Adam Sheridan forsvarer sin ph.d.-afhandling

Adam Sheridan forsvarer sin ph.d.-afhandling: "Essays on Banks, Insurance, and Social Networks"


Kandidat:

Adam Sheridan

Titel

"Essays on Banks, Insurance, and Social Networks". Det vil være muligt før forsvaret at rekvirere en kopi af afhandlingen ved henvendelse til Informationen (26.0.20), Økonomisk Institut.

Tid og sted

29. marts 2019 kl. 14:00, CSS, Øster Farimagsgade 5, 1353 København K, bygning 26, lokale 26.2.21. Af hensyn til kandidaten lukkes dørene præcis.


Bedømmelsesudvalg

Professor David Dreyer Lassen, Økonomisk Institut, Københavns Universitet, Danmark (formand)
Seniorforsker Andreas Fagereng, Statistics  Norge, Norge
Lektor Kaveh Majlesi, Lund Universitet, Sverige,

Abstract

This thesis consists of four self-contained chapters. In the first chapter, written together with Rajkamal Iyer, Thais Jensen, and Niels Johannesen, we provide empirical evidence of the distortive effects of too-big-to-fail guarantees on bank competition for retail deposits. In the second chapter, written together with Asger Lau Andersen, Amalie Sofie Jensen, Niels Johannesen, Claus Thustrup Kreiner, and Søren Leth-Petersen, we provide precise and comprehensive evidence on how households respond to unemployment shocks by linking multiple high-frequency administrative data sets from government agencies, covering the entire Danish population, with transaction-level data from a major bank. In the third chapter, written together with Asger Lau Andersen, and Niels Johannesen, we combine transaction-level customer records from a large retail bank with government registers in order to construct a unique dataset with high-frequency information on income, spending, and intra-family bank transfers and we use these data to produce new evidence on intra-family insurance. In the fourth and final chapter, I demonstrate how the increasing popularity of mobile money transfer apps is generating population-scale data on real world social interactions, presenting researchers with an opportunity to better comprehend social networks and their role in social and economic behavior.