• Log In
  • Skip to main content
  • Skip to primary sidebar

MIS Distinguished Speaker Series

Temple University

Oct 24: Prasanna Tambe to Present “Learning and Wages in High-Tech Labor Markets”

September 30, 2014 By Brad Greenwood

Prasanna Tambe
Associate Professor of Information, Operations, and Management Sciences
New York University

Friday, October 24, 2014

10:00am – 11:30am Speakman Hall 200
Seminar Title: Learning and Wages in High-Tech Labor Markets

Abstract

Using a new data source on the reservation wages of IT workers, we argue that IT workers often accept lower pay in exchange for acquiring new technical skills on-the-job. This drives a wedge between workers’ pay and their perceived market value that is a) larger for IT workers than for other professionals, b) larger for mid-career IT workers, c) increasing in job tenure and d) larger for IT workers in high-tech regions. These effects are largest at employers that are investing in new technologies and for workers with the human capital that is most impacted by recent technological innovation, both of which are consistent with an explanation based on skill acquisition. These findings are also robust to a number of alternative explanations for why high-tech workers accept lower wages, including greater use of stock options, perks, and other non-wage compensation by high-tech employers, immigration-related mobility restrictions, and explanations based on labor market information asymmetries. The implications of this wedge for some notable features of the IT labor market—such as IT turnover rates and age-based sorting of IT workers across firms and IT industries—are discussed.

Tagged With:

Primary Sidebar

RSS MIS News

  • AIS Student Chapter Leadership Conference 2025 April 17, 2025
  • Temple AIS wins at the 2024 AIS Software Innovation Challenge! January 15, 2025
  • 10 Week Summer Internship in CyberSecurity October 7, 2024
  • Volunteer for Cybersecurity Awareness Month October 7, 2024
  • MIS faculty awarded promotions June 17, 2024

Tags

AI amrit tiwana Artificial Intelligence blockchain boston college bots brian butler carnegie mellon univ crowd culture deception Deep Learning Design experiment Field Experiment financial technology georgia state georgia tech Healthcare Human vs AI information security Innovation Institutional Theory IT Outsourcing long tail Machine Learning machines Maryland media Online Communities platform privacy productivity Quasi-natural experiment recommender systems simulation Social Capital social media social network steven johnson technology adoption temple univ user generated content UT Dallas wharton

Archives

Copyright © 2025 Department of Management Information Systems · Fox School of Business · Temple University