Persistence,Mean-Reversion and Non-linearities in Infant Mortality Rates

This study examines the time series behavior of infant mortality rates within a long memory approach with non-linear trends using data for 37 countries. The main results show significant differences both in the degree of integration and non-linearities among the analyzed series. Furthermore, non-linearities in the time trends are found in most of the cases, in contrast with the main assumption of linearity used in the literature. Finally, the results on the integration order of the series have important policy implications in many areas, such as on international convergence in mortality rates, on the income and infant mortality relationship, and, on whether health policy interventions will have transitory or permanent effects on infant mortality rates.     

Intrinsic and extrinsic drivers of yard vegetation in urban residential areas: implications for conservation planning

Residential green areas often represent a significant portion of a city’s green infrastructure which has generated great interest in studying the factors that contribute to the formation of plant associations in residential yards. This project evaluated the external factors to the household social-ecological system that influence the availability of plants for residential landscapes and how they may influence the presence of native plants in residential yards on households within the Río Piedras watershed in the metropolitan area of San Juan, Puerto Rico. The methods used included a residential survey with open and closed questions that addressed the sources of plants used in landscaping and an evaluation of ornamental plant species inventories from local nurseries. A total of 432 yards were surveyed. Yard plants in this watershed have multiple sources. Aside from obtaining plants at local nurseries, natural dispersion, exchanges among family and friends and historical plantings can be just as important sources of yard plants. Our results also suggest that the majority of residents do not know where to get native plants which could represent a challenge for the development and implementation of initiatives for natives gardening. At the same time, most commercial nurseries have a deficit of native plants in their inventories. This information is critical to species conservation strategies that seek the inclusion of urban residential areas and may help improve initiatives about the involvement of individual citizens in sustainable gardening practices at the residential scale.     

Fair student placement

We revisit the concept of fairness in the Student Placement framework. We declare an allocation as \(\upalpha \)-equitable if no agent can propose an alternative allocation that nobody else might argue to be inequitable. It turns out that \(\upalpha \)-equity is compatible with efficiency. Our analysis fills a gap in the literature by giving normative support to the allocations improving, in terms of efficiency, the Student Optimal Stable allocation.     

A review of current population databases on Puerto Rico

Population studies of Puerto Rico have recently gained salience as recent environmental and economic shocks have affected demographic behavior. In this review, we describe the major population databases on Puerto Rico and discuss the strengths and weaknesses of each. These databases include three from the US Census Bureau—the Decennial Population Census, the Puerto Rico Community Survey, and the Population Estimates Program—and three additional databases used to study migration (the Bureau of Transportation Statistics), health (the Behavioral Risk Factor Surveillance System), and labor (the Puerto Rico Labor Survey). These databases can be used to study emerging demographic topics, as well as inequities in population outcomes.

     

Quality of Life Measurement in the Field of Intellectual Disabilities: Eight Principles for Assessing Quality of Life-Related Personal Outcomes

As the concept of quality of life (QOL) has evolved from a theoretical concept to both a measurable construct and an action-oriented change agent in the field of intellectual disabilities, there has emerged a corresponding need to develop, implement, and use a systematic approach to the assessment of domain-referenced quality of life outcomes. The purpose of this article is to suggest eight principles based on published literature and the authors’ experiences that should underlie the assessment of QOL-related personal outcomes in the field of intellectual disabilities. Data from the development of the personal outcomes scale are used to exemplify each principle. The article’s premise is that model development and test construction should work in tandem, and that a ‘quality of life assessment instrument’ should be based on an empirically derived QOL conceptual and measurement framework/model.     

UNIVERSAL VERSUS ECONOMICALLY POLARIZED CHANGE IN AGE AT FIRST BIRTH: A FRENCH-BRITISH COMPARISON

France and the United Kingdom represent two contrasting institutional models for the integration of employment and motherhood, respectively the 'universalistic' regime type that offers subsidized child-care and maternity-leave benefits to women at all income levels, and the 'means-testing' regime type that mainly offers income-tested benefits for single mothers. Using the two countries as comparative case studies, we develop and test the hypothesis that the socio-economic gradient of fertility timing has become increasingly mediated by family policy. We hypothesize and find increasing polarization in age at first birth by pre-childbearing occupation between the 1980s and 1990s in the U.K. but not in France. Early first childbearing persisted in the U.K. only among women in low-skill occupations, while shifts towards increasingly late first births occurred in clerical/secretarial occupations and above. Increases in age at first birth occurred across all occupations in France, but this was still much earlier on average than for all but low-skill British mothers.     

Data‐driven choice of the smoothing parametrization for kernel density estimators

There are several levels of sophistication when specifying the bandwidth matrix H to be used in a multivariate kernel density estimator, including H to be a positive multiple of the identity matrix, a diagonal matrix with positive elements or, in its most general form, a symmetric positive‐definite matrix. In this paper, the author proposes a data‐based method for choosing the smoothing parametrization to be used in the kernel density estimator. The procedure is fully illustrated by a simulation study and some real data examples. The Canadian Journal of Statistics © 2009 Statistical Society of Canada     

Macroeconomic fluctuations and mortality in postwar Japan

Recent research has shown that after long-term declining trends are excluded, mortality rates in industrial countries tend to rise in economic expansions and fall in economic recessions. In the present work, co-movements between economic fluctuations and mortality changes in postwar Japan are investigated by analyzing time series of mortality rates and eight economic indicators. To eliminate spurious associations attributable to trends, series are detrended either via Hodrick-Prescott filtering or through differencing. As previously found in other industrial economies, general mortality and age-specific death rates in Japan tend to increase in expansions and drop in recessions, for both males and females. The effect, which is slightly stronger for males, is particularly noticeable in those aged 45-64. Deaths attributed to heart disease, pneumonia, accidents, liver disease, and senility--making up about 41% of total mortality--tend to fluctuate procyclically, increasing in expansions. Suicides, as well as deaths attributable to diabetes and hypertensive disease, make up about 4% of total mortality and fluctuate countercyclically, increasing in recessions. Deaths attributed to other causes, making up about half of total deaths, don't show a clearly defined relationship with the fluctuations of the economy.     

A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System

This study presents a synthetic indicator for quality assessment in the Spanish public university system. The indicator is based on a series of components and simple indicators that were obtained from the public universities’ financial planning estimates. The paper takes a quantitative, wide-ranging approach to analyse the quality of university institutions and is intended to be complimentary to other qualitative approaches. Data Envelopment Analysis was used in order to facilitate the aggregation and weighting of the data used to construct the synthetic indicator. This technique allows the analyst to endogenously determine the weighting of the partial indicators while respecting the peculiarities intrinsic to each university. The results reveal that there are significant differences among Spanish public universities. In addition to how relatively well each of the institutions performs, other factors would seem to be influencing the results; essentially these are related to socio-economic factors and to the application of university policy in Spain over recent decades.