1,451 research outputs found
The Stability of Price Dispersion under Seller and Consumer Learning
In many markets it is possible to find rival sellers charging different prices for the same good. Earlier research has attempted to explain this phenomenon by demonstrating the existence of dispersed price equilibria when consumers must make use of costly search to discover prices. We ask whether such equilibria can be learnt when sellers adjust proces adaptively in response to current market conditions. With consumer behaviour fixed, convergence to a dispersed porce equilibrium is possible in some cases. However, once consumer learning is introduced, the monopoly outcome first found by Diamond (1971) is the only stable equilibrium.Learning, Evolution, Search, Price Dispersion
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The Impact of Selected Behavioral Sciences upon Introductory Marketing Courses at Collegiate Schools of Business Administration
The principal problem involved in this study is the impact of selected behavioral sciences upon the introductory marketing courses at collegiate schools of business administration
Richard J. Hopkins: a rhetorical analysis
Call number: LD2668 .T4 1969 H67Master of Scienc
Additively manufacturable micro-mechanical logic gates.
Early examples of computers were almost exclusively based on mechanical devices. Although electronic computers became dominant in the past 60 years, recent advancements in three-dimensional micro-additive manufacturing technology provide new fabrication techniques for complex microstructures which have rekindled research interest in mechanical computations. Here we propose a new digital mechanical computation approach based on additively-manufacturable micro-mechanical logic gates. The proposed mechanical logic gates (i.e., NOT, AND, OR, NAND, and NOR gates) utilize multi-stable micro-flexures that buckle to perform Boolean computations based purely on mechanical forces and displacements with no electronic components. A key benefit of the proposed approach is that such systems can be additively fabricated as embedded parts of microarchitected metamaterials that are capable of interacting mechanically with their surrounding environment while processing and storing digital data internally without requiring electric power
Going, going, gone the diminishing capacity of museum specimen collections to address global change research: A case study on urban reptiles
It has been increasingly popular to use natural history specimens to examine environmental changes. As the current functionality of museum specimens has extended beyond their traditional taxonomic role, there has been a renewed focus on the completeness of biological collections to provide data for current and future research. We used the collections of the Western Australian Museum to answer questions about the change in occurrence of five common reptile species due to the rapid urbanization of Perth. We recorded a significant decline in collection effort from the year 2000 onwards (F = 7.65, p \u3c 0.01) compared to the period 1990–1999. Spatial analysis revealed that only 0.5% of our study region was well sampled, 8.5% were moderately sampled and the majority of the regions (91%) were poorly sampled. By analysing the trend of specimen acquisition from 1950 to 2010, we discovered a significant inconsistency in specimen sampling effort for 13 common reptile species across time and space. A large proportion of past specimens lacked information including the place and time of collection. An increase in investment to museums and an increase in geographically and temporally systematic collecting is advocated to ensure that collections can answer questions about environmental change
Predictions of Quasar Clustering: Redshift, Luminosity and Selection Dependence
We show that current clustering observations of quasars and luminous AGN can
be explained by a merger model augmented by feedback from outflows. Using
numerical simulations large enough to study clustering out to 25 comoving
h^{-1} Mpc, we calculate correlation functions, biases, and correlation lengths
as a function of AGN redshift and optical and X-ray luminosity. At optical
wavelengths, our results match a wide range of current observations and
generate predictions for future data sets. We reproduce the weak luminosity
dependence of clustering over the currently well-measured range, and predict a
much stronger dependence at higher luminosities. The increase in the amplitude
of binary quasar clustering observed in the Sloan Digital Sky Survey (SDSS) is
also reproduced and is predicted to occur at higher redshift, an effect that is
due to the one halo term in the correlation function. On the other hand, our
results do not match the rapid evolution of the correlation length observed in
the SDSS at z\simeq 3, a discrepancy that is at least partially due to
differences in the scales probed by our simulation versus this survey. In fact,
we show that changing the distances sampled from our simulations can produce
changes as large as 40% in the fitted correlation lengths. Finally, in the
X-ray, our simulations produce correlation lengths similar to that observed in
the Chandra Deep Field (CDF) North, but not the significantly larger
correlation length observed in the CDF South.Comment: 13 page, 7 figures. Accepted for publication in Ap
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