000			02819nam a22002537a 4500
005			20250617165559.0
008			250617b |||||||| |||| 00| 0 eng d
020			_a9781835499757
082			_a331 _bELS
245			_aBig data applications in labor economics (Part-A)
260			_bEmerald Publishing Limited _aLeeds _c2025
300			_axviii, 260 p.
365			_aGBP _b95.00
490			_aResearch in Labor Economics
500			_aTable of Contents: Chapter 1. Labor Force Transition Dynamics: Unemployment Rate or Job Posting Counts?; Kailing Shen and Yanran Zhu Chapter 2. The Labor Demand Side of Involuntary Part-time Employment; Hyeri Choi and Ioana Marinescu Chapter 3. What Do Wages in Online Job Postings Tell Us About Wage Growth?; Pawel Adrjan and Reamonn Lydon Chapter 4. Online Vacancies and their Role in Labor Market Performance; Leonardo Fabio Morales, Carlos Ospino, and Nicole Amaral Chapter 5. Demand for Personality Traits, Tasks, and Sorting; Vera Brenčič and Andrew McGee Chapter 6. Personality Characteristics Demanded by Employers: Analysis of Job Descriptions from University Job Boards; Luiza Antonie, Laura Gatto, Sarah Oloumi, and Miana Plesca
520			_aIn the digital age, Big Data offers an unparalleled lens into the intricacies of human behavior. Data sourced from job boards, social media platforms, or news websites allows researchers to answer questions that could not be answered with conventional data sources. Labor markets are no exception here: every day, millions of workers and firms interact, and big data allows us to better understand the complex dynamics arising from worker-firm interactions. This volume showcases new, original research using Big Data to gain fresh 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. Topics include labor force transition dynamics, the labor demand side of involuntary part-time employment, the insights gained from wages in online job postings regarding wage growth, the role of online vacancies in labor market performance, the demand for personality traits, and an analysis of job descriptions from university job boards. All chapters use a combination of innovative data sources and machine learning methods to enhance our understanding of how labor markets work. (https://bookstore.emerald.com/big-data-applications-in-labor-economics-hb-9781835499757.html#firsty.info.description)
650			_aBigdata _924590
650			_aEconomics
650			_aLabor economics
650			_aDemographic economics/trends _924593
700			_aElsner, Benjamin [Editor] _924591
700			_aPolachek, Solomon W. [Editor] _924592
942			_cBK _2ddc
999			_c9984 _d9984