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SAS 9.2 Documentation
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SAS/ETS(R) 9.2 User's Guide
PDF
Contents
About
Credits and Acknowledgments
What's New in SAS/ETS
General Information
Introduction
Working with Time Series Data
Date Intervals, Formats, and Functions
SAS Macros and Functions
Nonlinear Optimization Methods
Procedure Reference
The ARIMA Procedure
The AUTOREG Procedure
The COMPUTAB Procedure
The COUNTREG Procedure
The DATASOURCE Procedure
The ENTROPY Procedure
The ESM Procedure
The EXPAND Procedure
The FORECAST Procedure
The LOAN Procedure
The MDC Procedure
The MODEL Procedure
The PANEL Procedure
The PDLREG Procedure
The QLIM Procedure
The SIMILARITY Procedure
The SIMLIN Procedure
The SPECTRA Procedure
The STATESPACE Procedure
The SYSLIN Procedure
The TIMESERIES Procedure
The TSCSREG Procedure
The UCM Procedure
The VARMAX Procedure
The X11 Procedure
The X12 Procedure
Data Access Engines
The SASECRSP Interface Engine
The SASEFAME Interface Engine
The SASEHAVR Interface Engine
Time Series Forecasting System
Overview of the Time Series Forecasting System
Getting Started with Time Series Forecasting
Creating Time ID Variables
Specifying Forecasting Models
Choosing the Best Forecasting Model
Using Predictor Variables
Command Reference
Window Reference
Forecasting Process Details
Investment Analysis
Overview
Portfolios
Investments
Computations
Analyses
Details
Index here
Product
Release
SAS/ETS
9.2
Type
Usage and Reference
Copyright Date
March 2008
Last Updated
15Apr2008
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The PANEL Procedure
The PANEL Procedure
Overview: PANEL Procedure
Getting Started: PANEL Procedure
Specifying the Input Data
Specifying the Regression Model
Unbalanced Data
Introductory Example
Syntax: PANEL Procedure
Functional Summary
PROC PANEL Statement
BY Statement
CLASS Statement
FLATDATA Statement
ID Statement
INSTRUMENT Statement
LAG, ZLAG, XLAG, SLAG or CLAG Statement
MODEL Statement
OUTPUT Statement
RESTRICT Statement
TEST Statement
Details: PANEL Procedure
Missing Values
Computational Resources
Restricted Estimates
Notation
The One-Way Fixed-Effects Model
The Two-Way Fixed-Effects Model
Balanced Panels
Unbalanced Panels
Between Estimators
Pooled Estimator
The One-Way Random-Effects Model
The Two-Way Random-Effects Model
Parks Method (Autoregressive Model)
Da Silva Method (Variance-Component Moving-Average Model)
Dynamic Panel Estimator
Specification Testing For Dynamic Panel
Instrument Choice
Linear Hypothesis Testing
Heteroscedasticity-Corrected Covariance Matrices
R-Square
Specification Tests
Troubleshooting
ODS Graphics
The OUTPUT OUT= Data Set
The OUTEST= Data Set
The OUTTRANS= Data Set
Printed Output
ODS Table Names
Example: PANEL Procedure
Analyzing Demand for Liquid Assets
The Airline Cost Data: Fixtwo Model
ODS Graphics Plots
The Airline Cost Data: Further Analysis
The Airline Cost Data: Random-Effects Models
Using the FLATDATA Statement
The Cigarette Sales Data: Dynamic Panel Estimation with GMM
References: PANEL Procedure
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Copyright © 2007 by SAS Institute Inc., Cary, NC, USA. All rights reserved.
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