Asymptotic distribution of data-driven smoothers in density and regression estimation under dependence

We consider automatic data-driven density, regression and autoregression estimates, based on any random bandwidth selector h/_T. We show that in a first-order asymptotic approximation they behave as well as the related estimates obtained with the “optimal” bandwidth h_T as long as h_T/h_T → 1 in probability. The results are obtained for dependent observations; some of them are also new for independent observations.     

Classifying Speech Sonority Functional Data using a Projected Kolmogorov-Smirnov Approach

This paper addresses a linguistically motivated question of classification of functional data, namely the statistical classification of languages according to their rhythmic features. This is an important open problem in phonology. The analysis is based on the information provided by the sonority, which is an index of local regularity of the speech signal. Our main tool is the projected Kolmogorov-Smirnov test. This is a new goodness of fit test for functional data. The result obtained supports the linguistic conjecture of the existence of three rhythmic classes.     

Visualising Gender Wage Differences in the European Union

The purpose of this article is to illustrate differences in the gender wage gap in 13 EU member states, using figures taken from the Household Panel for 2000. The methodology is based primarily on the kernel density functions of men's and women's wages. A range of situations can be observed from the Mediterranean countries (with a smaller gender pay gap) to the very specific cases of Austria and the UK and to northern European countries where the gender pay gap is chiefly the result of a larger proportion of men at higher‐paid levels. We also offer conclusions on the relevance of public employment, part‐time employment and short‐term hiring to explain the gender wage gap in each of the countries studied.     

Migration intentions and behavior: Decision making in a rural Philippine province

The relationship between intentions and behavior is basic to micro-level migration decision research. This study, set in the rural Philippine province of Ilocos Norte, provides evidence on personal and structural background factors and value-expectancy perceptions of place utility that predict migration intentions and behavior. Separate analyses are conducted for general intentions to move and for destination-specific migration intentions, the latter pertaining to both internal migration (Manila) and international migration (Hawaii). Logistic regression analyses applied to the data from a 1980–82 longitudinal survey show that the empirical models are highly efficient in explaining migration intentions but less efficient in explaining actual migration behavior in this Third World setting. Important explanatory variables for both intentions and behavior include family pressure to move or stay, family auspices at alternative destinations, money to move, prior migration experience, and the life cycle stage (marital status and age). However, the determinants of internal and international migration behavior are not the same. The data only partially support the Ajzen and Fishbein (1980) position that intentions are the dominant determinant of behavior. Personal and structural background factors are shown to exert independent direct effects on migration behavior.Revised version of a paper presented at the annual meeting of the Population Association of America, Minneapolis, Minnesota, May 2–5, 1984. Research for this paper was supported by NIH Grant No. R01-HD13115, the Population Center Foundation, The Philippines, the East-West Population Institute, Honolulu, Hawaii, and the Population Issues Research Center, University Park, PA. The other coinvestigators for this project are Fred Arnold, East-West Population Institute, and Benjamin V. Carino, University of the Philippines.     

Organizational Learning Capability and Job Satisfaction: an Empirical Assessment in the Ceramic Tile Industry*

Organizational learning capability has been considered an essential issue of an organization's effectiveness and potential to innovate and grow. Although its positive effects on organizations and employees are generally assumed, there is no empirical evidence of its positive association with employee attitudes such as job satisfaction. This paper aims to investigate the relationship between organizational learning capability and job satisfaction through the questionnaire responses of 157 employees from eight companies in the Spanish ceramic tile industry. Results suggest that organizational learning capability and job satisfaction are strongly linked.     

Condom use self-efficacy among U.S. and foreign-born Latinos in Texas

The objective of this study was to assess the influence of condom use self-efficacy on the reported condom use of Latinos. We conducted a rapid needs assessment study among U.S. and foreign-born Latinos living in Houston, TX, to identify behavioral and psychosocial factors that influence their risk for HIV. Bilingual Latino interviewers conducted confidential face-to-face interviews with individuals living in apartment complexes or residential areas primarily populated by Latinos. A total of 152 participants completed the survey. Regression results indicate that education and gender influenced condom use self-efficacy, which in turn influenced condom use in the last sexual encounter and with the primary sexual partner. However, gender and relationship risk were stronger predictors of condom use. Study results indicate that there are differences in condom use self-efficacy and sexual risk behaviors between Latino men and women that need further exploration.     

Choice,Competition and Care – Developments in English Social Care and the Impacts on Providers and Older Users of Home Care Services

This article critically examines recent changes in markets for home (domiciliary) care services in England. During the 1990s, the introduction of competition between private (for‐profit and charitable) organizations and local authority providers of long‐term care services aimed to create a ‘mixed economy’ of supply. More recently, care markets have undergone further reforms through the introduction of direct payments and personal budgets. Underpinned by discourses of user choice, these mechanisms aim to offer older people increased control over the public resources for their care, thereby introducing further competitive pressures within local care markets. The article presents early evidence of these changes on:

• The commissioning and contracting of home care services by local authorities and individual older people.
• The experiences and outcomes for individual older people using home care services.

Drawing on evidence from two recent empirical studies, the article describes how the new emphasis on choice and competition is being operationalized within six local care markets. There are suggestions of small increases in user agency and in opportunities for older people to receive more personalized home care, in which the quality of care‐giving relationships can also be optimized. However, the article also presents early evidence of increases in risk and costs associated with the expansion of competition and choice, both for organizations providing home care services and for individual older service users.     

Bayesian Estimation and Prediction of Stochastic Volatility Models via INLA

In this article, we assess Bayesian estimation and prediction using integrated Laplace approximation (INLA) on a stochastic volatility (SV) model. This was performed through a Monte Carlo study with 1,000 simulated time series. To evaluate the estimation method, two criteria were considered: the bias and square root of the mean square error (smse). The criteria used for prediction are the one step ahead forecast of volatility and the one day Value at Risk (VaR). The main findings are that the INLA approximations are fairly accurate and relatively robust to the choice of prior distribution on the persistence parameter. Additionally, VaR estimates are computed and compared for three financial time series returns indexes.     

Linear discrimination for multi-level multivariate data with separable means and jointly equicorrelated covariance structure

In this article we study a linear discriminant function of multiple m-variate observations at u-sites and over v-time points under the assumption of multivariate normality. We assume that the m-variate observations have a separable mean vector structure and a “jointly equicorrelated covariance” structure. The new discriminant function is very effective in discriminating individuals in a small sample scenario. No closed-form expression exists for the maximum likelihood estimates of the unknown population parameters, and their direct computation is nontrivial. An iterative algorithm is proposed to calculate the maximum likelihood estimates of these unknown parameters. A discriminant function is also developed for unstructured mean vectors. The new discriminant functions are applied to simulated data sets as well as to a real data set. Results illustrating the benefits of the new classification methods over the traditional one are presented.     

Performance Appraisal and Job Satisfaction for Workers Without and With Disabilities by Gender

Social Indicators Research - This study analyses the effects of performance appraisal on the levels of job satisfaction reported by workers without and with disabilities (aged 16–64) by...