MARC details
| 000 -LEADER |
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| fixed length control field |
02819nam a22002537a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250617165559.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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250617b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781835499757 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
331 |
| Item number |
ELS |
| 245 ## - TITLE STATEMENT |
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| Title |
Big data applications in labor economics (Part-A) |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
Emerald Publishing Limited |
| Place of publication, distribution, etc. |
Leeds |
| Date of publication, distribution, etc. |
2025 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xviii, 260 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
GBP |
| Price amount |
95.00 |
| 490 ## - SERIES STATEMENT |
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| Series statement |
Research in Labor Economics |
| 500 ## - GENERAL NOTE |
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| General note |
Table of Contents:<br/><br/>Chapter 1. Labor Force Transition Dynamics: Unemployment Rate or Job Posting Counts?; Kailing Shen and Yanran Zhu<br/>Chapter 2. The Labor Demand Side of Involuntary Part-time Employment; Hyeri Choi and Ioana Marinescu<br/>Chapter 3. What Do Wages in Online Job Postings Tell Us About Wage Growth?; Pawel Adrjan and Reamonn Lydon<br/>Chapter 4. Online Vacancies and their Role in Labor Market Performance; Leonardo Fabio Morales, Carlos Ospino, and Nicole Amaral<br/>Chapter 5. Demand for Personality Traits, Tasks, and Sorting; Vera Brenčič and Andrew McGee<br/>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 ## - SUMMARY, ETC. |
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| Summary, etc. |
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.<br/><br/>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.<br/><br/>(https://bookstore.emerald.com/big-data-applications-in-labor-economics-hb-9781835499757.html#firsty.info.description) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Bigdata |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Economics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Labor economics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Demographic economics/trends |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Elsner, Benjamin [Editor] |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Polachek, Solomon W. [Editor] |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
