The Possible Effects of Child Survival on Women's Ages at First Union and Childbirth in Sub-Saharan Africa

Improvements in childsurvival may lead to lower fertility throughseveral pathways. To date, most studies havefocused on the physiological and replacementeffects, whose impacts are known to be modestin size. Few have examined the potentially moreimportant insurance effect on fertility withinunion, and almost none have considered thepossible relationship between child mortalityand marriage, which could also grow out of aninsurance strategy. In this study, we use datafrom 21 sub-Saharan African countries to assessthe relationship between child mortality andyoung women's ages at first marriage andchildbirth. The results show that lower levelsof mortality are strongly associated with latermarriages and first births, even aftercontrolling for the effects of a large numberof other variables. The implications of thefindings are discussed and alternativeexplanations for this relationship arepresented.     

Patterns of age‐based linguistic variation in American English1

In prior sociolinguistic research, speaker age has been considered the principal correlate of language change, but it ‘has not yet been explicitly studied as a sociolinguistic variable’ ( Eckert 1997 : 167). Consequently, little is known about how language varies across the life span. The present study employs key word analysis on a large corpus of casual conversation in American English to explore age‐based linguistic variation in spontaneous conversation. Analyses of the key words point to two major patterns of age‐based lexico‐grammatical variation: use of slang, and use of stance and involvement markers. Younger speakers' talk is characterized by an unusually frequent use of slang and swear words, and by a marked use of features indexing speaker's stance and emotional involvement, including intensifiers, stance adverbs, discourse markers, personal pronouns, and attitudinal adjectives; older speakers favor modals. These patterns are suggestive of functional differences in the discourse of youth and adults. It is argued that the expression of personal stance is more explicit and plays a key role in younger speakers' discourse.     

Understanding the Nature and Extent of Farm and Ranch Diversification in North America*

Abstract Pressure to adopt enhanced production technologies, changing government support policies, increasing and more diverse competition, and changing markets have posed economic challenges to North American farmers over the past two decades. As a response, farmers are adjusting their production model by incorporating agricultural related enterprises. Although there is evidence that farm diversification is occurring throughout North America, there is a dearth of scientific information regarding the types of enterprises being developed and used in this context. This study aims to fill this void by exploring the extent of farm diversification by identifying and describing eight types of enterprises that farmers and ranchers are using. It was found that levels of diversification are often dependent on operating and management attributes and owner characteristics, such as the number of family members working on the farm and the number of days that the farmer's spouse works off the farm.     

Population Dynamics and Tropical Deforestation: State of the Debate and Conceptual Challenges

What is the role of population in driving deforestation? This question was put forth as a discussion topic in the cyberseminar hosted by Population Environment Research Network (PERN) in Spring, 2003. Contributors from diverse backgrounds weighed in on the discussion, citing key factors in the population-deforestation nexus and suggesting further courses of action and research. Participants explored themes of their own choosing, with many coming to the forefront. Scale, time, and place-based effects were cited as areas in need of particular attention. Consumption patterns as the mechanism for spurring deforestation were discussed, drawing attention to the differential patterns associated with urban vs. rural demands on forest resources and land. The applicability of the IPAT formula and the influence of its component parts, affluence and technology, when operating in tandem with population, was debated. The relation of demographic factors to these pathways was critically examined. Institutional and governmental influence, such as infrastructure and policies affecting access and incentives, the valuation of resources, and institutional failures such as mismanagement and corruption emerged as a crucial set of factors. This article synthesizes the critical debates in the population-deforestation literature, makes suggestions for future paths of research, and discussed possible policy and direct action initiatives.     

Temporary Workers in Italy: Who Are They and Where They End Up

Abstract. Temporary work has been an important component of employment growth in Italy since the early 1990s. This paper focus upon labour market transitions of temporary workers in order to test whether temporary work enhances the subsequent labour market chances. We use propensity score matching to compare subsequent employment outcomes of people who have recently acquired a temporary job with those of people who remained unemployed. Individuals' hetero geneity explains a good amount of the raw differences in the subsequent labour market status of temporary workers and the comparison group. Yet there appears to be a sizable net gain from experiencing a temporary work. Our benchmark average estimate is a 30 percentage points rise in the ‘satisfactory employment’ chances 1 year after the start of the temporary work experience. The net gains are the largest for females and adult people and the areas with low unemployment; moreover, gains are the largest for the most recent years in our sample and for those people who were (according to the propensity score estimates) either least or most likely to exit from unemployment.     

Why is diversification an attractive farm adjustment strategy? Insights from Texas farmers and ranchers

State agencies have been encouraging the development of different enterprises to diversify farm incomes in an effort to retain farmers in business, attract new entrants to agriculture and promote regional development. Entrepreneurship and farming are known to be driven by a complex set of goals including those which are economic and intrinsic in nature. However, little information is available regarding the set of goals that drive agriculture entrepreneurship, preventing state agencies to adequately target potential diversifiers. This paper provides a better understanding of the range of goals, both financial and nonfinancial, that are important in farmers' decisions to diversify their operations. The generation of additional income, the continuance of farming and ranching, and the enhancement of quality of life are among the most important diversification goals in Texas. A principal component factor analysis performed on the importance ratings of diversification goals resulted in six dimensions: (F1) Reduce Uncertainty and Risk; (F2) Grow and Service Markets; (F3) Enhanced Financial Condition; (F4) Individual Aspirations and Pursuits; (F5) Revenues Enhancement; and (F6) Family Connections. The study also examined the relationship between various entrepreneur and farm characteristics and the goal pursuit dimensions. Operator's age, number of generations the farm had been in the family, household income, number of farm employees, and distance to an urbanized area influence types of goals pursued through diversification.     

Musculoskeletal disorders and psychosocial risk factors among workers of the aircraft maintenance industry

During the recent decades Brazil has experienced an exponential growth in the aviation sector resulting in an increasing workforce. The aircraft maintenance industry stands out, where the workers have to handle different kind of objects. The aim of this study was to evaluate psychosocial indicators as well as musculoskeletal symptoms and disorders among aircraft maintenance workers. One hundred and one employees were evaluated (32.69 ± 8.25 yr, 79.8 ± 13.4 kg, and 1.75 ± 0.07 m). Musculoskeletal symptoms and disorders were assessed through the Nordic Musculoskeletal Questionnaire (NMQ) and a standardized physical examination. The Job Content Questionnaire (JCQ) and the Utrecht Work Engagement Scale (UWES) were applied to evaluate psychosocial indicators. Results of the NMQ indicate the lower back as the most affected body region. On the other hand, the physical examination has shown clinical diagnosis of shoulder disorders. Neck, upper back and ankle/foot were also reported as painful sites. Most of workers have active work-demand profile and high work engagement levels. We suggest that musculoskeletal symptoms may be related to high biomechanical demand of the tasks performed by workers, what must be further investigated.     

Band-limited component estimation in time-limited economic series

This paper tackles the issue of economic time-series modeling from a joint time and frequency-domain standpoint, with the objective of estimating the latent trend-cycle component. Since time-series records are data strings over a finite time span, they read as samples of contiguous data drawn from realizations of stochastic processes aligned with the time arrow. This accounts for the interpretation of time series as time-limited signals. Economic time series (up to a disturbance term) result from latent components known as trend, cycle, and seasonality, whose generating stochastic processes are harmonizable on a finite average-power argument. In addition, since trend is associated with long-run regular movements, and cycle with medium-term economic fluctuation, both of these turn out to be band-limited components. Recognizing such a frequency-domain location permits a filter-based approach to component estimation. This is accomplished through a Toeplitz matrix operator with sinc functions as entries, mirroring the ideal low-pass filter impulse response. The notion of virtual transfer function is developed and its closed-form expression derived in order to evaluate the filter features. The paper is completed by applying this filter to quarterly data from Italian industrial production, thus shedding light on the performance of the estimation procedure.