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Family economics uses economic concepts such as productions and decision making to understand family behavior. Economists place emphasis on the rule of families on labor supply, human capital investment, and consumption. In a household, the members choose the optimal time allocations between working, housework and leisure, and money between consumption

Family economics uses economic concepts such as productions and decision making to understand family behavior. Economists place emphasis on the rule of families on labor supply, human capital investment, and consumption. In a household, the members choose the optimal time allocations between working, housework and leisure, and money between consumption of different members and savings. One-Child policy and strong inter-generational connections cause unique family structure in China. Households of different generations provide income transfer and labor support to each other. Households consider these connections in their savings, labor supply, human capital investment, fertility and marriage decisions. Especially, strong intergenerational relationships in China are one cause of the high level of young female labor supply and high saving rate. I will investigate the rules of intergenerational relationships on household economic behavior.

Affirmative Action allocates college seats to a separate group. To evaluate the distribution effects of AA on discrete groups, we need to study household's strategic reactions on the rule of college seats allocation. The admission system of National College Entrance Examination in China is a type of AA. That distributes college seats by regions. I will use the rapid expansion of Chinese college enrollment as a natural experiment to check the households' reaction on AA and college expansion.

Media economics utilizes economic empirical and theoretical tools to figure out the social, cultural, and economic issues in media industries. The impact of online piracy on genuine products sales is under debate, because people cannot find representing proxies to evaluate piracy levels. I will use Chinese data to study the effects of online piracy on theater revenue.
ContributorsYue, Yang (Author) / Silverman, Daniel (Thesis advisor) / Kovrijnykh, Natalia (Committee member) / Veramendi, Gregory (Committee member) / Arizona State University (Publisher)
Created2017
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Description
In this paper, I study many-to-one matching markets in a dynamic framework with the

following features: Matching is irreversible, participants exogenously join the market

over time, each agent is restricted by a quota, and agents are perfectly patient. A

form of strategic behavior in such markets emerges: The side with many slots can

manipulate

In this paper, I study many-to-one matching markets in a dynamic framework with the

following features: Matching is irreversible, participants exogenously join the market

over time, each agent is restricted by a quota, and agents are perfectly patient. A

form of strategic behavior in such markets emerges: The side with many slots can

manipulate the subsequent matching market in their favor via earlier matchings. In

such a setting, a natural question arises: Is it possible to analyze a dynamic many-to-one

matching market as if it were either a static many-to-one or a dynamic one-to-one

market? First, I provide sufficient conditions under which the answer is yes. Second,

I show that if these conditions are not met, then the early matchings are "inferior"

to the subsequent matchings. Lastly, I extend the model to allow agents on one side

to endogenously decide when to join the market. Using this extension, I provide

a rationale for the small amount of unraveling observed in the United States (US)

medical residency matching market compared to the US college-admissions system.

Micro Finance Institutions (MFIs) are designed to improve the welfare of the poor.

Group lending with joint liability is the standard contract used by these institutions.

Such a contract performs two roles: it affects the composition of the groups that form,

and determines the properties of risk-sharing among their members. Even though the

literature suggests that groups consist of members with similar characteristics, there

is evidence also of groups with heterogeneous agents. The underlying reason is that

the literature lacked the risk-sharing behavior of the agents within a group. This

paper develops a model of group lending where agents form groups, obtain capital

from the MFI, and share risks among themselves. First, I show that joint liability

introduces inefficiency for risk-averse agents. Moreover, the composition of the groups

is not always homogeneous once risk-sharing is on the table.
ContributorsAltinok, Ahmet (Author) / Chade, Hector (Thesis advisor) / Manelli, Alejandro (Committee member) / Friedenberg, Amanda (Committee member) / Kovrijnykh, Natalia (Committee member) / Arizona State University (Publisher)
Created2020