Three Essays in Structural Estimation: Models of Matching and Asymmetric Information

atmire.migration.oldid2094
dc.contributor.advisorChoo, Eugene
dc.contributor.authorChen, Liang
dc.date.accessioned2014-05-01T21:34:13Z
dc.date.available2014-06-16T07:00:38Z
dc.date.issued2014-05-01
dc.date.submitted2014en
dc.description.abstractThere is growing interest in using structural estimation methods to address economic questions. There are two main two advantages of using structural estimation methods. First, they can solve the endogeneity problem confronting numerous reduced-form regression works. Second, they estimate the deep parameters of the models, which allows researchers to analyze many interesting economic questions through counterfactual analysis. In this dissertation, I study three di erent economic questions by structurally estimating models of matching and asymmetric information. In the rst chapter, I develop an estimable model which illustrates that the presence of moral hazard not only leads to ine ciency caused by risk sharing across rms and CEOs, but also creates ine ciency due to a talent misallocation. A new empirical method is proposed to identify the separate surplus of both rms and CEOs in a matching market with moral hazard. An application of this method to the U.S market for CEOs shows that the aggregate e ciency loss due to talent misallocation is $12:64 billion. This is more than four times as large as the loss stemming from risk-sharing between rms and CEOs. In the second chapter, my coauthor and I propose a new approach to identify models with network e ects by invoking another side of the market. We show that other side of the market provides additional information for identi cation. Our running application investigates the importance of asymmetric information and network e ects in the yellow pages advertising industry. In the third chapter, I study estimation and non-parametric identi cation of a dynamic matching model with a broader class of generalized unobserved heterogeneities. I rst provide the identi cation results on the match surplus. I then show that the match equilibrium exists and is globally unique. Finally, I provide a new estimation method for our dynamic matching model, which provides more precise estimates than previous methods.en_US
dc.identifier.citationChen, L. (2014). Three Essays in Structural Estimation: Models of Matching and Asymmetric Information (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/28443en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/28443
dc.identifier.urihttp://hdl.handle.net/11023/1474
dc.language.isoeng
dc.publisher.facultyArts
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEconomics--Finance
dc.subject.classificationStructural Estimationen_US
dc.titleThree Essays in Structural Estimation: Models of Matching and Asymmetric Information
dc.typedoctoral thesis
thesis.degree.disciplineEconomics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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