201,592 research outputs found

    Quigley, M

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    Albert Mountain Quigley of Mobile, Alabama.

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    Quigley was married to Susie Owen Quigley. The back of the photograph is inscribed "Yours truly, A. M. Quigley, June 11, 1881.

    Jim Quigley, USU Accounting Alum and Global CEO for Deloitte, is Author of New Book

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    USU accounting alum and global CEO for Deloitte, Jim Quigley, has authored a soon-to-be released book entitled As One. This book provides an insightful look at management style and structure, and shows how melding leadership style with organizational architecture can contribute to powerful results. This book is apt to become a must read book for business students worldwide. You can begin to understand the concepts of “Individual Action. Collective Power.” at https://www.asone.org/asone.html. The School of Accountancy is proud to count Jim Quigley among its many outstanding alums, and looks forward to the upcoming release of this exciting new book.https://digitalcommons.usu.edu/huntsman_news/1000/thumbnail.jp

    Price Discovery in Time and Space: The Course of Condominium Prices in Singapore

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    Despite evidence that aggregate housing price are predictable, a random walk in time and independence in space are two maintained hypotheses in the empirical models for housing price measurement used by government and commercial companies. This paper examines the price discovery process in individual dwellings over time and space by relaxing both assumptions, using data from the Singapore private condominium market. We develop a model that tests directly the hypotheses that the prices of individual dwellings follow a random walk over time and that the price of an individual dwelling is independent of the price of a neighboring dwelling. The model is general enough to include other widely used models of housing price determination, such as Bailey, Muth, and Nourse (1963), Case and Shiller (1987) and Redfearn and Quigley (2000), as special cases. The empirical results clearly support mean reversion in housing prices and also diffusion of innovations over space. Our estimates of the level of housing prices, derived from a generalized repeat sales model, suggest that serial and spatial correlation matters in the computation of price indices and the estimation of price levels. investment returns is completely absent.

    Confidence intervals for reliability growth models with small sample sizes

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    Fully Bayesian approaches to analysis can be overly ambitious where there exist realistic limitations on the ability of experts to provide prior distributions for all relevant parameters. This research was motivated by situations where expert judgement exists to support the development of prior distributions describing the number of faults potentially inherent within a design but could not support useful descriptions of the rate at which they would be detected during a reliability-growth test. This paper develops inference properties for a reliability-growth model. The approach assumes a prior distribution for the ultimate number of faults that would be exposed if testing were to continue ad infinitum, but estimates the parameters of the intensity function empirically. A fixed-point iteration procedure to obtain the maximum likelihood estimate is investigated for bias and conditions of existence. The main purpose of this model is to support inference in situations where failure data are few. A procedure for providing statistical confidence intervals is investigated and shown to be suitable for small sample sizes. An application of these techniques is illustrated by an example

    Competitive interactions of attentional resources in early visual cortex during sustained visuospatial attention within or between visual hemifields: Evidence for the different-hemifield advantage

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    Performing a task across the left and right visual hemifields results in better performance than in a within-hemifield version of the task, termed the different-hemifield advantage. Although recent studies used transient stimuli that were presented with long ISIs, here we used a continuous objective electrophysiological (EEG) measure of competitive interactions for attentional processing resources in early visual cortex, the steady-state visual evoked potential (SSVEP). We frequency-tagged locations in each visual quadrant and at central fixation by flickering light-emitting diodes (LEDs) at different frequencies to elicit distinguishable SSVEPs. Stimuli were presented for several seconds, and participants were cued to attend to two LEDs either in one (Within) or distributed across left and right visual hemifields (Across). In addition, we introduced two reference measures: one for suppressive interactions between the peripheral LEDs by using a task at fixation where attention was withdrawn from the periphery and another estimating the upper bound of SSVEP amplitude by cueing participants to attend to only one of the peripheral LEDs. We found significantly greater SSVEP amplitude modulations in Across compared with Within hemifield conditions. No differences were found between SSVEP amplitudes elicited by the peripheral LEDs when participants attended to the centrally located LEDs compared with when peripheral LEDs had to be ignored in Across and Within trials. Attending to only one LED elicited the same SSVEP amplitude as Across conditions. Although behavioral data displayed a more complex pattern, SSVEP amplitudes were well in line with the predictions of the different-hemifield advantage account during sustained visuospatial attention

    Froth in the Silicon Valley Housing Market?

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    Santa Clara County in California was the world capital of the dot-com economy before the bubble burst. Yet since the dot-com bubble burst housing prices have continued to rise. John Quigley asks: What's going on?

    Federal credit and insurance programs: housing

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    This paper reviews the evolution of the major credit and insurance programs undertaken by the U.S. government in support of urban housing. As the review makes clear, the Federal Housing Administration (FHA), Veterans Administration, Federal National Mortgage Association, and Federal Home Loan Mortgage Corporation have played major roles in the development of liberal and efficient primary and secondary mortgage markets in the United States. The development of capacity in mortgage lending and securitization in the private sector does suggest, however, that federally subsidizing mortgage market activities can be restrained with little effect on homeownership-the principal goal of this federal activity. In particular, the orderly reduction in the mortgage investment activities of the government-sponsored enterprises (GSEs) and the imposition of guarantee fees on mortgage-backed securities insured by the GSEs are first steps in restraining federal activity. More generally, a concentration of FHA and GSE activity on first-time homebuyers would reduce federal risk exposure while preserving the economic rationale for government activity.Mortgage loans ; Housing - Finance
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