Big Data for the Labor Market: Sources, Uses and Opportunities

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Big Data for the Labor Market: Sources, Uses and Opportunities by : Julia Nitschke

Download or read book Big Data for the Labor Market: Sources, Uses and Opportunities written by Julia Nitschke and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Anticipating and Preparing for Emerging Skills and Jobs

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Publisher : Springer Nature
ISBN 13 : 9811570183
Total Pages : 351 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Anticipating and Preparing for Emerging Skills and Jobs by : Brajesh Panth

Download or read book Anticipating and Preparing for Emerging Skills and Jobs written by Brajesh Panth and published by Springer Nature. This book was released on 2020-11-02 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book analyzes the main drivers that are influencing the dramatic evolution of work in Asia and the Pacific and identifies the implications for education and training in the region. It also assesses how education and training philosophies, curricula, and pedagogy can be reshaped to produce workers with the skills required to meet the emerging demands of the Fourth Industrial Revolution. The book’s 40 articles cover a wide range of topics and reflect the diverse perspectives of the eminent policy makers, practitioners, and researchers who authored them. To maximize its potential impact, this Springer-Asian Development Bank co-publication has been made available as open access.

Big Data for Twenty-First-Century Economic Statistics

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Publisher : University of Chicago Press
ISBN 13 : 022680125X
Total Pages : 502 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis Big Data for Twenty-First-Century Economic Statistics by : Katharine G. Abraham

Download or read book Big Data for Twenty-First-Century Economic Statistics written by Katharine G. Abraham and published by University of Chicago Press. This book was released on 2022-03-11 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information Technology and the U.S. Workforce

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Publisher : National Academies Press
ISBN 13 : 0309454050
Total Pages : 199 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Information Technology and the U.S. Workforce by : National Academies of Sciences, Engineering, and Medicine

Download or read book Information Technology and the U.S. Workforce written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2017-04-18 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have yielded significant advances in computing and communication technologies, with profound impacts on society. Technology is transforming the way we work, play, and interact with others. From these technological capabilities, new industries, organizational forms, and business models are emerging. Technological advances can create enormous economic and other benefits, but can also lead to significant changes for workers. IT and automation can change the way work is conducted, by augmenting or replacing workers in specific tasks. This can shift the demand for some types of human labor, eliminating some jobs and creating new ones. Information Technology and the U.S. Workforce explores the interactions between technological, economic, and societal trends and identifies possible near-term developments for work. This report emphasizes the need to understand and track these trends and develop strategies to inform, prepare for, and respond to changes in the labor market. It offers evaluations of what is known, notes open questions to be addressed, and identifies promising research pathways moving forward.

Can big data save labor market information systems?

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Publisher : RTI Press
ISBN 13 :
Total Pages : 8 pages
Book Rating : 4./5 ( download)

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Book Synopsis Can big data save labor market information systems? by : Eric Johnson

Download or read book Can big data save labor market information systems? written by Eric Johnson and published by RTI Press. This book was released on 2016-08-03 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: Labor markets desperately need information to function effectively and efficiently, making labor market information systems critical public investments. Yet government systems face significant challenges in collecting quality data, turning it into useable market intelligence, and disseminating it in a timely, relevant manner, a situation more acute in developing countries. The rise of private, real-time labor market information (LMI), such as web-based job posting analytics, social network inferences, crowdsourcing, and mobile phone polling, has garnered interest and questioned the dominance of traditional approaches. This brief explores the use of real-time LMI and presents interviews conducted with international donor officials to gain their perspectives on its applicability in developing countries. I suggest that real-time LMI is unlikely to supplant traditional LMI collection anytime soon, and I dispel notions that these new approaches might leapfrog current data collection challenges. Real-time LMI can provide useful in special cases and for supplemental analysis, an additional lubricant for labor markets that suffer from weak data. Policy that supports the improvement of traditional LMI and promotes access to real-time LMI is warranted.

Tracking the Labor Market with "Big Data"

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Tracking the Labor Market with "Big Data" by : Tomaz Cajner

Download or read book Tracking the Labor Market with "Big Data" written by Tomaz Cajner and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In our research, we explore the information content of the ADP microdata alone by producing an estimate of employment changes independent from the BLS payroll series as well as from other data sources.

Big Data Applications in Labor Economics

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Publisher : Emerald Publishing Limited
ISBN 13 : 9781835499757
Total Pages : 0 pages
Book Rating : 4.4/5 (997 download)

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Book Synopsis Big Data Applications in Labor Economics by : Benjamin Elsner

Download or read book Big Data Applications in Labor Economics written by Benjamin Elsner and published by Emerald Publishing Limited. This book was released on 2024-12-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Applications in Labor Economics showcases news original research using Big Data to gain new insights into how labor markets work. The volume is compiled by Solomon Polachek, a pioneer in gender-related labor market research, and Benjamin Elsner, an expert on causal inference and the economics of migration.

Longitudinal Labor Market Data

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Publisher :
ISBN 13 :
Total Pages : 44 pages
Book Rating : 4.:/5 (22 download)

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Book Synopsis Longitudinal Labor Market Data by : Orley Ashenfelter

Download or read book Longitudinal Labor Market Data written by Orley Ashenfelter and published by . This book was released on 1982 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Future What Soft Or Hard Skills That Employees Need: To Own

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Publisher : Independently Published
ISBN 13 : 9781091416802
Total Pages : 42 pages
Book Rating : 4.4/5 (168 download)

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Book Synopsis Future What Soft Or Hard Skills That Employees Need: To Own by : Johnny Ch Lok

Download or read book Future What Soft Or Hard Skills That Employees Need: To Own written by Johnny Ch Lok and published by Independently Published. This book was released on 2019-03-24 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data -analysis skill needsIn the future, most organizations will have a number of jobs that include data analysis. Economists and labor market forecasters predict occupations need data analytical skill will need much. In addition, fast technological development means th types of technologies and applications workers in this field will need to be familiar with data analytical skill rapidly. It seems that data analytical jobs will have new job opportunity to employees with in-demand skills in future global labor market.Why and how do employers demand for data analysis skills? Data analysis skills mean the ability to gather, analyze and draw practical conclusions from data as well as communicate data findings to others. The occupations include: data analyst, data scientist, statistician, market research analyst, financial analyst, research manager. In business career, many employers expect to employ statisticans, operations researh analysts, market research analysts and marketing specialists to assist their organizations to gather useful data from market in order to analyze and draw practical conclusions and finding the best solutions or methods to win their competitors.Therefore, these data analysis jobs will have much need. Large size organizations with 500 or more employees were more likely than small or medium size organizations with 25 to 499 employees to plan hired data analysis positons in the future. For example, human source department will use big data to help make strategic decisions. How HR uses big data . HR will use big data for sourcing, recruitment, or selection, identifying causes of turnover and/or employee retention strategies or trends, managing talent and performance. Why organizations do not use big data. It is possible that they lack of knowledg expertise, the majority of organizatons will have data analysis positions within accounting and finance department, human resources department, business and administration department, information technology department, marketing, advertising and sales department, supply chain and operations department, research and development department, customer service department and other departments. So, future data analysis skill will need to used in different organizational departments.

Big Data

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Publisher : International Monetary Fund
ISBN 13 : 1484318978
Total Pages : 41 pages
Book Rating : 4.4/5 (843 download)

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Book Synopsis Big Data by : Cornelia Hammer

Download or read book Big Data written by Cornelia Hammer and published by International Monetary Fund. This book was released on 2017-09-13 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data are part of a paradigm shift that is significantly transforming statistical agencies, processes, and data analysis. While administrative and satellite data are already well established, the statistical community is now experimenting with structured and unstructured human-sourced, process-mediated, and machine-generated big data. The proposed SDN sets out a typology of big data for statistics and highlights that opportunities to exploit big data for official statistics will vary across countries and statistical domains. To illustrate the former, examples from a diverse set of countries are presented. To provide a balanced assessment on big data, the proposed SDN also discusses the key challenges that come with proprietary data from the private sector with regard to accessibility, representativeness, and sustainability. It concludes by discussing the implications for the statistical community going forward.

The Flow Approach to Labor Markets

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Publisher :
ISBN 13 :
Total Pages : 41 pages
Book Rating : 4.:/5 (255 download)

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Book Synopsis The Flow Approach to Labor Markets by : Steven J. Davis

Download or read book The Flow Approach to Labor Markets written by Steven J. Davis and published by . This book was released on 2006 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: New data sources and products developed by the Bureau of Labor Statistics and the Bureau of the Census highlight the fluid character of U.S. labor markets. Private-sector job creation and destruction rates average nearly 8% of employment per quarter. Worker flows in the form of hires and separations are more than twice as large. The data also underscore the lumpy nature of micro-level employment adjustments. More than two-thirds of job destruction occurs at establishments that shrink by more than 10% within the quarter, and more than one-fifth occurs at those that shut down. Our study also uncovers highly nonlinear relationships of worker flows to employment growth and job flows at the micro level. These micro relations interact with movements over time in the crosssectional density of establishment growth rates to produce recurring cyclical patterns in aggregate labor market flows. Cyclical movements in the layoffs-separation ratio, for example, and the propensity of separated workers to become unemployed reflect distinct micro relations for quits and layoffs. A dominant role for the job-finding rate in accounting for unemployment movements in mild downturns and a bigger role for the job-loss rate in severe downturns reflect distinct micro relations for hires and layoffs.

Chapter Big data analysis and labour market: an analysis of Italian online job vacancies data

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Publisher :
ISBN 13 : 9788855184618
Total Pages : 0 pages
Book Rating : 4.1/5 (846 download)

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Book Synopsis Chapter Big data analysis and labour market: an analysis of Italian online job vacancies data by : Cristina Martelli

Download or read book Chapter Big data analysis and labour market: an analysis of Italian online job vacancies data written by Cristina Martelli and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economists and social scientists are increasingly making use of web data to address socio-economic issues and to integrate existing sources of information. The data produced by online platforms and websites could produce a lot of useful and multidimensional information with a variety of potential applications in socio-economic analysis. In this respect, with the internet growth and knowledge, many aspects of job search have been transformed due to the availability of online tools for job searching, candidate searching and job matching. In European countries there is growing interest in designing and implementing real labour market information system applications for internet labour market data in order to support policy design and evaluation through evidence-based decision-making. The analysis of labour market web data could provide useful information for policy-makers to define labour market strategies as big data, jointly with official statistics, support policy makers in a pressing policy question namely "How to tackle the mismatch between jobs and skills?". In this regard, the topic of skills gap, how to measure it and how to bridge it with education and continuous training have been tackled by using the big data collection, such as the Cedefop (European Center for the Development of Vocational Training) initiative and the Wollybi Project (made by Burning Glass). In this framework, this contribution focuses on the issues arising from the use (and the usefulness) of on-line job vacancy data to analyse the Italian labour market by using the Wollybi data available for the years 2019 and 2020. Furthermore, the availability of data for the year 2020, will allow us to evaluate whether there has been an impact of COVID19 in terms of needed skills and required occupations in the online job vacancies.

Seeing Cities Through Big Data

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Publisher : Springer
ISBN 13 : 3319409026
Total Pages : 554 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Seeing Cities Through Big Data by : Piyushimita (Vonu) Thakuriah

Download or read book Seeing Cities Through Big Data written by Piyushimita (Vonu) Thakuriah and published by Springer. This book was released on 2016-10-07 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.

Handbook on Measuring Digital Platform Employment and Work

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Publisher : OECD Publishing
ISBN 13 : 9264518908
Total Pages : 141 pages
Book Rating : 4.2/5 (645 download)

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Book Synopsis Handbook on Measuring Digital Platform Employment and Work by : OECD

Download or read book Handbook on Measuring Digital Platform Employment and Work written by OECD and published by OECD Publishing. This book was released on 2023-03-31 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: National Statistical Offices face a growing policy demand for better statistics on digital platform employment and work. New statistical definitions are needed to avoid undercounting the number of people involved in these jobs.

Can Big Data Save Labor Market Information Systems?

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (131 download)

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Book Synopsis Can Big Data Save Labor Market Information Systems? by : Eric Johnson

Download or read book Can Big Data Save Labor Market Information Systems? written by Eric Johnson and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Labor markets desperately need information to function effectively and efficiently, making labor market information systems critical public investments. Yet government systems face significant challenges in collecting quality data, turning it into useable market intelligence, and disseminating it in a timely, relevant manner, a situation more acute in developing countries. The rise of private, real-time labor market information (LMI), such as web-based job posting analytics, social network inferences, crowdsourcing, and mobile phone polling, has garnered interest and questioned the dominance of traditional approaches. This brief explores the use of real-time LMI and presents interviews conducted with international donor officials to gain their perspectives on its applicability in developing countries. I suggest that real-time LMI is unlikely to supplant traditional LMI collection anytime soon, and I dispel notions that these new approaches might leapfrog current data collection challenges. Real-time LMI can provide useful in special cases and for supplemental analysis, an additional lubricant for labor markets that suffer from weak data. Policy that supports the improvement of traditional LMI and promotes access to real-time LMI is warranted.

New Horizons for a Data-Driven Economy

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Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 312 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Toward Labor Market Policy 2.0

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Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (989 download)

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Book Synopsis Toward Labor Market Policy 2.0 by : Shinsaku Nomura

Download or read book Toward Labor Market Policy 2.0 written by Shinsaku Nomura and published by . This book was released on 2017 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Economists and other social scientists are increasingly using big data analytics to address longstanding economic questions and complement existing information sources. Big data produced by online platforms can yield a wealth of diverse, highly granular, multidimensional information with a variety of potential applications. This paper examines how online job-portal data can be used as a basis for policy-relevant research in the fields of labor economics and workforce skills development, through an empirical analysis of information generated by Babajob, an online Indian job portal. The analysis highlights five key areas where online job-portal data can contribute to the development of labor market policies and analytical knowledge: (i) labor market monitoring and analysis; (ii) assessing demand for workforce skills; (iii) observing job-search behavior and improving skills matching; (iv) predictive analysis of skills demand; and (v) experimental studies. The unique nature of the data produced by online job-search portals allows for the application of diverse analytical methodologies, including descriptive data analysis, time-series analysis, text analysis, predictive analysis, and transactional data analysis. This paper is intended to contribute to the academic literature and the development of public policies. It contributes to the literature on labor economics through application of big data analytics to real-world data. The analysis also provides a unique case study on labor market data analytics in a developing-country context in South Asia. Finally, the report examines the potential for using big data to improve the design and implementation of labor market policies and promote demand-driven skills development.