Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286583 
Authors: 
Year of Publication: 
2023
Citation: 
[Journal:] SERIEs - Journal of the Spanish Economic Association [ISSN:] 1869-4195 [Volume:] 14 [Issue:] 3/4 [Year:] 2023 [Pages:] 417-433
Publisher: 
Springer, Heidelberg
Abstract: 
We consider point estimation and inference based on modifications of the profile likelihood in models for dyadic interactions between n agents featuring agent-specific parameters. The maximum-likelihood estimator of such models has bias and standard deviation of order n-1 and so is asymptotically biased. Estimation based on modified likelihoods leads to estimators that are asymptotically unbiased and likelihood ratio tests that exhibit correct size.
Subjects: 
Asymptotic bias
Dyadic data
Fixed effects
Undirected random graph
JEL: 
C23
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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