An econometric model of the agricultural sector of the Indian economy

The interrelationships between production, consumption, and stocks are studied in an interdependent framework for two groups of agricultural commodities, namely foodgrains and nonfoodgrains, with a view to obtain policy guidelines for agricultural growth. The model is formulated with aggregate information over the period 1951–1975 and both static and dynamic simulation along with multiplier analysis are carried out to assess the performance of the model. The study reveals that if there had been no PL 480 aid from the U.S. imports, foodgrain prices would have been higher than observed prices. Ex-ante forecasts to 1985 suggest some need for adequate planning with regard to stockbuilding.     

Every Child Matters? A critical review of child welfare reforms in the context of minority ethnic children and families

This paper critically reviews some key government papers that together largely provide the foundation for the relevant child welfare reforms in England and Wales. The context of this review was to evaluate whether these papers and documents made sufficient reference to improving policies and practices for minority ethnic children and families involved in child welfare matters, given the research evidence from the early 1990s suggesting that such families may experience particular disadvantages or discriminations within the UK child welfare system. The research evidence cited draws upon studies that have considered the experiences of different minority ethnic groups from the point of referrals through to long term services, including those children who have been looked after in local authority care and those families that have been subject to care proceedings. This paper concludes that more is needed under the Every Child Matters agenda to both acknowledge and address the specific needs of minority ethnic children and their families, as identified in the range of studies published post Children Act 1989. Copyright © 2008 John Wiley & Sons, Ltd.     

On rules based on sample medians for selection of the largest location parameter

The problem of selection of a subset containing the largest of several location parameters is considered, and a Gupta-type selection rule based on sample medians is investigated for normal and double exponential populations. Numerical comparisons between rules based on medians and means of small samples are made for normal and contaminated normal populations, assuming the popula-tion means to be equally spaced. It appears that the rule based on sample means loses its superiority over the rule based on sample medians in case the samples are heavily contaminated. The asymptotic relative efficiency (ARE) of the medians procedure relative to the means procedure is also computed, assuming the normal means to be in a slippage configuration. The means proce-dure is found to be superior to the median procedure in the sense of ARE. As in the small sample case, the situation is reversed if the normal populations are highly contaminate.     

Bayesian optimization analysis with ML-II ε-contaminated prior

In this paper we derive the predictive density function of a future observation when prior distribution for unknown mean of a normal population is a Type-II maximum likelihood ε-contaminated prior. The derived predictive distribution is applied to the problem of optimization of a regression nature in the decisive prediction framework.     

Racial and Ethnic Diversity in Senior Centers: Comparing Participant Characteristics in More and Less Multicultural Settings

The 2008 Health Indicators Project surveyed a probability sample (N = 1,870) of New York City senior center participants. Attendees of racially and ethnically diverse and nondiverse senior centers were compared across 5 domains: demographics; health and quality of life; social support networks; neighborhood perceptions and engagement; health service access/utilization. Although homogeneous and diverse center participants demonstrate similar health and quality-of-life outcomes, those from diverse centers demonstrate greater risk of social isolation, receive less family support, and more likely seek medical care from hospitals or community clinics. Implications and future directions for research, practice and policy are discussed.     

Bayes Prediction for a Stratified Regression Superpopulation Model Using Balanced Loss Function

We consider the stratified regression superpopulation model and obtain Bayes predictor of the finite population mean under Zellner's two-criterion balanced loss function (BLF). BLF predictor simplifies to a linear combination of the sample and predictive means. Furthermore, it reduces to some of the well-known classical and Bayes predictors. Relative losses and relative savings loss are obtained to investigate loss robustness of the BLF predictor. It is found to perform better than the usual sample mean as well as the predictive mean in the minimal Bayes predictive expected loss sense.     

A TEST OF HOMOGENEITY AGAINST SCALE ALTERNATIVES USING SUBSAMPLE EXTREMA1

In this paper a new class of non-parametric tests for testing homogeneity of several populations against scale alternatives is proposed. For this, independent samples of fixed sizes are drawn from each population and from these samples, all possible sub-samples of the same size are drawn and their maxima and minima are computed. Using these extreme the class of tests is obtained. Tests of this type have been offered for the two-sample slippage problem by Kochar (1978). Under certain conditions, this class of tests is shown to be consistent against ‘difference in scale’ alternatives. The test has been compared with Bhapkar's V-test (1961), Deshpande's D-test (1965), Sugiura's D_rs-test (1965) and with a classical test given by Lehmann (1959, pp. 273–275). It is shown that some members of this proposed class of tests are more efficient than the first three tests in the case of uniform, Laplace and normal distributions, when the number of populations compared is small.     

Financial Literacy,Human Capital and Stock Market Participation in Europe

Households’ stock market participation has significant effects on savings and on an economy’s financial development and performance. Yet participation into capital markets is limited and quite heterogonous both among and within several countries. This phenomenon represents an empirical puzzle whose understanding is rather incomplete. In this work, we exploited a combination of datasets for nine European countries and used different econometric specifications that allow to control for endogeneity of financial literacy and human capital, to assess the role of several variables in affecting the probability to participate in the stock market in year 2010. Besides socio-demographic variables, we found that financial literacy has a positive and significant effect on stock market participation, together with the level of human capital and social interaction. Country level differences are explained by such institutional factors as the effectiveness of the education system and by the attractiveness of the stock markets.     

Research Review: Child and family support services with minority ethnic families: what can we learn from research?

This paper considers some of the available published research on family support services for minority ethnic families. In addressing this aspect of social work with minority ethnic families, we seek to make a contribution to the knowledge base of practitioners. The paper begins with an overview of what is known about family support services for particular minority ethnic groups, before exploring three specific areas: family centres, a home visiting service, and family group conferences. The paper finally examines what research says about the qualities sought in social workers by minority ethnic parents.