Jochmans, Koen (2023) Modified-likelihood estimation of fixed-effect model for dyadic data. Journal of the Spanish Economic Association, vol.14. pp. 417-433.
This is the latest version of this item.
Preview |
Text
Download (347kB) | Preview |
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.
Item Type: | Article |
---|---|
Language: | English |
Date: | 2023 |
Refereed: | Yes |
Uncontrolled Keywords: | Asymptotic bias, Dyadic data, Fixed effects, Undirected random graph |
JEL Classification: | C23 - Models with Panel Data |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Site: | UT1 |
Date Deposited: | 26 Jan 2024 15:03 |
Last Modified: | 15 Mar 2024 09:51 |
OAI Identifier: | oai:tse-fr.eu:129029 |
URI: | https://publications.ut-capitole.fr/id/eprint/48570 |
Available Versions of this Item
-
Modified-likelihood estimation of fixed-effect models for dyadic data. (deposited 26 Jan 2024 08:43)
- Modified-likelihood estimation of fixed-effect model for dyadic data. (deposited 26 Jan 2024 15:03) [Currently Displayed]