Laurence Ales

Associate Professor Carnegie Mellon University

  • Pittsburgh PA

Laurence Ales' research interests include macroeconomics, optimal taxation, and contract theory.

Contact

Carnegie Mellon University

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Biography

Laurence Ales' research focuses on the study of inequality and the design of tax policy. His recent work studies the impact that future disruptive technologies will have on labor markets and determines the best response of policy makers. His work also explores optimal taxation, especially of the very wealthy.

Areas of Expertise

Disruptive Technologies
Tax Policy
Economics
Optimal Taxation
Macroeconomics
Contract Theory
Labor Markets

Media Appearances

Student Studies State Pandemic Policies, Consumer Behaviors

Carnegie Mellon University News  online

2020-09-03

Laurence Ales, an associate professor of economics and director of Undergraduate Research in Economics, is advising Xu. Last summer Xu worked with Ales through the Summer Undergraduate Research Apprenticeship program where he helped translate Chinese regional economic data to U.S. standards.

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Time for Tax Cuts? ‘Trickle-down Economics’ Vs. ‘spillover Effects’

American Enterprise Institute  online

2017-01-03

One perspective can found over at the American Economic Association blog where Chris Fleisher features a Q&A with Carrnegie Mellon University economists Laurence Ales and Christopher Sleet. Their recent American Economic Review paper argues that the the marginal tax rate on top earning CEOs should be closer to 20% vs. the current top tax rate of 40%.

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Five industries affected by automation right now

Yahoo Finance  online

2021-09-17

Amazon’s huge scale makes robotics a tempting proposition. “We find that large firms are more likely to automate low- to middle-skill tasks. The reason for this is that a large retailer such as Amazon can keep a machine busy and use it to its full potential, something that a smaller retailer cannot,” explains Laurence Ales, associate professor of economics at Carnegie Mellon University's Tepper School of Business.

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Social

Industry Expertise

Research
Education/Learning
Writing and Editing

Accomplishments

Favorite MBA Professors Of The Class Of 2021

2021

Poets & Quants

Richard M. Cyert Award for Excellence in Teaching

2023

Tepper School of Business, Carnegie Mellon University

Christopher Freeman and Richard R. Nelson Prize

2023

Education

University of Minnesota

Ph.D.

Economics

2008

University of Minnesota

M.S.

Economics

2007

University of Rome – Tor Vergata

B.S.

Physics

2002

Affiliations

  • Macroeconomic Dynamics : Associate Editor
  • Carnegie-Rochester-NYU Conference on Public Policy : Advisory Board Member

Languages

  • English
  • Italian

Event Appearances

Optimal Taxation of Income-Generating Choice

2020 Econometric Society World Congress  Zoom

How It’s Made: A General Theory of the Labor Implications of Technological Change

2021 SED  Minneapolis, MN

How It’s Made: A General Theory of the Labor Implications of Technological Change

2020 US Census  

Articles

Taxing Top CEO Incomes

American Economic Review

2016

We use a firm-CEO assignment framework to model the market for CEO effective labor. In the model's equilibrium, more talented CEOs match with and supply more effort to larger firms. Taxation of CEO incomes affects the equilibrium pricing of CEO effective labor and, hence, spills over and affects firm profits.

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Optimal Award Scheme in Innovation Tournaments

Operations Research

2017

In an innovation tournament, an organizer solicits innovative ideas from a number of independent agents. Agents exert effort to develop their solutions, but their outcomes are unknown due to technical uncertainty and/or subjective evaluation criteria. To incentivize agents to make their best effort, the organizer needs to devise a proper award scheme.

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Innovation and Crowdsourcing Contests

Sharing Economy

2019

In an innovation contest, an organizer seeks solutions to an innovation-related problem from a group of independent agents. Agents, who can be heterogeneous in their ability levels, exert efforts to improve their solutions, and their solution qualities are uncertain due to the innovation and evaluation processes.

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