Jump to ContentJump to Main Navigation
Advances in Info-MetricsInformation and Information Processing across Disciplines$
Users without a subscription are not able to see the full content.

Min Chen, J. Michael Dunn, Amos Golan, and Aman Ullah

Print publication date: 2020

Print ISBN-13: 9780190636685

Published to Oxford Scholarship Online: December 2020

DOI: 10.1093/oso/9780190636685.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 13 June 2021

Info-metric Methods for the Estimation of Models with Group-Specific Moment Conditions

Info-metric Methods for the Estimation of Models with Group-Specific Moment Conditions

(p.349) 13 Info-metric Methods for the Estimation of Models with Group-Specific Moment Conditions
Advances in Info-Metrics

Martyn Andrews

Alastair R. Hall

Rabeya Khatoon

James Lincoln

Oxford University Press

Motivated by empirical analyses in economics using repeated cross-sectional data, we propose info-metric methods (IM) for estimation of the parameters of statistical models based on the information in population moment conditions that hold at group level. The info-metric estimation can be viewed as the primary approach to a constrained optimization. The estimators can also be obtained via the dual approach to this optimization, known as generalized empirical likelihood (GEL). In Andrews, Hall, Khatoon and Lincoln (2019), we provide a comprehensive framework for inference based on GEL with the grouped-specific moment conditions. In this chapter, we compare the computational requirements of the primary and dual approaches. We also describe the IM/GEL inference framework in the context of a linear regression model that is estimated using the information that the mean of the error is zero for each group. For the latter setting, we use analytical arguments and a small simulation study to compare the properties of IM/GEL-based inferences to those of inferences based on certain extant methods. The IM/GEL methods are illustrated through an application to estimation of the returns to education in which the groups are defined via information on family background.

Keywords:   microeconometrics, repeated cross-sectional data, pseudo-panel methods, generalized empirical likelihood, generalized method of moments

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .