Thesis advisor: Matthew O. Jackson / In this dissertation, I focus on networks in macroeconomics and finance. In Chapter 1, I develop a theoretical model of rescue of distressed financial institutions. I study rescues in a coalition formation framework, which provides new insights into the financial contagion and stability and rescue of systemically important financial institutions. The findings show that the levels of negative shock, bankruptcy costs, interbank obligations of each financial firm and the topology of the interbank network all together determine financial firms’ contributions in rescues, where government assistance in rescues is not required in certain types of network structures. In Chapter 2, which is a joint work with Matthew O. Jackson, we study the impacts of sector level technological changes on wage inequality and GDP growth in production networks. Our results show that the macroeconomic implications of sector level technological changes depend on additional factors than the input-output structure such as type of the intermediate good (e.g., substitutes for labor vs complements to labor), task weights in production processes and labor supply. Chapter 1. I model bank rescues in a setting where banks hold each other’s financial instruments creating a network of financial linkages. Costly bankruptcies reduce interbank payments, which creates incentives for rescues by other banks. Accordingly, I analyze the sources of inefficiencies in bank rescues and show that the social welfare is maximized if regulators promote financial networks that are evenly connected (without disconnectedness/clustering) and have intermediate levels of interbank liabilities at bank level. Such networks maximize banks’ total contributions to the rescue of a distressed bank hit by a relatively small negative shock, but also ensure that banks do not fail sequentially like dominos when a bank hit by a large shock does actually fail. The results also provide a rationale for why some systemically important banks were not rescued in 2007-2008. In the model, a social welfare maximizing government assists the rescues designed to prevent the potential contagious failures and maintain financial stability instead of assisting the rescue of a bank that is hit by a large shock. Chapter 2. We study the impact of technological change on wage inequality and GDP growth in production networks. We do this in a simple model that contrasts the effects of changes in intermediate goods that substitute for labor with those that complement labor. Technological changes in intermediate goods that complement labor result in increased GDP and do not change relative wages. Technological changes in intermediate goods that substitute for (low-skilled) labor involve three phases: pre-automation, transition to automation, and post-automation. During the transition phase, technological changes in such intermediate good lead to increased wage inequality and relatively smaller increases in GDP than comparable changes in complementary goods. In addition, our results show that firm-level weights of tasks performed by different types of labor play key roles in macroeconomic network consequences of interconnectedness. / Thesis (PhD) — Boston College, 2018. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Economics.
| Identifer | oai:union.ndltd.org:BOSTON/oai:dlib.bc.edu:bc-ir_108184 |
| Date | January 2018 |
| Creators | Kanik, Zafer |
| Publisher | Boston College |
| Source Sets | Boston College |
| Language | English |
| Detected Language | English |
| Type | Text, thesis |
| Format | electronic, application/pdf |
| Rights | Copyright is held by the author, with all rights reserved, unless otherwise noted. |
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