The Dynamic Link Between Inequality and Economic Growth: A Stochastic Approach

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2015
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Haverford College. Department of Economics
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Thesis
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Award
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eng
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Haverford users only
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Abstract
In this thesis I present a theoretical, neoclassical growth model with a rigorous microeconomic foundation that examines the bidirectional dynamic link between inequality and economic growth. I take a standard Real Business Cycle model and augment the production function to incorporate human capital in accordance with the Mankiw, Romer, and Weil (1992) extension to the standard Solow Growth Model. My thesis contributes to the scope and detail of the existing literature, adding a spectrum of heterogeneous households differentiated in size, asset holdings, and stock of human capital. I utilize a Markov Transition Matrix to capture the stochastic and persistent nature of the business cycle and extend investment in human capital at the microeconomic level. I introduce two frictions to propagate inequality shocks from the microeconomic to the macroeconomic level: imperfect capital markets and discrete human capital. Results indicate that the relationship between inequality and growth is complex, but that stable growth occasionally decreases the income Gini Coefficient. The introduced frictions and nature of the model combine to generate patterns of investment shocks and capital depreciation that prevent the economy from reaching the steady-state achieved by the social planner or competitive markets, indicating that reducing the severity of frictions leads to economic stability and a Pareto Efficient improvement for the economy in the long-run.
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