Big data applications in labor economics. Part A /
In 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 her...
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| Other Authors | , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Bingley, U.K. :
Emerald Publishing Limited,
2024.
|
| Series | Research in labor economics ;
V52, Part A |
| Subjects | |
| Online Access | Full text |
| ISBN | 9781835499764 |
| DOI | 10.1108/S0147-9121202552A |
| Physical Description | 1 online resource (280 pages). |
Cover
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| 080 | |a 331 | ||
| 082 | 0 | 4 | |a 331 |2 23 |
| 245 | 0 | 0 | |a Big data applications in labor economics. |n Part A / |c edited by Benjamin Elsner, Solomon W. Polachek. |
| 264 | 1 | |a Bingley, U.K. : |b Emerald Publishing Limited, |c 2024. | |
| 264 | 4 | |c ©2025 | |
| 300 | |a 1 online resource (280 pages). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Research in labor economics ; |v V52, Part A | |
| 500 | |a Includes index. | ||
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 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 Brencic 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 | |a In 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. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Labor economics. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Elsner, Benjamin, |e editor. | |
| 700 | 1 | |a Polachek, Solomon W., |e editor. | |
| 776 | 0 | 8 | |i Print version: |z 9781835499757 |
| 776 | 0 | 8 | |i PDF version: |z 9781835499740 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/S0147-9121202552A |