Arbeitspapier

Fixed-effect regressions on network data

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.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP44/18

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Large Data Sets: Modeling and Analysis
Thema
connectivity
fixed effects
graph
Laplacian
limited mobility
teacher value-added
two-way regression model

Ereignis
Geistige Schöpfung
(wer)
Jochmans, Koen
Weidner, Martin
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2018

DOI
doi:10.1920/wp.cem.2018.4418
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Jochmans, Koen
  • Weidner, Martin
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2018

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