Big Data Applications in Labor Economics
eBook - ePub

Big Data Applications in Labor Economics

  1. 436 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Big Data Applications in Labor Economics

About this book

This volume contains an Open Access chapter.

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 recent trends in the digitalization of job postings, the use of online vacancy and job applicants' data to study skill dynamics, the insights gained from linked vacancy data regarding skill demand and wages, the tracking of gender norms over time, the utilization of domain-specific word embeddings to examine the demand for skills, the latest evidence on employee agreements in the franchise sector, and the impact of vertical restraints on labor markets in franchised industries. All chapters use a combination of innovative data sources and machine learning methods to enhance our understanding of how labor markets work.

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Yes, you can access Big Data Applications in Labor Economics by Benjamin Elsner,Solomon W. Polachek in PDF and/or ePUB format, as well as other popular books in Economics & Labour Economics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Series Editor
  3. Editorial Advisory Board
  4. Title
  5. Copyright
  6. Contents
  7. List of Contributors
  8. Preface
  9. Letting Job Postings Talk: Recent Trends in Digitalization
  10. Using Online Vacancy and Job Applicants’ Data to Study Skills Dynamics
  11. Skill Demand and Wages: Evidence From Linked Vacancy Data
  12. The Times Have Changed: Tracking the Evolution of Gender Norms Over Time
  13. Using Domain-Specific Word Embeddings to Examine the Demand for Skills
  14. New Evidence on Employee Noncompete, No Poach, and No Hire Agreements in the Franchise Sector
  15. Vertical Restraints and Labor Markets in Franchised Industries