Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/110001 
Year of Publication: 
2013
Series/Report no.: 
Working Paper No. 782
Publisher: 
Levy Economics Institute of Bard College, Annandale-on-Hudson, NY
Abstract: 
In this paper an alternative approach for the estimation of higher-order linear fixed-effects models is described. The strategy relies on the transformation of the data prior to calculating estimations of the model. While the approach is computationally intensive, the hardware requirements for the estimation process are minimal, allowing for the estimation of models with more than two high-order fixed effects for large datasets. An illustration of the implementation is presented using the US Census Bureau Current Population Survey data with four fixed effects.
Subjects: 
Fixed-Effects Models
Two-Step Estimation
Stata
JEL: 
C13
C23
Document Type: 
Working Paper

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