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The Handbook of U.S. Labor Statistics is recognized as an authoritative resource on the U.S. labor force. It continues and enhances the Bureau of Labor Statistics's (BLS) discontinued publication, Labor Statistics. The eighteenth edition allows the user to understand recent developments as well as to compare today's economy with past history. The Handbook is a comprehensive reference providing an abundance of data on a variety of topics including: Employment and unemployment; Earnings; Prices; Productivity; Consumer expenditures; Occupational safety and health; Union membership International labor comparisons; and much more! Features of the publication In addition to over 225 tables that present practical data, the Handbook provides: Introductory material for each chapter that contains highlights of salient data and figures that call attention to noteworthy trends in the data; Notes and definitions, which contain concise descriptions of the data sources, concepts, definitions, and methodology from which the data are derived; References to more comprehensive reports which provide additional data and more extensive descriptions of estimation methods, sampling, and reliability measures. What’s New in the 19th edition A chapter titled Women in the Workforce Recently released employment projections for 2014 through 2024 Tables which show the increase in cellular phone spending since 2007 as well as new tables on occupational safety and health New figures on a variety of topics including earnings and population projections
This Handbook intends to inform Data Providers and researchers on how to provide privacy-protected access to, handle, and analyze administrative data, and to link them with existing resources, such as a database of data use agreements (DUA) and templates. Available publicly, the Handbook will provide guidance on data access requirements and procedures, data privacy, data security, property rights, regulations for public data use, data architecture, data use and storage, cost structure and recovery, ethics and privacy-protection, making data accessible for research, and dissemination for restricted access use. The knowledge base will serve as a resource for all researchers looking to work with administrative data and for Data Providers looking to make such data available.
Handbook of the Economics of Population Aging synthesizes the economic literature on aging and the subjects associated with it, including social insurance and healthcare costs, both of which are of interest to policymakers and academics. These volumes, the first of a new subseries in the Handbooks in Economics, describe and analyze scholarship created since the inception of serious attention began in the late 1970s, including information from general economics journals, from various field journals in economics, especially, but not exclusively, those covering labor markets and human resource issues, from interdisciplinary social science and life science journals, and from papers by economists published in journals associated with gerontology, history, sociology, political science, and demography, amongst others. - Dissolves the barriers between policymakers and scholars by presenting comprehensive portraits of social and theoretical issues - Synthesizes valuable data on the topic from a variety of journals dating back to the late 1970s in a convenient, comprehensive resource - Presents diverse perspectives on subjects that can be closely associated with national and regional concerns - Offers comprehensive, critical reviews and expositions of the essential aspects of the economics of population aging
The effective utilization of available resources is a pivotal factor for production levels in modern business environments. However, when resources are limited or in excess, this effects organizational success, as well as the labor market. The Handbook of Research on Unemployment and Labor Market Sustainability in the Era of Globalization is a comprehensive reference source for the latest scholarly research on the socio-economic dynamics of unemployment and the development of new policies to assist in regulating the global labor market. Highlighting innovative approaches and relevant perspectives, such as outsourcing, trade openness, and employment protection, this publication is ideally designed for policy makers, professionals, practitioners, graduate students, and academics interested in emerging trends for labor market development.
The second edition of the Impact Evaluation in Practice handbook is a comprehensive and accessible introduction to impact evaluation for policy makers and development practitioners. First published in 2011, it has been used widely across the development and academic communities. The book incorporates real-world examples to present practical guidelines for designing and implementing impact evaluations. Readers will gain an understanding of impact evaluations and the best ways to use them to design evidence-based policies and programs. The updated version covers the newest techniques for evaluating programs and includes state-of-the-art implementation advice, as well as an expanded set of examples and case studies that draw on recent development challenges. It also includes new material on research ethics and partnerships to conduct impact evaluation. The handbook is divided into four sections: Part One discusses what to evaluate and why; Part Two presents the main impact evaluation methods; Part Three addresses how to manage impact evaluations; Part Four reviews impact evaluation sampling and data collection. Case studies illustrate different applications of impact evaluations. The book links to complementary instructional material available online, including an applied case as well as questions and answers. The updated second edition will be a valuable resource for the international development community, universities, and policy makers looking to build better evidence around what works in development.
There is still much to learn about fundamental aspects of employment discrimination law as a social system. What drives the growing demand for litigation? To what extent does discrimination persist in subtle but pervasive forms and what explains how it varies by organizational and market context? How do different groups of workers perceive the extent to which they are discriminated against and what, if anything, do they do about it? How have employers responded to discrimination law? How is employment discrimination law affected by broader political and legal currents? What is the relationship between anti-discrimination law and patterns of social inequality?The chapters in this unique collection grapple with many of these issues. Questions of this scope require interdisciplinary scholarship; and this volume includes original contributions from many of the legal scholars, economists, psychologists, sociologists, political scientists, and historians who are at the forefront of new research on discrimination and law. The Handbook of Employment Discrimination Research encompasses critical discussions across different social science disciplines, as well as between legal scholars and social scientists. As a collection, the chapters suggest a broad reconsideration of employment discrimination and its treatment in law.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Accessible and comprehensive, this book shows how to build a schoolwide multi-tiered system of support (MTSS) from the ground up. The MTSS framework encompasses tiered systems such as response to intervention (RTI) and positive behavioral interventions and supports (PBIS), and is designed to help all K-12 students succeed. Every component of an MTSS is discussed: effective instruction, the role of school teams, implementation in action, assessment, problem solving, and data-based decision making. Practitioner-friendly features include reflections from experienced implementers and an extended case study. Reproducible checklists and forms can be downloaded and printed in a convenient 8 1/2" x 11" size.
Over the last fifty years in the United States, unions have been in deep decline, while income and wealth inequality have grown. In this timely work, editors Richard Bales and Charlotte Garden - with a roster of thirty-five leading labor scholars - analyze these trends and show how they are linked. Designed to appeal to those being introduced to the field as well as experts seeking new insights, this book demonstrates how federal labor law is failing today's workers and disempowering unions; how union jobs pay better than nonunion jobs and help to increase the wages of even nonunion workers; and how, when union jobs vanish, the wage premium also vanishes. At the same time, the book offers a range of solutions, from the radical, such as a complete overhaul of federal labor law, to the incremental, including reforms that could be undertaken by federal agencies on their own.