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This dissertation studies two wide ranging phenomena and their socio-economic impacts: urban divergence in terms of geographical skill sorting and fast rising housing prices. The first essay explores the empirical pattern as well as the driving forces behind the American cities’ diverging path over the past forty years. Compared to

This dissertation studies two wide ranging phenomena and their socio-economic impacts: urban divergence in terms of geographical skill sorting and fast rising housing prices. The first essay explores the empirical pattern as well as the driving forces behind the American cities’ diverging path over the past forty years. Compared to the rest of the U.S. cities, the top 20 largest cities have been growing faster in several aspects, such as city-average wage, housing price, and measured innovation intensity (e.g., patents, venture capital). In addition, this geographical divergence has contributed substantially to the rising inequality in America. To explore the causes of this divergence, this paper constructs a spatial sorting model where entrepreneurs with different talents can freely move across cities. The key idea is that cities with advantages in innovation attract more productive entrepreneurs and more workers, thereby driving up wages and housing prices. Two things distinguish my models from others: 1. Large cities are having endogenous innovation advantage in equilibrium; 2. I can freely explore the driving forces behind the divergence, with an emphasis on how technology changes can reinforce the spatial sorting mechanism. Specifically, three types of technological changes have increased the benefits of skill clustering in innovative cities: general productivity increases; improvements in communications technologies; and declines in trade costs.

The second essay studies how heterogeneous households respond to the fast rising housing prices through their life-cycle behaviors. Chinese housing market has been undergoing a rapid booming period since 1998, causing the house prices increasing significantly. As a result, households endured severe financial burdens to buy homes at price-to-income ratios of around six. Along with the rising house prices, household savings rate has been increasing consistently since 1998. Can the rising house prices be an important factor to explain the increase in household saving rate? This paper develops a life cycle dynastic model with endogenous choice on housing, coresidence and intergenerational transfer, then quantitatively analyze the effect of housing price on household saving. It shows that housing is an important motive for saving, and it accounts for about 35% of the increase in household savings rate. The housing situation affects households’ saving behavior through three channels. First, households are financially constrained due to the down payment requirement and they choose to limit their consumption in order to buy houses. Second, young adults live in their parents’ houses for a long time and save more intensively, since they get to pay less for the housing expenses under coresidence. Thirdly, older parents make large sum of intergeneration transfer in aid of the children’s housing purchase, indicating the housing affordability issue also has influence on old parents’ saving decisions.
ContributorsSun, Minjuan (Author) / Schoellman, Todd (Thesis advisor) / Ventura, Gustavo (Committee member) / Vereshchagina, Galina (Committee member) / Arizona State University (Publisher)
Created2018
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This paper explores the potential impact of population aging trends on support for the financing of public education using an applied theoretical approach. As demographic projections anticipate significant increases in the relative share of elderly individuals in the population, the question of how age distribution in a population effects support

This paper explores the potential impact of population aging trends on support for the financing of public education using an applied theoretical approach. As demographic projections anticipate significant increases in the relative share of elderly individuals in the population, the question of how age distribution in a population effects support for public goods such as education becomes increasingly significant. Conventional wisdom suggests that an upward shift in age distribution – increasing the share of elderly individuals relative to workers – will result in decreased support for public education due to elderly individuals’ lack of utility from investments in future productivity. This paper demonstrates that such conventional wisdom does not hold in a simple two-district overlapping generations model and shows that an increasing share of elderly individuals in the population may result in increased levels of funding for education due to changes in a district’s tax base.

The model developed in this paper builds on the work of Mark Gradstein and Michael Kaganovich who demonstrated that while increasing longevity in a two-generation OLG model with two municipal districts creates a downward pressure on tax rates, this effect is dominated by changing political incentives among workers. This paper expands upon the Gradstein-Kaganovich model by introducing endogenous migration rates between districts in the model in order to reflect households’ incentives to minimize tax burden in retirement. It can be shown that as consumers’ responsiveness to differences in tax rates increases, the difference in education funding levels between districts decreases despite the difference in the relative share of elderly individuals in each population increasing. This result stems from the changes in each districts’ tax base brought on by the endogenous migration rate. Based on this finding, this study concludes that retirees function as a positive financial externality when education funding is tied to consumption levels and reaffirms Gradstein and Kaganovich’s conclusion that increasing the relative share of elderly individuals in a population does not necessarily result in decreased funding for public education as conventional wisdom would suggest.
ContributorsMerkle, Matthew Connor (Author) / Foster, William (Thesis director) / Murphy, Alvin (Committee member) / Department of Economics (Contributor, Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05