|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Estimating Legislators' Preferred Points |
|
Identification Number: |
doi:10.7910/DVN/PJBYPC |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2009-12-11 |
|
Version: |
1 |
|
Bibliographic Citation: |
John Londregan, 2009, "Estimating Legislators' Preferred Points", https://doi.org/10.7910/DVN/PJBYPC, Harvard Dataverse, V1 |
|
Citation |
|
|
Title: |
Estimating Legislators' Preferred Points |
|
Identification Number: |
doi:10.7910/DVN/PJBYPC |
|
Authoring Entity: |
John Londregan (University of California, Los Angeles) |
|
Producer: |
Political Analysis |
|
Distributor: |
Harvard Dataverse |
|
Distributor: |
Murray Research Archive |
|
Date of Deposit: |
2009-12-11 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/PJBYPC |
|
Study Scope |
|
|
Abstract: |
This paper shows that agnostic spatial models that simultaneously attempt to estimate legislators’ preferred points and ideological locations for the proposals on which they vote, such as the well-known NOMINATE model of Poole and Rosenthal, are not identified. The problem arises because the agnostic estimators inherit the granularity of the voting data and, so, cannot recapture the underlying continuous parameter space. I propose an alternative estimator that achieves identification by modeling the agenda. |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
|
Other Study Description Materials |
|
|
Label: |
Estimating Legislators’ Preferred Points.pdf |
|
Text: |
Original Article |
|
Notes: |
application/pdf |