Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/211109
Authors: 
Jochmans, Koen
Weidner, Martin
Year of Publication: 
2019
Series/Report no.: 
cemmap working paper No. CWP16/19
Abstract: 
This paper considers inference on fixed effects in a linear regression model estimated from network data. An important special case of our setup is the two-way regression model. This is a workhorse technique in the analysis of matched data sets, such as employer-employee or student-teacher panel data. We formalize how the structure of the network affects the accuracy with which the fixed effects can be estimated. This allows us to derive sufficient conditions on the network for consistent estimation and asymptotically-valid inference to be possible. Estimation of moments is also considered. We allow for general networks and our setup covers both the dense and sparse case. We provide numerical results for the estimation of teacher value-added models and regressions with occupational dummies.
Subjects: 
connectivity
fixed effects
graph
Laplacian
limited mobility
teacher value-added
two-way regression model
JEL: 
C23
C55
Document Type: 
Working Paper

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.