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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.

In this study an attempt has been made to explore the role of technology transfer in the economic growth of Iraq, through the change in the technology itself for the period 1960-1978. For this purpose the economy was disaggregated into seven sectors. The experience of developed countries has shown that technical change is one of the most important factors of economic growth alongside, or even overshadowing, such factors as labour and capital. In the light of technology transfer, developing countries have the advantage of introducing high levels of advancement of knowledge which can be used to induce domestic technical change at later stages. Technical change is normally defined as a shift in the production function, and for this reason two forms of production function were estimated and tested, i. e. the constant elasticity of substitution and the Cobb-Douglas function. Also two specifications (constant and variable) were assigned to technical change. To validate the use of these, statistical tests were conducted to establish the optimum fit. Then the selected form was used to simulate output levels for comparison with actual figures. The techniques used for estimation are both linear and non-linear. Data used are time series in real terms of capital stock and output, as well as number of persons employed. Furthermore in order to judge the importance of technical change to the growth of output on aggregate and sectoral levels, as regards economic growth, comparisons were drawn with existing data from other developed and developing countries, including centrally planned economies.