and evidential decision procedures. It will also be argued in turn that the updateless decision procedure dominates the timeless decision procedure. The difficulties of formalizing a modern variant of the ”smoking gene” problem will then be briefly examined.
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.
Previous studies about the effects of regulatory institutions on the outcomes of regulation have resulted in a lack of consensus on the nature of these impacts. This paper seeks to resolve some of this ambiguity by analyzing two dimension of electric utility regulatory outcomes, prices and reliability, with a broader panel of explanatory variables and with a Hausman-Taylor regression technique. The results suggest that elected regulators and deregulated electricity markets result in worse reliability outcomes for consumers without strong evidence that either institution secures lower electricity prices. Incorporating these insights into a theoretical model of regulation could give more detailed insight into how to create regulatory institutions that can optimize the outcomes of governance.
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.