|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Replication Data for: "Hypothesis Tests Under Separation" |
|
Identification Number: |
doi:10.7910/DVN/6EYRJG |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2023-07-31 |
|
Version: |
1 |
|
Bibliographic Citation: |
Rainey, Carlisle, 2023, "Replication Data for: "Hypothesis Tests Under Separation"", https://doi.org/10.7910/DVN/6EYRJG, Harvard Dataverse, V1 |
|
Citation |
|
|
Title: |
Replication Data for: "Hypothesis Tests Under Separation" |
|
Identification Number: |
doi:10.7910/DVN/6EYRJG |
|
Authoring Entity: |
Rainey, Carlisle (Florida State University) |
|
Producer: |
<i>Political Analysis</i> |
|
Distributor: |
Harvard Dataverse |
|
Access Authority: |
Rainey, Carlisle |
|
Depositor: |
Rainey, Carlisle |
|
Date of Deposit: |
2023-04-10 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/6EYRJG |
|
Study Scope |
|
|
Keywords: |
Social Sciences |
|
Abstract: |
Separation commonly occurs in political science, usually when a binary explanatory variable perfectly predicts a binary outcome. In these situations, methodologists often recommend penalized maximum likelihood or Bayesian estimation. But researchers might struggle to identify an appropriate penalty or prior distribution. Fortunately, I show that researchers can easily test hypotheses about the model coefficients with standard frequentist tools. While the popular Wald test produces misleading (even nonsensical) p-values under separation, I show that likelihood ratio tests and score tests behave in the usual manner. Therefore, researchers can produce meaningful p-values with standard frequentist tools under separation without the use of penalties or prior information. |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Other Study Description Materials |
|
|
Label: |
cc-wilks.pdf |
|
Text: |
Computational Companion |
|
Notes: |
application/pdf |
|
Label: |
rainey-2023-pa.zip |
|
Text: |
Reproduction archive |
|
Notes: |
application/zip |
|
Label: |
wilks.pdf |
|
Text: |
Manuscript |
|
Notes: |
application/pdf |