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Management Practices, Workforce Selection and Productivity

Bender, Stefan - 2016

advanced management practices. Many of these practices - including monitoring, goal setting, and the use of incentives - are … unique data set that combines detailed survey data on the management practices of German manufacturing firms with … longitudinal earnings records for their employees to study the relationship between productivity, management, worker ability, and …

Persistent link: https://www.econbiz.de/10012456573

AI and Jobs : Evidence from Online Vacancies

Acemoglu, Daron; Autor, David H.; Hazell, Jonathon; … - National Bureau of Economic Research - 2022 - Revised February 2022

We study the impact of AI on labor markets, using establishment level data on vacancies with detailed occupational information comprising the near-universe of online vacancies in the US from 2010 onwards. We classify establishments as "AI exposed" when their workers engage in tasks that are...

Persistent link: https://www.econbiz.de/10012482476

Machine-Learning the Skill of Mutual Fund Managers

Kaniel, Ron; Lin, Zihan; Pelger, Markus; Nieuwerburgh, … - National Bureau of Economic Research - 2022

We show, using machine learning, that fund characteristics can consistently differentiate high from low-performing mutual funds, as well as identify funds with net-of-fees abnormal returns. Fund momentum and fund flow are the most important predictors of future risk-adjusted fund performance,...

Persistent link: https://www.econbiz.de/10012938692

Could Machine Learning be a General Purpose Technology? A Comparison of Emerging Technologies Using Data from Online Job Postings

Goldfarb, Avi; Taska, Bledi; Teodoridis, Florenta - National Bureau of Economic Research - 2022

General purpose technologies (GPTs) push out the production possibility frontier and are of strategic importance to managers and policymakers. While theoretical models that explain the characteristics, benefits, and approaches to create and capture value from GPTs have advanced significantly,...

Persistent link: https://www.econbiz.de/10012938736

Immigration and Regional Specialization in AI

Hanson, Gordon H. - National Bureau of Economic Research - 2021

I examine the specialization of US commuting zones in AI-related occupations over the 2000 to 2018 period. I define AI-related jobs based on keywords in Census occupational titles. Using the approach in Lin (2011) to identify new work, I measure job growth related to AI by weighting employment...

Persistent link: https://www.econbiz.de/10012510549

Using Satellite Imagery and Machine Learning to Estimate the Livelihood Impact of Electricity Access

Ratledge, Nathan; Cadamuro, Gabriel; Cuesta, Brandon de la - National Bureau of Economic Research - 2021

In many regions of the world, sparse data on key economic outcomes inhibits the development, targeting, and evaluation of public policy. We demonstrate how advancements in satellite imagery and machine learning can help ameliorate these data and inference challenges. In the context of an...

Persistent link: https://www.econbiz.de/10012629457

Harms of AI

Acemoglu, Daron - National Bureau of Economic Research - 2021

This essay discusses several potential economic, political and social costs of the current path of AI technologies. I argue that if AI continues to be deployed along its current trajectory and remains unregulated, it may produce various social, economic and political harms. These include:...

Persistent link: https://www.econbiz.de/10012629467

Fragile Algorithms and Fallible Decision-Makers : Lessons from the Justice System

Ludwig, Jens; Mullainathan, Sendhil - National Bureau of Economic Research - 2021

Algorithms (in some form) are already widely used in the criminal justice system. We draw lessons from this experience for what is to come for the rest of society as machine learning diffuses. We find economists and other social scientists have a key role to play in shaping the impact of...

Persistent link: https://www.econbiz.de/10012629487

Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance

Aiken, Emily; Bellue, Suzanne; Karlan, Dean; Udry, … - National Bureau of Economic Research - 2021

The COVID-19 pandemic has devastated many low- and middle-income countries (LMICs), causing widespread food insecurity and a sharp decline in living standards. In response to this crisis, governments and humanitarian organizations worldwide have mobilized targeted social assistance programs....

Persistent link: https://www.econbiz.de/10012599360

Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs

Huang, Yue; Hsiang, Solomon; González-Navarro, Marco - National Bureau of Economic Research - 2021

The rigorous evaluation of anti-poverty programs is key to the fight against global poverty. Traditional approaches rely heavily on repeated in-person field surveys to measure program effects. However, this is costly, time-consuming, and often logistically challenging. Here we provide the first...

Persistent link: https://www.econbiz.de/10012599395

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