Jochmans, Koen (2023) Many (Weak) Judges in Judge-Leniency Designs. TSE Working Paper, n. 23-1481, Toulouse
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Abstract
Judge-lenciency designs are very popular. Evaluating whether conventional inference procedures apply to it is not immediate. We frame such designs as an inference problem from grouped data in a setting with a growing number of groups and limited variation between groups. Such an asymptotic approximation is well suited for the data sets encountered in practice. The two-stage least-squares estimator should never be used. The jackknife instrumental-variable estimator can present a reliable tool for inference, provided that a non-standard asymptotic-variance estimator is used along with it. Conventional decision rules to gauge instrument strength are typically not valid in our setting. An alternative such decision rule is provided and is found to perform well.
Item Type: | Monograph (Working Paper) |
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Language: | English |
Date: | October 2023 |
Place of Publication: | Toulouse |
Uncontrolled Keywords: | bias, examiner design, fixed effects, inference, jackknife, weak instruments |
JEL Classification: | C23 - Models with Panel Data |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Institution: | Université Toulouse Capitole |
Site: | UT1 |
Date Deposited: | 17 Oct 2023 08:50 |
Last Modified: | 15 Mar 2024 09:39 |
OAI Identifier: | oai:tse-fr.eu:128619 |
URI: | https://publications.ut-capitole.fr/id/eprint/48326 |