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Publications

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  • All HBS Web  (2,528)
    • People  (2)
    • News  (928)
    • Research  (1,280)
    • Events  (25)
    • Multimedia  (80)
  • Faculty Publications  (545)

Show Results For

  • All HBS Web  (2,528)
    • People  (2)
    • News  (928)
    • Research  (1,280)
    • Events  (25)
    • Multimedia  (80)
  • Faculty Publications  (545)
← Page 21 of 2,528 Results →
  • 27 Nov 2013
  • Working Paper Summaries

Skilled Immigration and the Employment Structures of US Firms

Keywords: by Sari Pekkala Kerr, William R. Kerr & William F. Lincoln
  • November 2020
  • Article

Tackling Youth Unemployment: Evidence from a Labor Market Experiment in Uganda

By: Livia Alfonsi, Oriana Bandiera, Vittorio Bassi, Robin Burgess, Imran Rasul, Munshi Sulaiman and Anna Vitali
We design a labor market experiment to compare demand- and supply-side policies to tackle youth unemployment, a key issue in low-income countries. The experiment tracks 1700 workers and 1500 firms over four years to compare the effect of offering workers either... View Details
Keywords: Employment; Training; Competency and Skills; Developing Countries and Economies
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Alfonsi, Livia, Oriana Bandiera, Vittorio Bassi, Robin Burgess, Imran Rasul, Munshi Sulaiman, and Anna Vitali. "Tackling Youth Unemployment: Evidence from a Labor Market Experiment in Uganda." Econometrica 88, no. 6 (November 2020): 2369–2414.
  • 2020
  • Working Paper

Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion

By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
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Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Harvard Business School Working Paper, No. 21-073, October 2020. (Revised September 2021.)
  • January 2018
  • Article

Who Gets Hired? The Importance of Competition Among Applicants

By: Edward P. Lazear, Kathryn L. Shaw and Christopher Stanton
Despite seeming to be an important requirement for hiring, the concept of a slot is absent from virtually all of economics. Macroeconomic studies of vacancies and search come closest, but the implications of slot-based hiring for individual worker outcomes has not been... View Details
Keywords: Hiring; Selection and Staffing; Employment; Competency and Skills
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Lazear, Edward P., Kathryn L. Shaw, and Christopher Stanton. "Who Gets Hired? The Importance of Competition Among Applicants." Journal of Labor Economics 36, no. S1 (January 2018): S133–S181.
  • Winter 2014
  • Article

Labor Regulations and European Venture Capital

By: Ant Bozkaya and William R. Kerr
European nations substitute between employment protection regulations and labor market expenditures (e.g., unemployment insurance benefits) for providing worker insurance. Employment regulations more directly tax firms making frequent labor adjustments than other labor... View Details
Keywords: Insurance; Labor; Europe
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Bozkaya, Ant, and William R. Kerr. "Labor Regulations and European Venture Capital." Journal of Economics & Management Strategy 23, no. 4 (Winter 2014): 776–810.
  • December 24, 2020
  • Article

How Businesses Can Find “Hidden Workers”

By: Joseph B. Fuller, Manjari Raman, Eva Sage-Gavin and Ladan Davarzani
Even before the COVID-19 pandemic, low- and middle-skill workers struggled to find and retain steady work. Now, many of these workers are considered “essential,” while many others are unemployed and struggling to find work. As the pandemic eases throughout 2021,... View Details
Keywords: Health Pandemics; Employees; Selection and Staffing
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Fuller, Joseph B., Manjari Raman, Eva Sage-Gavin, and Ladan Davarzani. "How Businesses Can Find 'Hidden Workers'." Harvard Business Review Digital Articles (December 24, 2020).
  • 17 Oct 2022
  • News

Old-school employers like AT&T, Cisco, and Microsoft may offer the best career advancement

  • January 2016
  • Article

Making Do with Less: Working Harder During Recessions

By: Edward P. Lazear, Kathryn L. Shaw and Christopher Stanton
Why did productivity rise during recent recessions? One possibility is that average worker quality increased. A second is that each incumbent worker produced more. The second effect is termed "making do with less." Using data from 2006 to 2010 on individual worker... View Details
Keywords: Performance Productivity; Economic Slowdown and Stagnation
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Lazear, Edward P., Kathryn L. Shaw, and Christopher Stanton. "Making Do with Less: Working Harder During Recessions." Journal of Labor Economics 34, no. S1 (January 2016): S333–S360.
  • 04 Sep 2013
  • News

Why businesses should let employees work less, think more

  • 2016
  • Working Paper

Who Gets Hired?: The Importance of Finding an Open Slot

By: Edward P. Lazear, Kathryn L. Shaw and Christopher Stanton
Despite seeming to be an important requirement for hiring, the concept of a slot is absent from virtually all of economics. Macroeconomic studies of vacancies and search come closest, but the implications of slot-based hiring for individual worker outcomes has not been... View Details
Keywords: Hiring; Selection and Staffing; Employment
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Lazear, Edward P., Kathryn L. Shaw, and Christopher Stanton. "Who Gets Hired? The Importance of Finding an Open Slot." Harvard Business School Working Paper, No. 16-128, May 2016.
  • 02 Sep 2021
  • News

Power for All

  • 15 Jun 2020
  • Research & Ideas

A Mass Crisis Can Overwhelm Health Care. Liberia Found a Solution.

The ongoing pandemic is forcing a rethink of how the health care system operates in the United States as the death toll climbs, unemployment soars, and leaders debate how best to diagnose, vaccinate, and potentially treat millions of people. In the US there are far... View Details
Keywords: by Rachel Layne; Health
  • Article

How Much (More) Should CEOs Make? A Universal Desire for More Equal Pay

By: Sorapop Kiatpongsan and Michael I. Norton
Do people from different countries and different backgrounds have similar preferences for how much more the rich should earn than the poor? Using survey data from 40 countries (N = 55,238), we compare respondents' estimates of the wages of people in different... View Details
Keywords: Inequality; Justice; Wage; Cross-cultural; Wages; Equality and Inequality; Fairness; Income; Employees; Management Teams; Cross-Cultural and Cross-Border Issues
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Kiatpongsan, Sorapop, and Michael I. Norton. "How Much (More) Should CEOs Make? A Universal Desire for More Equal Pay." Perspectives on Psychological Science 9, no. 6 (November 2014): 587–593.
  • 18 May 2022
  • News

Opinion: Want to Keep Your Employees Happy? Offer These 5 Things

  • 30 Jul 2013
  • News

Tackling the Chinese Pension System

  • 02 Sep 2014
  • News

How to Manage Scheduling Software Fairly

  • October 2015
  • Article

The Value of Bosses

By: Edward P. Lazear, Kathryn L. Shaw and Christopher Stanton
How and by how much do supervisors enhance worker productivity? Using a company-based data set on the productivity of technology-based services workers, supervisor effects are estimated and found to be large. Replacing a boss who is in the lower 10% of boss quality... View Details
Keywords: Supervisors; Management Skills; Employees; Performance Productivity
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Lazear, Edward P., Kathryn L. Shaw, and Christopher Stanton. "The Value of Bosses." Journal of Labor Economics 33, no. 4 (October 2015): 823–861.
  • Working Paper

Shifting Work Patterns with Generative AI

By: Eleanor W. Dillon, Sonia Jaffe, Nicole Immorlica and Christopher T. Stanton
We present evidence on how generative AI changes the work patterns of knowledge workers using data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers in the study received access to a generative AI tool integrated into the... View Details
Keywords: AI and Machine Learning; Behavior; Time Management
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Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher T. Stanton. "Shifting Work Patterns with Generative AI." NBER Working Paper Series, No. 33795, May 2025. (Conditionally Accepted at American Economic Review: Insights .)
  • Working Paper

The Returns to Skills During the Pandemic: Experimental Evidence from Uganda

By: Livia Alfonsi, Vittorio Bassi, Imran Rasul and Elena Spadini
The Covid-19 pandemic represents one of the most significant labor market shocks to the world economy in recent times. We present evidence from a field experiment to understand whether and why skilled and unskilled workers were differentially impacted by the shock, in... View Details
Keywords: COVID-19 Pandemic; System Shocks; Labor; Competency and Skills; Development Economics; Uganda
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Alfonsi, Livia, Vittorio Bassi, Imran Rasul, and Elena Spadini. "The Returns to Skills During the Pandemic: Experimental Evidence from Uganda." Harvard Business School Working Paper, No. 25-003, August 2024. (NBER Working Paper Series, No. 32785, August 2024.)
  • Article

Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption

By: Kyle Coombs, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu and Michael Stepner
In June 2021, 22 states ended all supplemental pandemic unemployment insurance (UI) benefits, eliminating benefits entirely for over 2 million workers and reducing benefits by $300 per week for over 1 million workers. Using anonymous bank transaction data and a... View Details
Keywords: COVID-19 Pandemic; Unemployment Insurance; Health Pandemics; Insurance; Employment; Financial Condition; Spending; Government Administration
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Coombs, Kyle, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu, and Michael Stepner. "Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption." AEA Papers and Proceedings 112 (May 2022): 85–90.
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