, HPGL, PIC, Windows Metafile, and Macintosh PICT
- Export can be done automatically, as graphs are produced (Version 5.0)
Data Entry
- Reads and writes ASCII, DIF, PRN, DBF and binary files
- Reads and writes Lotus Worksheet (including WK3) and Excel XLS spreadsheet files
- Write HTML tables (Version 5.0)
- Supports our own RATS data file format, which is fast and easy, supports all frequencies, and allows mixing of frequencies on a single file
- RATS format now portable across DOS, Windows, Macintosh, and UNIX platforms
- On-screen data editor
- Menu-driven RATSDATA utility program for maintaining, graphing, importing, and exporting data
- Can handle virtually any data frequency, including daily, weekly, intra-day, and panel data
- Easily converts among different data frequencies
Data Transformations
- Flexible transformations with algebraic formulas
- Easy to create trend series, seasonal, and time period dummy variables
- Specialized differencing and filter operations

RATS ADD-ON APPLICATIONS
CATS (Cointegration Analysis of Time Series) is a set of cointegration analysis procedures for use with the RATS software program. It was written by Henrik Hansen and Katarina Juselius, and is based on the research of Johansen, Juselius, and Hansen.
The X11 adjustment module for RATS is our implementation of the Census Bureau's X11 seasonal adjustment procedure. The module adds "X11" as an additional instruction built into the RATS software. This combines the X11 procedure with all of the data-handling power and time-series analysis capabilities of RATS, and makes it easy to do adjust many series. Features of the X11 module include:
- Adjusts both quarterly and monthly data
- Options for trading day and holiday adjustments
- Graduated extremes options for handling outliers
- Can easily adjust large numbers of series
SYSTEMS TECHNCIAL REQUIREMENTS
RATS FOR WINDOWS
WinRATS-32 is a full 32-bit application designed for use with 32-bit operating systems, including Windows 95, 98, NT, 2000, and XP.
System Requirements for WinRATS-32:
- any Pentium or compatible processor
- at least 4Mb of RAM with Windows 3.1. More recent operating systems require more memory, and we recommend at least 16 to 32Mb RAM as a minimum if using Windows 95 or later. Additional RAM provides additional data-handling capacity
- a hard disk drive with at least 15Mb of free disk space
- a CD ROM drive
- Windows 95, 98, 2000 or NT (Will also run under OS/2 2.1 or later or under Windows 3.1 with the installation of Microsoft's Win32s extensions)
RATS FOR MACINTOSH
MacRATS PPC Version: 5.01 provides a convenient interactive interface to the
RATS language, making it easy to execute existing programs, modify
and re-execute sections of programs, type in and execute quick jobs,
and more. MacRATS 5 also features an HTML-based help system, and includes
the full texts of the RATS User's Guide and Reference Manual in Adobe
PDF format.
An add-on is available that allows you to perform the Census Bureau's X11
Seasonal Adjustment procedure. See X11 add-on application for details.

System Requirements for MacRATS PPC:
- a PowerMac or PowerMac G3 or G4 system
- System 7 or later
- We recommend that you have at least 8Mb of RAM available for use by RATS. Additional RAM provides additional data capacity (you need approximately 1 Mb of RAM for each additional 128,000 observations).
- a hard disk drive with at least 8Mb of free disk space
- CD-ROM drive
RATS FOR UNIX
RATS is available for most UNIX-based workstations, including Sun, HP, IBM,
MIPS, DEC and Silicon Graphics. We also support DEC Alpha machines running
OpenVMS, and Intel-based PC's running Linux. For most of these, RATS
is shipped as C language source code, which must be compiled on the target
machine with an ANSI-standard C compiler. The Linux version is also available
as a pre-compiled executable.
The UNIX/Linux/OpenVMS versions support virtually all of the features offered in the DOS, Windows, and
Macintosh versions. The only significant difference is that these versions currently do not include an interactive editor. Thus RATS is primarily a batch-mode only program on these systems. You can use any text-editor to create your RATS programs and view output.
Version 4.3 added the ability to display graphs directly to the screen on systems running X Windows. Earlier versions could only save graphs to disk in RGF (RATS Graph Format) files. Version 5 adds the ability to automatically save graphs directly into PostScript format (you can also still save graphs in our RGF format for viewing on PC/Mac systems running RATS, or for later conversion to PostScript using the separate RGF2PST utility).
System Requirements for UNIX
- RISC-based CPU running UNIX or OpenVMS, or Intel 486 or Pentium-based CPU running Linux
- an ANSI-standard C compiler
- a 3.5" floppy disk drive capable of reading DOS format disks
NOTE: The X11 Seasonal Adjustment Module Version 5.00 requires: RATS 5.0 or later (WinRATS-32, MacRATS PPC, UNIX, or Linux)
Copyright © 2004 Estima


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