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Author: Daniel S. Hamermesh
Publisher: Elsevier Science Limited
ISBN: 9780444515346
Category : Business & Economics
Languages : en
Pages : 372
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Book Description
These studies are based on information on time use in nine countries. It deals with the "when?" and "with whom?" questions describing human behavior, "what is done?" questions of the quantities and determinants of economic activities as well as children's issues and issues involved in the creation of the American Time Use Survey (ATUS).
Author: Daniel S. Hamermesh
Publisher: Elsevier Science Limited
ISBN: 9780444515346
Category : Business & Economics
Languages : en
Pages : 372
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Book Description
These studies are based on information on time use in nine countries. It deals with the "when?" and "with whom?" questions describing human behavior, "what is done?" questions of the quantities and determinants of economic activities as well as children's issues and issues involved in the creation of the American Time Use Survey (ATUS).
Author: Judith Treas
Publisher: Stanford University Press
ISBN: 0804773742
Category : Social Science
Languages : en
Pages : 280
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Book Description
In Dividing the Domestic, leading international scholars roll up their sleeves to investigate how culture and country characteristics permeate our households and our private lives. The book introduces novel frameworks for understanding why the household remains a bastion of traditional gender relations—even when employed full-time, women everywhere still do most of the work around the house, and poor women spend more time on housework than affluent women. Education systems, tax codes, labor laws, public polices, and cultural beliefs about motherhood and marriage all make a difference. Any accounting of "who does what" needs to consider the complicity of trade unions, state arrangements for children's schooling, and new cultural prescriptions for a happy marriage. With its cross-national perspective, this pioneering volume speaks not only to sociologists concerned with gender and family, but also to those interested in scholarship on states, public policy, culture, and social inequality.
Author: Wendy E. Pentland
Publisher: Springer Science & Business Media
ISBN: 0306459515
Category : Social Science
Languages : en
Pages : 290
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Book Description
This collection demonstrates the use and variety of applications of time use methodology from multidisciplinary, multinational, and multicultural perspectives. A distinguished roster of contributors from such fields as psychology, occupational therapy, sociology, economics, and architecture examines the complex relationship between human time utilization and health and well-being and evaluates the future of time use analysis as a research tool in the social sciences.
Author: I. Gusti Ngurah Agung
Publisher: John Wiley & Sons
ISBN: 1118176308
Category : Mathematics
Languages : en
Pages : 502
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Book Description
Do you want to recognize the most suitable models for analysis of statistical data sets? This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples and with an emphasis on how to develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical or econometric models for time series data. The procedures introduced are easily extendible to cross-section data sets. The author: Provides step-by-step directions on how to apply EViews software to time series data analysis Offers guidance on how to develop and evaluate alternative empirical models, permitting the most appropriate to be selected without the need for computational formulae Examines a variety of times series models, including continuous growth, discontinuous growth, seemingly causal, regression, ARCH, and GARCH as well as a general form of nonlinear time series and nonparametric models Gives over 250 illustrative examples and notes based on the author's own empirical findings, allowing the advantages and limitations of each model to be understood Describes the theory behind the models in comprehensive appendices Provides supplementary information and data sets An essential tool for advanced undergraduate and graduate students taking finance or econometrics courses. Statistics, life sciences, and social science students, as well as applied researchers, will also find this book an invaluable resource.
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Christina A. Russell
Publisher: IAP
ISBN: 1648022553
Category : Education
Languages : en
Pages : 357
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Book Description
Measure, Use, Improve! Data Use in Out-of-School Time shares the experience and wisdom from a broad cross-section of out-of-school time professionals, ranging from internal evaluators, to funders, to researchers, to policy advocates. Key themes of the volume include building support for learning and evaluation within out-of-school time programs, creating and sustaining continuous quality improvement efforts, authentically engaging young people and caregivers in evaluation, and securing funder support for learning and evaluation. This volume will be particularly useful to leadership-level staff in out-of-school time organizations that are thinking about deepening their own learning and evaluation systems, yet aren’t sure where to start. Authors share conceptual frameworks that have helped inform their thinking, walk through practical examples of how they use data in out-of-school time, and offer advice to colleagues.
Author: Katharine G. Abraham
Publisher: University of Chicago Press
ISBN: 022680125X
Category : Business & Economics
Languages : en
Pages : 502
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Book Description
Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.
Author: Robert Shumway
Publisher: CRC Press
ISBN: 1000008398
Category : Mathematics
Languages : en
Pages : 218
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Book Description
The goals of this text are to develop the skills and an appreciation for the richness and versatility of modern time series analysis as a tool for analyzing dependent data. A useful feature of the presentation is the inclusion of nontrivial data sets illustrating the richness of potential applications to problems in the biological, physical, and social sciences as well as medicine. The text presents a balanced and comprehensive treatment of both time and frequency domain methods with an emphasis on data analysis. Numerous examples using data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and the analysis of economic and financial problems. The text can be used for a one semester/quarter introductory time series course where the prerequisites are an understanding of linear regression, basic calculus-based probability skills, and math skills at the high school level. All of the numerical examples use the R statistical package without assuming that the reader has previously used the software. Robert H. Shumway is Professor Emeritus of Statistics, University of California, Davis. He is a Fellow of the American Statistical Association and has won the American Statistical Association Award for Outstanding Statistical Application. He is the author of numerous texts and served on editorial boards such as the Journal of Forecasting and the Journal of the American Statistical Association. David S. Stoffer is Professor of Statistics, University of Pittsburgh. He is a Fellow of the American Statistical Association and has won the American Statistical Association Award for Outstanding Statistical Application. He is currently on the editorial boards of the Journal of Forecasting, the Annals of Statistical Mathematics, and the Journal of Time Series Analysis. He served as a Program Director in the Division of Mathematical Sciences at the National Science Foundation and as an Associate Editor for the Journal of the American Statistical Association and the Journal of Business & Economic Statistics.
Author: John Haltiwanger
Publisher: University of Chicago Press
ISBN: 0226314596
Category : Business & Economics
Languages : en
Pages : 494
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Book Description
Rapidly changing technology, the globalization of markets, and the declining role of unions are just some of the factors that have led to dramatic changes in working conditions in the United States. Little attention has been paid to the difficult measurement problems underlying analysis of the labor market. Labor Statistics Measurement Issues helps to fill this gap by exploring key theoretical and practical issues in the measurement of employment, wages, and workplace practices. Some of the chapters in this volume explore the conceptual issues of what is needed, what is known, or what can be learned from existing data, and what needs have not been met by available data sources. Others make innovative uses of existing data to analyze these topics. Also included are papers examining how answers to important questions are affected by alternative measures used and how these can be reconciled. This important and useful book will find a large audience among labor economists and consumers of labor statistics.
Author: Vera Pawlowsky-Glahn
Publisher: John Wiley & Sons
ISBN: 111900313X
Category : Mathematics
Languages : en
Pages : 274
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Book Description
Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method. Based upon short courses delivered by the authors, it provides a complete and current compendium of fundamental to advanced methodologies along with exercises at the end of each chapter to improve understanding, as well as data and a solutions manual which is available on an accompanying website. Complementing Pawlowsky-Glahn’s earlier collective text that provides an overview of the state-of-the-art in this field, Modeling and Analysis of Compositional Data fills a gap in the literature for a much-needed manual for teaching, self learning or consulting.
