RATS / CATS 時間序列分析計量軟體

RATS / CATS 是一套群昱公司代理的時間序列統計計量軟體,搭配 CATS 模組,可透過一連串的對話方塊,進行學業界最先進複雜的共整合分析,甚至可進行I(2)模型分析。RATS能支援Windows, Macintosh、UNIX和Linux,以完全相容跨平台。

RATS

Overview

RATS (Regression Analysis of Time Series) is a fast, efficient, and comprehensive econometrics and
time series analysis software package. For more than two decades, it has been the econometrics
software of choice at universities, central banks, and corporations around the world. Our current
release, Version 9.2, is easier to use than ever while continuing to offer the most advanced tools
available for cutting-edge econometrics research.

We’ll take a closer look at the RATS program below. For more details, see the List of Features page or click on any of
the menu items at left

Econometrics and Data Management

RATS provides all the basics you expect, including linear and non-linear least squares, forecasting, SUR, and ARIMA models.
But it goes far beyond that, with support for techniques like GMM, ARCH and GARCH models, state space models, and more. RATS
also offers unmatched support for Vector Autoregression models, and is one of the few programs to offer spectral analysis
capabilities.

RATS can handle time series of virtually any frequency, including daily and weekly, as well as panel and cross-section data.

Menu-driven data wizards and support for reading various text, spreadsheet, and database file formats make it easy to get
your data into RATS. Our Professional version adds support for more database formats, including SQL/ODBC data access, for
even more flexibility.

RATS Screen Shot

The RATS Editor

Our interactive RATS Editor environment allows you to quickly implement econometric analysis tasks, and makes it easy to try
different model specifications or techniques without having to rerun entire programs.

You can save your work as a RATS program, allowing you to reproduce your results at any time with just a couple of mouse
clicks.

(click on images to enlarge)

Point-and-Click Wizards

RATS Wizards menu

The editor also offers more than 40 menu-driven Wizards that provide point-and-click access to most common tasks,
including reading data, displaying graphs, doing transformations, estimating a variety of models, and hypothesis testing.
These help make RATS an ideal tool for new users and for use in educational settings.

When you use a Wizard, RATS displays the corresponding commands in the editor window so you can actually learn the RATS
language through using the Wizards. This also allows you to use the Wizards to build complete programs that can be
re-executed again later.

An often-overlooked aspect of econometric research is ensuring that results are reported accurately. RATS addresses this with
a powerful report-generation feature for quickly generating accurate tables of reports, which you can export to text or
spreadsheet files for direct inclusion in papers and presentations.

Below: The ARCH/GARCH Wizard dialog box At Right: The Time Series Wizard menu

RATS ARCH/GARCH Wizard Screen


High-Quality Graphs

RATS allows you to create publication-quality time series graphs, scatter plots, and contour graphs.

RATS Graphics Sample

RATS Graphics Sample

Programming Capabilities

The command-driven language at the heart of the program remains easy to learn and use for simple jobs, but its extensive
programming capabilities also allow you to handle much more complex tasks. Features include user-definable procedures and
functions, looping and program control instructions, and the ability to create user-defined menus and dialog boxes. With
these capabilities, you can automate complex or repetitive tasks, and even write sophisticated menu- and dialog-driven
end-user applications.

All versions of RATS also offer “batch mode” operation. You can run jobs several ways: from the command line; by dragging and
dropping files; or by double-clicking on a desktop icon. This is especially helpful for users who need to run the same jobs
on a regular basis.

Cross Platform Support

RATS is available for Windows, Macintosh, UNIX and Linux,
with complete compatibility across platforms. You can share programs, data files, output, and graph files across any of these
platforms with no translation required.

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. If, after
looking over this list, you are not sure that RATS can do what you need, just ask us. You can
e-mail us at [email protected] and we’ll do our best to answer your question.

Statistical Methods

Estimation Techniques

  • Multiple regressions including stepwise
  • Regression with autoregressive errors
  • Heteroscedasticity/serial-correlation correction, including Newey-West
  • Non-linear least squares
  • Two-stage least squares for linear, non-linear, and autocorrelated models
  • Seemingly unrelated regressions and three-stage least squares
  • Non-linear systems estimation
  • Generalized Method of Moments
  • Maximum likelihood estimation
  • Constrained optimization
  • Extensive built-in hypothesis testing capabilities.
  • Pre-written procedures for a huge variety of other tests, including unit-root, stability, and much more
  • Limited and discrete dependent variable models: logit, probit, censored/truncated (Tobit), count models
  • Panel data support, including fixed and random effects estimators
  • Non-parametric regressions
  • Kernel density estimation
  • Robust estimation
  • Recursive least squares
  • State-space models, including Kalman filtering and smoothing, simulations, and optimal control models
  • Neural network models
  • Linear and quadratic programming
  • Dynamic Stochastic General Equilibrium (DSGE) models

Time Series Procedures

  • Easy to specify lags and leads for time-series model estimation and analysis
  • ARIMA and ARMAX models including multiplicative seasonal models; support for arbitrary lag structures
  • Transfer function/intervention models
  • Error correction models
  • Kalman filter
  • Spectral analysis

Forecasting

  • Time series models
  • Regression models
  • Exponential smoothing
  • Static or dynamic forecasts
  • Simultaneous equation models (unlimited number of equations)
  • Simulations with random or user-supplied shocks
  • Forecast performance statistics, including Theil U statistics

Vector Autoregressions (VARs)

  • Unmatched support for VAR models
  • Error Correction models
  • Structural VARs. Choice of factorizations, including estimating a factor matrix from a covariance matrix model
  • Impulse responses, with Monte Carlo and Importance Sampling techniques for standard error bands.
  • Forecasting
  • Variance decomposition
  • Historical decomposition
  • Extensive hypothesis testing tools
  • CATS 2.0 add-on provides industry-leading cointegration analysis

ARCH and GARCH Models

  • Univariate and multivariate, including BEKK, diagonal, CC, DCC, and Vech multivariate models
  • Support for GARCH-in-mean models
  • Additional exogenous variables in mean and/or variance equations
  • Normal, t and GED distributions
  • Exponential and Asymmetric models
  • Robust standard errors

Working With Data

Data Entry

  • Menu-driven Data Wizards for reading in data
  • Reads and writes Excel® files (including Excel 2007), text files, Stata®, Eviews®, Matlab®, Haver databases, and other formats
  • Pro version supports SQL/ODBC access, online access to the FRED® database, CRSP® data, and more
  • On-screen data viewer and editor, with point-and-click graphing and statistics tools
  • Can handle virtually any data frequency, including daily, weekly, intra-day, and panel data
  • Can automatically compact or expand data to different frequencies
  • RATS data file format is fast and easy, supports all
    frequencies, and allows you to store series of different frequencies on
    the same file

Data Transformations

  • Flexible transformations with algebraic formulas
  • Easy to create trend series, seasonal, and time period dummies
  • Extensive filtering operations, including Hodrick-Prescott, Henderson, Spencer, and custom filters
  • Supports regular, seasonal, and fractional differencing

Graphics

  • Time series graphics
  • X-Y scatter plots
  • Dual-scale graphs
  • Box plots
  • Contour graphs
  • Ability to arrange multiple graphs on a single page
  • Copy-and-paste graphs into other applications
  • Export graphs to many formats, including PostScript and Windows Metafile
  • User can customize attributes such as line thickness, colors and grayscale levels, and fill patterns

Interface

Interactive Mode Environment

  • Text-editor based
  • Point-and-click “wizards” for many tasks, greatly enhancing ease-of-use
  • Saved programs can be re-run with just a few mouse clicks
  • Designed so that you can reproduce results, output, and
    graphs easily and accurately (a critical but often overlooked
    requirement for producing reliable, publication-quality results)
  • True multiple window support. Simultaneously view your input
    commands and output, spreadsheet-style “report” windows, graphs, and
    more

Programmability

  • Extensive looping capabilities and support for applying
    operations to lists of variables make it possible to automate many
    repetitive tasks
  • You can write procedures, which can perform complex tasks with a single instruction, and write your own callable functions.
  • A library of procedures written by RATS users from around the world is available free of charge on our web site
  • A variety of interface-related instructions allow you to create your own drop-down menus, custom dialog boxes, and more

Report Capabilities

  • Strong focus on making it easy to get results easily and accurately into documents or other applications.
  • Tables of output can be viewed in Report Windows, for easy exporting or copying-and-pasting into other applications.
  • Powerful report-generation features for constructing and exporting your own tables of information.
  • Easy control over displayed precision in output
  • TeX: Support for exporting TeX tables

Overview

CATS (Cointegration Analysis of Time Series) is a set of
cointegration analysis procedures written by Jonathan G. Dennis,
Katarina Juselius, Sören Johansen and Henrik Hansen of the University of

Copenhagen for use with our RATS software.

CATS provides a wide variety of tools for analyzing your data and
choosing and testing a cointegration model. The program is almost
completely menu- and dialog-driven. You begin by running a short RATS
program to define your data and load the CATS procedure. This adds
several CATS menus to the RATS menu bar, and you perform your analysis
by selecting operations from these menus. CATS will prompt you for any
needed input. See CATS 2: A Closer Look for screen shots showing some of the menu operations.

See CATS 2.0 for more details on CATS 2.0.

What’s Included?

The CATS 2.0 package includes the CATS procedure on CD and a
completely revised 200-page manual describing the econometrics of the
cointegrated VAR model and how to interpret the output. All features of
the program are illustrated by a worked example. The manual also
includes a technical appendix describing the mathematics of CATS. Sample
data and set-up files for the illustrative examples are also included.

Requires RATS 6.2 or Later

Note that you must have a copy of the RATS software in order to use CATS. CATS 2.0 will work
with Version 6.2 or later of RATS.

The Cointegrated VAR Model and Accompanying Handbook

CATS 2.0 was developed in conjunction with the creation of the book The Cointegrated VAR Model by Katarina Juselius.
Although the book is certainly not required to use CATS, we think anyone interested in cointegration analysis, and
particularly anyone using CATS to do cointegration analysis, will find it extremely helpful.

A PDF “Handbook” to accompany the book is now available as part of a freely downloadable
zip file.
The handbook describes how to
use CATS 2.0 to reproduce the results from the textbook. This zip
files includes the example programs and data file with the PDF book
describing the steps taking and discussing
the results.    

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