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Skilled technical occupationsâ€"defined as occupations that require a high level of knowledge in a technical domain but do not require a bachelor's degree for entryâ€"are a key component of the U.S. economy. In response to globalization and advances in science and technology, American firms are demanding workers with greater proficiency in literacy and numeracy, as well as strong interpersonal, technical, and problem-solving skills. However, employer surveys and industry and government reports have raised concerns that the nation may not have an adequate supply of skilled technical workers to achieve its competitiveness and economic growth objectives. In response to the broader need for policy information and advice, Building America's Skilled Technical Workforce examines the coverage, effectiveness, flexibility, and coordination of the policies and various programs that prepare Americans for skilled technical jobs. This report provides action-oriented recommendations for improving the American system of technical education, training, and certification.
Publishes in-depth articles on labor subjects, current labor statistics, information about current labor contracts, and book reviews.
This volume, a companion to Evaluating Welfare Reform in an Era of Transition, is a collection of papers on data collection issues for welfare and low-income populations. The papers on survey issues cover methods for designing surveys taking into account nonresponse in advance, obtaining high response rates in telephone surveys, obtaining high response rates in in-person surveys, the effects of incentive payments, methods for adjusting for missing data in surveys of low-income populations, and measurement error issues in surveys, with a special focus on recall error. The papers on administrative data cover the issues of matching and cleaning, access and confidentiality, problems in measuring employment and income, and the availability of data on children. The papers on welfare leavers and welfare dynamics cover a comparison of existing welfare leaver studies, data from the state of Wisconsin on welfare leavers, and data from the National Longitudinal Survey of Youth used to construct measures of heterogeneity in the welfare population based on the recipient's own welfare experience. A final paper discusses qualitative data.
These Guidelines represent the first attempt to provide international recommendations on collecting, publishing, and analysing subjective well-being data.
Over the past five years, business and education groups have issued a series of reports indicating that the skill demands of work are rising, due to rapid technological change and increasing global competition. Researchers have begun to study changing workplace skill demands. Some economists have found that technological change is "skill-biased," increasing demand for highly skilled workers and contributing to the growing gap in wages between college-educated workers and those with less education. However, other studies of workplace skill demands have reached different conclusions. These differences result partly from differences in disciplinary perspective, research methods, and datasets. The findings of all of these strands of research on changing skill demands are limited by available methods and data sources. Because case study research focuses on individual work sites or occupations, its results may not be representative of larger industry or national trends. At a more basic level, there is some disagreement in the literature about how to define "skill". In part because of such disagreements, researchers have used a variety of measures of skill, making it difficult to compare findings from different studies or to accumulate knowledge of skill trends over time. In the context of this increasing discussion, the National Research Council held a workshop to explore the available research evidence related to two important guiding questions: What are the strengths and weaknesses of different research methods and data sources for providing insights about current and future changes in skill demands? What support does the available evidence (given the strengths and weaknesses of the methods and data sources) provide for the proposition that the skills required for the 21st century workplace will be meaningfully different from earlier eras and will require corresponding changes in educational preparation?
This volume defines the economics of search, which has become a part of the standard graduate curriculum. The concept deals with the costs and benefits to individual workers - either employed or unemployed - of seeking a job with the highest possible pay.
The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Kuh (1959), Mundlak (1961), Hoch (1962), and Balestra and Nerlove (1966), the pooling of cross section and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific diffi culties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc., have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and probit models, latent variable models, incomplete panels and selectivity bias, and point processes.
Contrary to conventional wisdom that equates rural economies with agriculture, rural residents in developing countries often rely heavily on activities other than farming for their income. Indeed, nonfarm work accounts for between one-third and one-half of rural incomes in the developing world. In recent years, accelerating globalization, increasing competition from large businesses, expanding urban markets for rural goods and services, and greater availability of information and communication technology have combined to expose rural nonfarm businesses to new opportunities as well as new risks. By examining these rapid changes in the rural nonfarm economy, international experts explore how the rural nonfarm economy can contribute to overall economic growth in developing countries and how the poor can participate in this rapidly evolving segment of the economy. The authors review an array of recent studies of the rural nonfarm economy in order to summarize existing empirical evidence, explore policy implications, and identify future research priorities. They examine the varied scale, structure, and composition of the rural nonfarm economy, as well as its relationship with agricultural and urban enterprises. And they address key questions about the role of public intervention in the rural nonfarm economy and how the rural poor can participate in and navigate the rapid transition underway in rural areas. The contributors offer new insights to specialists in rural development and to others interested in overall economic development.