71 research outputs found

    The Predictive Utility of Generalized Expected Utility Theories

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    Many alternative theories have been proposed to explain violations of expected utility (EU) theory observed in experiments. Several recent studies test some of these alternative theories against each other. Formal tests used to judge the theories usually count the number of responses consistent with the theory, ignoring systematic variation in responses that are inconsistent. We develop a maximum-likelihood estimation method which uses all the information in the data, creates test statistics that can be aggregated across studies, and enables one to judge the predictive utility-the fit and parsimony-of utility theories. Analyses of 23 data sets, using several thousand choices, suggest a menu of theories which sacrifice the least parsimony for the biggest improvement in fit. The menu is: mixed fanning, prospect theory, EU, and expected value. Which theories are best is highly sensitive to whether gambles in a pair have the same support (EU fits better) or not (EU fits poorly). Our method may have application to other domains in which various theories predict different subsets of choices (e.g., refinements of Nash equilibrium in noncooperative games)

    Addressing Measurement Error Bias in Nurse Staffing Research

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    To assess the extent of measurement error bias due to methods used to allocate nursing staff to the acute care inpatient setting and to recommend estimation methods designed to overcome this bias

    Does Convergence of Accounting Standards Lead to the Convergence of Accounting Practices? A Study from China

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    In this empirical study we examine whether China\u27s efforts to converge domestic accounting standards with International Financial Reporting Standards (IFRS) over the past 15 years have resulted in the successful convergence of Chinese listed firms. This study is unique in that we evaluate convergence of firms\u27 accounting practices from three perspectives: (1) the level of compliance with Chinese GAAP and IFRS, (2) the consistency of accounting choices under Chinese GAAP and IFRS, and (3) identification of significant differences in the net incomes produced under Chinese GAAP and IFRS (earnings gap). Using the 1999 and 2002 annual reports of 79 Chinese listed firms we find improvement in both compliance with IFRS and in the consistency of the accounting methods used in annual reports prepared under Chinese GAAP and IFRS. We also find a reduction in the earnings gap from 1999 to 2002. However, interestingly we observed that Chinese listed firms\u27 compliance with IFRS is significantly lower than their compliance with Chinese GAAP. Overall we believe that our findings suggest that in China the convergence of accounting standards has been a conduit to the convergence of accounting practices

    Minimum Nurse Staffing Legislation and the Financial Performance of California Hospitals

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    To estimate the effect of minimum nurse staffing ratios on California acute care hospitals’ financial performance

    The Effect of Minimum Nurse Staffing Legislation on Uncompensated Care Provided by California Hospitals

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    This study assesses whether California’s minimum nurse staffing legislation affected the amount of uncompensated care provided by California hospitals. Using data from California’s Office of Statewide Health Planning and Development, the American Hospital Association Annual Survey and InterStudy, we divide hospitals into quartiles based on pre-regulation staffing levels. Controlling for other factors, we estimate changes in the growth rate of uncompensated care in the three lowest staffing quartiles relative to the quartile of hospitals with the highest staffing level. Our sample includes short-term general hospitals over the period 1999 to 2006. We find that growth rates in uncompensated care are lower in the first three staffing quartiles as compared to the highest quartile; however, results are statistically significant only for county and for-profit hospitals in quartiles one and three. We conclude that minimum nurse staffing ratios may lead some hospitals to limit uncompensated care, likely due to increased financial pressure

    California's Minimum Nurse Staffing Legislation: Results from a Natural Experiment

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    To determine whether, following implementation of California's minimum nurse staffing legislation, changes in acuity-adjusted nurse staffing and quality of care in California hospitals outpaced similar changes in hospitals in comparison states without such regulations

    Author Correction: FAM222A encodes a protein which accumulates in plaques in Alzheimer’s disease (Nature Communications, (2020), 11, 1, (411), 10.1038/s41467-019-13962-0)

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    In the original version of the manuscript, the image shown in Figure 4g, bottom row (Aβ1–42 + rAggregatin), under “6h” was incorrect. This image incorrectly showed the same sample as shown in the original Figure 4g, top row (Aβ1–42), under “0.5h”. The correct version of figure 4g is as follows: (Figure presented.) which replaces the previous incorrect version: (Figure presented.)

    The genetic architecture of the human cerebral cortex

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    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder
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