The PANEL Procedure
- Overview
- Getting Started
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Syntax
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DetailsSpecifying the Input DataSpecifying the Regression ModelUnbalanced DataMissing ValuesComputational ResourcesRestricted EstimatesNotationOne-Way Fixed-Effects ModelTwo-Way Fixed-Effects ModelBalanced PanelsUnbalanced PanelsFirst-Differenced Methods for One-Way and Two-Way ModelsBetween EstimatorsPooled EstimatorOne-Way Random-Effects ModelTwo-Way Random-Effects ModelParks Method (Autoregressive Model)Da Silva Method (Variance-Component Moving Average Model)Dynamic Panel EstimatorLinear Hypothesis TestingHeteroscedasticity-Corrected Covariance MatricesHeteroscedasticity- and Autocorrelation-Consistent Covariance MatricesR-SquareSpecification TestsPanel Data Poolability TestPanel Data Cross-Sectional Dependence TestPanel Data Unit Root TestsLagrange Multiplier (LM) Tests for Cross-Sectional and Time EffectsTests for Serial Correlation and Cross-Sectional EffectsTroubleshootingCreating ODS GraphicsOUTPUT OUT= Data SetOUTEST= Data SetOUTTRANS= Data SetPrinted OutputODS Table Names
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Example
- References
The between-groups estimator is the regression of the cross section means of 
on the cross section means of 
. In other words, you fit the following regression:
![\[ \bar{\mi{y}}_\mi {i \cdot } = \bar{\mi{\mb{x}}}_\mi {i \cdot }{\beta }^{BG} + \eta _\mi {i} \]](images/etsug_panel0185.png){kind=small}
The between-time-periods estimator is the regression of the time means of 
on the time means of . In other words, you fit the following regression:
![\[ \bar{\mi{y}}_\mi {\cdot t} = \bar{\mi{\mb{x}}}_\mi {\cdot t}{\beta }^{BT} + \zeta _\mi {t} \]](images/etsug_panel0187.png){kind=small}
In either case, the error is assumed to be normally distributed with mean zero and a constant variance.