Big Data Applications in Labor Economics

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.

About the author

Benjamin Elsner, an Assistant Professor of Economics at University College Dublin since 2018, specializes as an applied microeconomist, focusing on fields such as education, migration, and microeconometrics.
Solomon W. Polachek, a Distinguished Professor at the State University of New York at Binghamton, has significantly impacted labor economics and international relations through his extensive research and academic work.

Summary

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.

Product details

• Assisted by: Benjamin Elsner (Editor), Benjamin (University College Dublin Elsner (Editor), Solomon W Polachek (Editor), Solomon W. (State University of New York at Binghamton Polachek (Editor)
• Publisher: Emerald Publishing Limited
• Languages: English
• Product format: Hardback
• Released: 10.12.2024
• EAN: 9781835499757
• ISBN: 978-1-83549-975-7
• No. of pages: 280
• Dimensions: 158 mm x 237 mm x 22 mm
• Weight: 523 g
• Series: Research in Labor Economics
• Subject: Social sciences, law, business > Business > General, dictionaries