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Titel:

Bias from Network Misspecification Under Spatial Dependence

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Betz, Timm; Cook, Scott J.; Hollenbach, Florian M.
Nicht-TUM Koautoren:
ja
Kooperation:
international
Abstract:
The prespecification of the network is one of the biggest hurdles for applied researchers in undertaking spatial analysis. In this letter, we demonstrate two results. First, we derive bounds for the bias in nonspatial models with omitted spatially-lagged predictors or outcomes. These bias expressions can be obtained without prior knowledge of the network, and are more informative than familiar omitted variable bias formulas. Second, we derive bounds for the bias in spatial econometric models wit...     »
Stichworte:
networks; spatial econometrics; bounds
Intellectual Contribution:
Discipline-based Research
Zeitschriftentitel:
Political Analysis
Journal gelistet in FT50 Ranking:
nein
Jahr:
2021
Band / Volume:
29
Heft / Issue:
2
Seitenangaben Beitrag:
260-266
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1017/pan.2020.26
WWW:
https://www.cambridge.org/core/journals/political-analysis/article/abs/bias-from-network-misspecification-under-spatial-dependence/FAFE3EE2852CB26E03C212389D78DABA#fndtn-metrics
Verlag / Institution:
Cambridge University Press (CUP)
E-ISSN:
1047-19871476-4989
Publikationsdatum:
23.11.2020
Urteilsbesprechung:
0
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
commissioned:
not commissioned
Technology:
Nein
Interdisziplinarität:
Nein
Leitbild:
;
Ethics und Sustainability:
Nein
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