Data · dataset · 2010
Replication data for: Bias in Conditional and Unconditional Fixed Effects Logit Estimation: A Correction
Listed in Harvard Dataverse
In a recent paper published in this journal, Katz (2001) compares the bias in conditional and unconditional fixed effects logit estimation using Monte Carlo Simulation.
Description
This note shows that while Katz's (2001) specification has "wrong" fixed effects (in the sense that the fixed effects are the same for all individuals), his conclusions still hold if I correct his specification (so that the fixed effects do differ over individuals).
This note also illustrates the danger, when using logit, of including dummies when no fixed effects are present.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2F41HIQD ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/41hiqd ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/41HIQD | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[method].local:method:simulation | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |