5,753 research outputs found
A Signaling Theory of Grade Inflation
When employers cannot tell whether a school truly has many good students or just gives easy grades, schools have an incentive to inflate grades to help mediocre students, despite concerns about preserving the value of good grades for good students. We construct a signaling model where grades are inflated in equilibrium. The inability to commit to an honest grading policy reduces the informativeness of grades and hurts schools. Grade inflation by one school makes it easier for another school to fool the market with inflated grades. Easy grades are strategic complements, providing a channel to make grade exaggeration contagious.
Suspense
In a dynamic model of sports competition, we show that when spectators care only about the level of effort exerted by contestants, rewarding schemes that depend linearly on the final score difference provide more efficient incentives for efforts than schemes based only on who wins and loses. This result is puzzling because rank order schemes are the dominant forms of reward in sports competitions. The puzzle can be explained if one takes into account the fact that spectators also care about the suspense in the game. We define spectators\\' demand for suspense as greater utility derived from contestants\\' efforts when the game is closer. As the demand for suspense increases, so does the advantage of rank order schemes relative to linear score difference schemes. When the demand for suspense is sufficiently high, the optimal rank order scheme dominates all linear score difference schemes, and with plausible additional restrictions, it dominates a broad class of incentive schemes that reward contestants on the basis of the final score difference.
Francois Gipouloux, The Asian Mediterranean: Port Cities and Trading Networks in China, Japan and Southeast Asia, 13th - 21st Century
Book Revie
A Method to Derive Rock Strength from the Drilling Response of Impregnated Diamond Bit
This research investigates the effect of rock strength on force responses associated with impregnated diamond drilling. The investigation involved coring activities ran on a well-engineered laboratory-scale drilling rig, drilling a collective amount of rock samples using industry graded bit. The experimentation came upon a particular rock-related parameter under the framework of a drilling model that demonstrates a robust linear relationship with rock strength. The investigation leads to estimate uniaxial compressive strength from drilling data
Projected Density Matrix Embedding Theory with Applications to the Two-Dimensional Hubbard Model
Density matrix embedding theory (DMET) is a quantum embedding theory for
strongly correlated systems. From a computational perspective, one bottleneck
in DMET is the optimization of the correlation potential to achieve
self-consistency, especially for heterogeneous systems of large size. We
propose a new method, called projected density matrix embedding theory
(p-DMET), which achieves self-consistency without needing to optimize a
correlation potential. We demonstrate the performance of p-DMET on the
two-dimensional Hubbard model.Comment: 25 pages, 8 figure
Magnetic and luminescent properties of multifunctional GdF₃: Eu³⁺ nanoparticles
Author name used in this publication: H. L. W. Chan2009-2010 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
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