Prevalence of low bone health using quantitative ultrasound in Indian women aged 41–60 years: Its association with nutrition and other related risk factors

The purpose of this study was to find the prevalence of low bone health conditions and assess associated nutritional and other risk factors in Indian women aged 41–60 years. A total of 1,911 women participated in this cross-sectional study. Bone health was assessed using an Omnisense multisite quantitative ultrasound bone densitometer on two sites (radius and tibia). Crude prevalence of osteopenia and osteoporosis was found to be 30.09% and 19.89%, respectively. The Indian women were deficient in a majority of nutrients. Postmenopause, hysterectomy, hyperthyroid, hypothyroid, hypertension, low physical activity, low sun exposure, high stress levels, and low calcium levels were found to be independent risk factors of low bone health.     

The economic measurement and determinants of diversity

This paper has a 2-fold objective: (1) To introduce a measure that would be of general applicability in measuring diversity in different institutions. (2) To identify the determinants of diversity in child-care centers and, in particular, to examine whether the for-profit sector is less diverse than the not-for-profit sector in the child-care industry as the statistics suggest. Using our measure, we isolate factors that significantly influence diversity by using an economic model that makes diversity a decision variable of a firm. Two measures of diversity are suggested: absolute diversity and relative diversity (diversity relative to the surrounding community). To select a suitable index, the Herfindahl measure of concentration is considered relative to several suitable ecological indices measuring species diversity, and found to be virtually identical to such indices. Thus theH-index is used in both absolute and relative measures. Empirical estimation of both absolute and relative diversity equations use probability models and isolate factors that significantly influence both absolute diversity of child-care centers as well as their diversity relative to their respective counties. The data used is the recently released Profile of Child-Care Settings collected by the Mathematica Policy Research.     

“Sober encounters”: the neoliberal logics of human rights documentary and Indian feminist documentary filmmakers

“Sober encounters” examines the market-defined encounters between Indian feminist documentary filmmakers and global humanitarian and media commissioning and funding agencies. Drawing from interviews conducted with Indian filmmakers, the essay looks closely at the seemingly sober aesthetic and ethical imperatives of these agencies and their impact on the production and distribution of rights-based feminist documentary film in India. Further, I present the figure of the “transient subject” and posit that it is one apprehended by market-friendly representational regimes to legitimate a neoliberal rights discourse. I argue for a deeper examination of these representational regimes and their attempts to de-radicalize the visual cultures of women’s rights.     

Using High-Frequency Data in Dynamic Portfolio Choice

This article evaluates the economic benefit of methods that have been suggested to optimally sample (in an MSE sense) high-frequency return data for the purpose of realized variance/covariance estimation in the presence of market microstructure noise (Bandi and Russell, 2005a, 2008). We compare certainty equivalents derived from volatility-timing trading strategies relying on optimally-sampled realized variances and covariances, on realized variances and covariances obtained by sampling every 5 minutes, and on realized variances and covariances obtained by sampling every 15 minutes. In our sample, we show that a risk-averse investor who is given the option of choosing variance/covariance forecasts derived from MSE-based optimal sampling methods versus forecasts obtained from 5- and 15-minute intervals (as generally proposed in the literature) would be willing to pay up to about 80 basis points per year to achieve the level of utility that is guaranteed by optimal sampling. We find that the gains yielded by optimal sampling are economically large, statistically significant, and robust to realistic transaction costs.     

Optimal Security Investments and Extreme Risk

In the aftermath of 9/11, concern over security increased dramatically in both the public and the private sector. Yet, no clear algorithm exists to inform firms on the amount and the timing of security investments to mitigate the impact of catastrophic risks. The goal of this article is to devise an optimum investment strategy for firms to mitigate exposure to catastrophic risks, focusing on how much to invest and when to invest. The latter question addresses the issue of whether postponing a risk mitigating decision is an optimal strategy or not. Accordingly, we develop and estimate both a one‐period model and a multiperiod model within the framework of extreme value theory (EVT). We calibrate these models using probability measures for catastrophic terrorism risks associated with attacks on the food sector. We then compare our findings with the purchase of catastrophic risk insurance.