In the first chapter, I study the effects of innovations in information technology on the housing market. Specifically, I focus on the improved ability of lenders to assess the credit risk of home buyers, which has become possible with the emergence of automated underwriting systems in the United States in the mid-1990s. I develop a standard life-cycle model with incomplete markets and idiosyncratic income uncertainty. I explicitly model the housing tenure choice of the households: rent/purchase decision for renters and stay/sell/default decision for homeowners. Risk-free lenders offer mortgage contracts to prospective home buyers and the terms of these contracts depend on the observable characteristics of households. Households are born as either good credit risk types--having a high time discount factor--or bad types--having a low time discount factor. The type of the household is the only source of asymmetric information between households and lenders. I find that as lenders have better information about the type of households, the average down payment fraction decreases together with an increase in the average mortgage premium, the foreclosure rate, and the dispersions of mortgage interest rates and down payment fractions, which are consistent with the trends in the housing market in the last 15 years. From a welfare perspective, I find that better information, on average, makes households better off. In the second chapter, I focus on the labor market behavior of couples. Search theory routinely assumes that decisions about the acceptance/rejection of job offers (and, hence, about labor market movements between jobs or across employment states) are made by individuals acting in isolation. In reality, the vast majority of workers are somewhat tied to their partners--in couples and families--and decisions are made jointly. This chapter studies, from a theoretical viewpoint, the joint job-search and location problem of a household formed by a couple (e.g., husband and wife) who perfectly pool income. The objective of the exercise, very much in the spirit of standard search theory, is to characterize the reservation wage behavior of the couple and compare it to the single-agent search model in order to understand the ramifications of partnerships for individual labor market outcomes and wage dynamics. We focus on two main cases. First, when couples are risk averse and pool income, joint-search yields new opportunities--similar to on-the job search--relative to the single-agent search. Second, when couples face offers from multiple locations and a cost of living apart, joint-search features new frictions and can lead to significantly worse outcomes than single-agent search. Finally, in the third chapter, I focus on the relation between house prices and interest rates. Although interest rates and housing prices seem mostly to have a negative relation in the data, the relation does not seem to be stable. For example, the recent run up in the global housing prices is generally explained by globally low interest rates. On the other hand, there have been periods where housing prices and interest rates moved together. Motivated by these observations, I formulate a two period OLG model to find out the form of the relationship between interest rates and housing prices. It appears that the distribution of homeownership is also important for housing price dynamics. I show that housing prices in the equilibrium do not always have a negative relation with interest rates. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/18437 |
| Date | 16 October 2012 |
| Creators | Guler, Bulent, 1979- |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Format | electronic |
| Rights | Copyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works. |
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