The Split Population Logit (SPopLogit): Modeling Measurement Bias in Binary Data-Reference-Cited by-同舟云学术

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The Split Population Logit (SPopLogit): Modeling Measurement Bias in Binary Data

Published:2011 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Beger Andreas,DeMeritt Jacqueline H.R.,Hwang Wonjae,Moore Will H.

Publisher

Elsevier BV

Reference75 articles.

1. Job Queues and the Union Status of Workers;John M Abowd;Industrial and Labor Relations Review,1982

2. Beyond 'Fixed versus Random Effects': A Framework for Improving Substantive And Statistical Analysis of Panel Time-Series Cross-Sectional and Multilevel Data;Brandon L Bartels;Poster presented at the Political Methodology Conference,2008

3. Time-Series-Cross Section Data;Nathaniel Beck;Annual Review of Political Science,2001

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1. A binary choice model with partial observability for panel data;Model Assisted Statistics and Applications;2020-12-25

2. Unreliable Inferences About Unobserved Processes: A Critique of Partial Observability Models;Political Science Research and Methods;2017-03-20

3. Distinguishing Occasional Abstention from Routine Indifference in Models of Vote Choice;Political Science Research and Methods;2015-08-13

4. Data-based Computational Approaches to Forecasting Political Violence;Handbook of Computational Approaches to Counterterrorism;2012-11-08

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