Territory and cooperativism: A spatial analysis of the Spanish region of Andalusia

This study seeks to identify the behavior of cooperative societies in Andalusia, as well as the environments in which their greater relative importance is evident. The weight of cooperative societies is significantly greater in Andalusia as compared to the rest of Spain. These organizations are noteworthy for acting under social, economic and environmental principles and values, and represent a potential opportunity for the region. The methodology applied for this purpose consists of spatial analysis using descriptive graphing techniques and application of spatial autocorrelation. Among the results obtained, a significant finding is these organizations’ defined behavior as opposed to that of mercantile or traditional businesses. In mapping the weight of cooperativism in Andalusia, this study enables a deeper understanding that could lead to improved design and execution of general and specific territorial policies, and with a greater guarantee of success

History of the Debate Surrounding the 2004 Presidential Election

This paper presents a time-line of events, articles, academic papers, and findings surrounding debate about the 2004 U.S. Presidential election

A Panel Data Study of the Determinants of Life Expectancy in Low Income Countries

This study attempts to determine the impact of several socioeconomic determinants of life expectancy for 34 low income countries using ordinary least squares linear regression. Most explanatory variables were statistically significant, implying that the socioeconomic variables of interest, including government health expenditures, access to basic sanitation facilities, HIV prevalence, urbanization, education, and sex, are important measures in influencing life expectancy. Foreign aid, corruption, and undernourishment, were determined insignificant when determining life expectancy. Based on the analysis results, it has been suggested that these developing countries implement appropriate policies and programs to increase HIV education and preventative measures, increase women’s rights and labor force participation, and specifically direct foreign aid inflows, in order to increase the life expectancy of people in the country

Regression Models with Data-based Indicator Variables

OLS estimation of an impulse-indicator coefficient is inconsistent, but its variance can be consistently estimated. Although the ratio of the inconsistent estimator to its standard error has a t-distribution, that test is inconsistent: one solution is to form an index of indicators. We provide Monte Carlo evidence that including a plethora of indicators need not distort model selection, permitting the use of many dummies in a general-to-specific framework. Although White's (1980) heteroskedasticity test is incorrectly sized in that context, we suggest an improvement. Finally, a possible modification to impulse intercept corrections is considered.

Techniques for clustering gene expression data

Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate well and fail to take account of the data profile. This review paper surveys state of the art applications which recognises these limitations and implements procedures to overcome them. It provides a framework for the evaluation of clustering in gene expression analyses. The nature of microarray data is discussed briefly. Selected examples are presented for the clustering methods considered

Regression Models with Data-based Indicator Variables

OLS estimation of an impulse-indicator coefficient is inconsistent, but its variance can be consistently estimated. Although the ratio of the inconsistent estimator to its standard error has a tdistribution, that test is inconsistent: one solution is to form an index of indicators. We provide Monte Carlo evidence that including a plethora of indicators need not distort model selection, permitting the use of many dummies in a general-to-specific framework. Although White’s (1980) heteroskedasticity test is incorrectly sized in that context, we suggest an improvement. Finally, a possible modification to impulse ‘intercept corrections’ is considered.

Solar-like oscillations in KIC11395018 and KIC11234888 from 8 months of Kepler data

We analyze the photometric short-cadence data obtained with the Kepler Mission during the first eight months of observations of two solar-type stars of spectral types G and F: KIC 11395018 and KIC 11234888 respectively, the latter having a lower signal-to-noise ratio compared to the former. We estimate global parameters of the acoustic (p) modes such as the average large and small frequency separations, the frequency of the maximum of the p-mode envelope and the average linewidth of the acoustic modes. We were able to identify and to measure 22 p-mode frequencies for the first star and 16 for the second one even though the signal-to-noise ratios of these stars are rather low. We also derive some information about the stellar rotation periods from the analyses of the low-frequency parts of the power spectral densities. A model-independent estimation of the mean density, mass and radius are obtained using the scaling laws. We emphasize the importance of continued observations for the stars with low signal-to-noise ratio for an improved characterization of the oscillation modes. Our results offer a preview of what will be possible for many stars with the long data sets obtained during the remainder of the mission.Comment: 39 pages, 9 figures. Accepted for publication in Ap

What Drove First Year Premiums in Stand-Alone Medicare Drug Plans?

Medicare's Part D offers heavily subsidized new drug coverage to 22.5 million seniors to date, of whom 16.5 million are in stand-alone drug plans (Department of Health and Human Services, 2006). The government delegated the delivery of the benefit to private insurance companies arguing that market incentives would lead them to provide coverage at the lowest price possible. The massive entry of plans and the large variety of actuarial designs and formularies offered make it complicated to assess how insurers set premiums during this first year of the program. This paper presents the first econometric evidence on whether premiums in the stand-alone drug plan markets are driven by the relevant factors predicted by insurance theory. Using data gathered from the Centers for Medicare and Medicaid Services, we measure a plan's generosity as the simulated out of pocket payments for different sets of drugs. We also identify the listed full drug prices by each insurer and merge these with other plan and geographical characteristics to test predictions about how insurers set premiums. We find evidence that a) the number of insurers in a market is big enough such that it does not appear to influence premiums, b) the full drug prices listed appear to be reflected to some degree in the premiums charged c) plan characteristics such as the provision of extra coverage are reflected in higher premiums, but overall there is a weak relationship between premiums and simulated out of pocket payments for different sets of drugs d) the institutional setting and regional market characteristics affect the firms' bidding behavior and their resulting premiums. Insurers appear to have responded strongly to program incentives such as the automatic enrollment of dual Medicaid-Medicare beneficiaries into low cost plans. As data for 2007 are made available, it will be important to see if plans follow similar pricing strategies in subsequent years of this program.