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dc.contributor.advisorRust, Johnen_US
dc.contributor.authorBandeh-Ahmadi, Ayehen_US
dc.date.accessioned2014-06-24T05:40:47Z
dc.date.available2014-06-24T05:40:47Z
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1903/15165
dc.description.abstractI measure information on distinct facets of quality from a corpus of reviews and characterize how decision-makers integrate this information present in text with that available through other channels. Specifically, I demonstrate that referee comments at a scholarly journal contain information on submissions' future citation impact above and beyond information available in referee scores. I measure this signal on future citation impact and show that it does not enter into editorial decision-making directly but rather through an interaction that amplifies the information content of referee scores: the more citations a low- or mediocre-scoring paper is likely to get the less likely it is to be published. Secondly, I describe referee comments that are highly predictive of greater citations. Papers that referees say have access to unique datasets, or are written on topics of relevance to ongoing debates or government applications receive greater citations on average. Third, I show the appearance of favoritism amongst editors who accept a higher share of papers that cite themselves is partly a reflection of an ability to draw and select for papers that receive more citations. Finally, I characterize budget constraints on publication space and referee capital and provide some guidance on what types of information editorial systems could capture to promote transparency in future analyses while protecting privacy of authors or referees. A second chapter introduces a theoretical framework for assessing the empirical discussion of asymmetric information amongst mortgage lenders and adds the idea of lender competition into this framework.en_US
dc.language.isoenen_US
dc.titleAccounting for Information: Case Studies in Editorial Decisions and Mortgage Marketsen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentEconomicsen_US
dc.subject.pqcontrolledEconomicsen_US
dc.subject.pqcontrolledFinanceen_US
dc.subject.pqcontrolledInformation scienceen_US
dc.subject.pquncontrolledcitation impacten_US
dc.subject.pquncontrolledinformation asymmetriesen_US
dc.subject.pquncontrolledrecommender systemsen_US
dc.subject.pquncontrolledsignaling and learningen_US
dc.subject.pquncontrolledtextual analysisen_US


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