Core Determining Class and Inequality Selection
Ye Luo and
Hai Wang
American Economic Review, 2017, vol. 107, issue 5, 274-77
Abstract:
The relations between unobserved events and observed outcomes can be characterized by a bipartite graph. We propose an algorithm that explores the structure of the graph to construct the "exact Core Determining Class," i.e., the set of irredudant inequalities. We prove that in general the exact Core Determining Class does not depend on the probability measure of the outcomes but only on the structure of the graph. For more general linear inequalities selection problems, we propose a statistical procedure similar to the Dantzig Selector to select the truly informative constraints. We demonstrate performances of our procedures in Monte-Carlo experiments.
JEL-codes: C70 (search for similar items in EconPapers)
Date: 2017
Note: DOI: 10.1257/aer.p20171041
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.aeaweb.org/articles?id=10.1257/aer.p20171041 (application/pdf)
https://www.aeaweb.org/articles/attachments?retrie ... 73wyTaLnUrydWJ9Mw6gP (application/zip)
https://www.aeaweb.org/articles/attachments?retrie ... jBencsxK4oCrL-dqv4Sc (application/pdf)
https://www.aeaweb.org/articles/attachments?retrie ... N6sdRHM58cwgffmuLLQy (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aea:aecrev:v:107:y:2017:i:5:p:274-77
Ordering information: This journal article can be ordered from
https://www.aeaweb.org/journals/subscriptions
Access Statistics for this article
American Economic Review is currently edited by Esther Duflo
More articles in American Economic Review from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().