The long-run costs of moderate inflation

Long-run price stability is generally considered to be a primary goal of monetary policymakers in many countries. One reason policymakers care about inflation is that it can harm economic performance. Numerous studies of the impact of inflation on economic performance have focused on whether increases in inflation reduce economic growth in the long run These studies have found that prolonged high inflation does in fact reduce economic growth, but they were not able to detect a significant long-run relationship between real growth and low or moderate inflation. Because anti-inflationary policies typically have short-run costs, such as higher unemployment and slower economic growth, the results from these studies may lead people to ask whether such policies are appropriate when inflation is low or moderate.> Hess and Morris contend that anti-inflationary policies may be appropriate, even if low to moderate long-run inflation does not reduce long-run growth, if inflation harms the economy in other ways. Three potentially harmful consequences of inflation are considered: (1) inflation uncertainty, (2) real growth variability, and (3) relative price volatility. These consequences are costly because they reduce economic efficiency and therefore the level of economic output and consumer welfare.> The authors discuss the costs of inflation uncertainty, real growth variability, and relative price volatility, and examine their empirical relationship with inflation. They show that inflation uncertainty, real growth variability, and relative price volatility all tend to rise as long-run inflation rises from low to moderate levels. As a result, they conclude that policymakers may find it justifiable to pursue anti-inflationary policies even when inflation is low.Inflation (Finance) ; Prices

Literacy and health outcomes: a cross-sectional study in 1002 adults with diabetes

BACKGROUND: Inconsistent findings reported in the literature contribute to the lack of complete understanding of the association of literacy with health outcomes. We evaluated the association between literacy, physiologic control and diabetes complications among adults with diabetes. METHODS: A cross-sectional study of 1,002 English speaking adults with diabetes, randomly selected from the Vermont Diabetes Information System, a cluster-randomized trial of a diabetes decision support system in a region-wide sample of primary care practices was conducted between July 2003 and March 2005. Literacy was assessed by the Short-Test of Functional Health Literacy in Adults. Outcome measures included glycated hemoglobin, low density lipoprotein, blood pressure and self-reported complications. RESULTS: After adjusting for sociodemographic characteristics, duration of diabetes, diabetes education, depression, alcohol use, and medication use we did not find a significant association between literacy and glycemic control (beta coefficent,+ 0.001; 95% confidence interval [CI], -0.01 to +0.01; P = .88), systolic blood pressure (beta coefficent, +0.08; 95% CI, -0.10 to +0.26; P = .39), diastolic blood pressure (beta coefficent, -0.03; 95% CI, -0.12 to +0.07, P = .59), or low density lipoprotein (beta coefficent, +0.04; 95% CI, -0.27 to +0.36, P = .77. We found no association between literacy and report of diabetes complications. CONCLUSION: These findings suggest that literacy, as measured by the S-TOFHLA, is not associated with glycated hemoglobin, blood pressure, lipid levels or self-reported diabetes complications in a cross-sectional study of older adults with diabetes under relatively good glycemic control. Additional studies to examine the optimal measurement of health literacy and its relationship to health outcomes over time are needed

Content Strategy Techniques Adoption and Impact at a Large Public University

Large public universities, like most organizations, are faced with the challenge of managing websites with thousands of pages and documents. The importance of the web as a primary communication tool raises the stakes and makes this challenge even greater. A discipline among web professionals known as content strategy promises to put order to content publishing and maintenance systems for more effective content. This study aims to determine whether organizations within a large public university are actually adopting these techniques, and what results they might be realizing in terms of effectiveness and efficiency. Through a literature review and analysis of the results of a survey sent to web communication professionals, several recommendations are made for improving organization websites and the systems that publish them

A Parameterization Invariant Approach to the Statistical Estimation of the CKM Phase α\alpha

In contrast to previous analyses, we demonstrate a Bayesian approach to the estimation of the CKM phase $\alpha$ that is invariant to parameterization. We also show that in addition to {\em computing} the marginal posterior in a Bayesian manner, the distribution must also be {\em interpreted} from a subjective Bayesian viewpoint. Doing so gives a very natural interpretation to the distribution. We also comment on the effect of removing information about $\mathcal{B}^{00}$.Comment: 14 pages, 3 figures, 1 table, minor revision; to appear in JHE

The Single Item Literacy Screener: Evaluation of a brief instrument to identify limited reading ability

BACKGROUND: Reading skills are important for accessing health information, using health care services, managing one's health and achieving desirable health outcomes. Our objective was to assess the diagnostic accuracy of the Single Item Literacy Screener (SILS) to identify limited reading ability, one component of health literacy, as measured by the S-TOFHLA. METHODS: Cross-sectional interview with 999 adults with diabetes residing in Vermont and bordering states. Participants were randomly recruited from Primary Care practices in the Vermont Diabetes Information System June 2003 – December 2004. The main outcome was limited reading ability. The primary predictor was the SILS. RESULTS: Of the 999 persons screened, 169 (17%) had limited reading ability. The sensitivity of the SILS in detecting limited reading ability was 54% [95% CI: 47%, 61%] and the specificity was 83% [95% CI: 81%, 86%] with an area under the Receiver Operating Characteristics Curve (ROC) of 0.73 [95% CI: 0.69, 0.78]. Seven hundred seventy (77%) screened negative on the SILS and 692 of these subjects had adequate reading skills (negative predictive value = 0.90 [95% CI: 0.88, 0.92]). Of the 229 who scored positive on the SILS, 92 had limited reading ability (positive predictive value = 0.4 [95% CI: 0.34, 0.47]). CONCLUSION: The SILS is a simple instrument designed to identify patients with limited reading ability who need help reading health-related materials. The SILS performs moderately well at ruling out limited reading ability in adults and allows providers to target additional assessment of health literacy skills to those most in need. Further study of the use of the SILS in clinical settings and with more diverse populations is warranted

Simulations and cosmological inference: A statistical model for power spectra means and covariances

We describe an approximate statistical model for the sample variance distribution of the non-linear matter power spectrum that can be calibrated from limited numbers of simulations. Our model retains the common assumption of a multivariate Normal distribution for the power spectrum band powers, but takes full account of the (parameter dependent) power spectrum covariance. The model is calibrated using an extension of the framework in Habib et al. (2007) to train Gaussian processes for the power spectrum mean and covariance given a set of simulation runs over a hypercube in parameter space. We demonstrate the performance of this machinery by estimating the parameters of a power-law model for the power spectrum. Within this framework, our calibrated sample variance distribution is robust to errors in the estimated covariance and shows rapid convergence of the posterior parameter constraints with the number of training simulations.Comment: 14 pages, 3 figures, matches final version published in PR

Dips in Partial Wave Amplitudes from Final State Interactions

We consider the dip-peak structures in the J=0 partial wave amplitudes for processes \gamma\gamma\rightarrow W^+W^-~ \mbox{and}~\gamma\gamma,gg\rightarrow t\overline{t} taking into account the corresponding Born term process and the rescattering process where the intermediate state is rescattered through the exchange of Higgs resonance state in the direct channel.Comment: 9 pages, CPP-93-21, 6 figures not include

Effect of the National Resident Assessment Instrument on Selected Health Conditions and Problems

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111253/1/j.1532-5415.1997.tb02972.x.pd

A metadata approach for clinical data management in translational genomics studies in breast cancer.

BACKGROUND: In molecular profiling studies of cancer patients, experimental and clinical data are combined in order to understand the clinical heterogeneity of the disease: clinical information for each subject needs to be linked to tumour samples, macromolecules extracted, and experimental results. This may involve the integration of clinical data sets from several different sources: these data sets may employ different data definitions and some may be incomplete. METHODS: In this work we employ semantic web techniques developed within the CancerGrid project, in particular the use of metadata elements and logic-based inference to annotate heterogeneous clinical information, integrate and query it. RESULTS: We show how this integration can be achieved automatically, following the declaration of appropriate metadata elements for each clinical data set; we demonstrate the practicality of this approach through application to experimental results and clinical data from five hospitals in the UK and Canada, undertaken as part of the METABRIC project (Molecular Taxonomy of Breast Cancer International Consortium). CONCLUSION: We describe a metadata approach for managing similarities and differences in clinical datasets in a standardized way that uses Common Data Elements (CDEs). We apply and evaluate the approach by integrating the five different clinical datasets of METABRIC.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Row Widths for Full Season Soybeans in Kentucky

Soybean yields in Kentucky have increased steadily in the past 20 years as a result of improved varieties and production practices. To achieve even higher yields new varieties and better production practices need to be developed and tested. One possibility for increasing soybean yields is to plant in narrow rows using varieties which respond to this practice. Although previous research in Kentucky has not shown a yield advantage for full season soybeans planted in narrow rows, researchers in other states have recently shown increases in yield with narrowing row widths. A number of new varieties have also been developed specifically for narrow row plantings. These varieties are shorter, lodge less, and have a high yield potential. This study was designed to answer the question: Will narrow row widths provide higher yields for these soybean varieties when grown under full season conditions in Kentucky