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Boston University School of Law

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Automation

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Automatic Reaction - What Happens To Workers At Firms That Automate?, James Bessen, Maarten Goos, Anna Salomons, Wiljan Van Den Berge Feb 2023

Automatic Reaction - What Happens To Workers At Firms That Automate?, James Bessen, Maarten Goos, Anna Salomons, Wiljan Van Den Berge

Faculty Scholarship

We provide the first estimate of the impacts of automation on individual workers by combining Dutch micro-data with a direct measure of automation expenditures covering firms in all private non-financial industries over 2000-2016. Using an event study differences-indifferences design, we find that automation at the firm increases the probability of workers separating from their employers and decreases days worked, leading to a 5-year cumulative wage income loss of about 8% of one year’s earnings for incumbent workers. We find little change in wage rates. Further, lost wage earnings are only partially offset by various benefits systems and are disproportionately borne …


The Remainder Effect: How Automation Complements Labor Quality, James Bessen, Erich Denk, Chen Meng Feb 2022

The Remainder Effect: How Automation Complements Labor Quality, James Bessen, Erich Denk, Chen Meng

Faculty Scholarship

This paper argues that automation both complements and replaces workers. Extending the Acemoglu-Restrepo model of automation to consider labor quality, we obtain a Remainder Effect: while automation displaces labor on some tasks, it raises the returns to skill on remaining tasks across skill groups. This effect increases between-firm pay inequality while labor displacement affects within-firm inequality. Using job ad data, we find firm adoption of information technologies leads to both greater demand for diverse skills and higher pay across skill groups. This accounts for most of the sorting of skills to high paying firms that is central to rising inequality.


Automation And Jobs: When Technology Boosts Employment, James Bessen Oct 2019

Automation And Jobs: When Technology Boosts Employment, James Bessen

Faculty Scholarship

Will new technologies cause industries to shed jobs, requiring novel policies to address mass unemployment? Sometimes productivity-enhancing technology increases industry employment instead. In manufacturing, jobs grew along with productivity for a century or more; only later did productivity gains bring declining employment. What changed? The elasticity of demand. Using data over two centuries for US textile, steel and auto industries, this paper shows that automation initially spurred job growth because demand was highly elastic. But demand later became satiated, leading to job losses. A simple model explains why this pattern might be common, suggesting that today's technologies may cause some …


Ai And Jobs: The Role Of Demand, James Bessen Nov 2017

Ai And Jobs: The Role Of Demand, James Bessen

Faculty Scholarship

In manufacturing, technology has sharply reduced jobs in recent decades. But before that, for over a century, employment grew, even in industries experiencing rapid technological change. What changed? Demand was highly elastic at first and then became inelastic. The effect of artificial intelligence (AI) on jobs will similarly depend critically on the nature of demand. This paper presents a simple model of demand that accurately predicts the rise and fall of employment in the textile, steel, and automotive industries. This model provides a useful framework for exploring how AI is likely to affect jobs over the next 10 or 20 …


How Computer Automation Affects Occupations: Technology, Jobs, And Skills, James Bessen Oct 2016

How Computer Automation Affects Occupations: Technology, Jobs, And Skills, James Bessen

Faculty Scholarship

This paper investigates basic relationships between technology and occupations. Building a general occupational model, I look at detailed occupations since 1980 to explore whether computers are related to job losses or other sources of wage inequality. Occupations that use computers grow faster, not slower. This is true even for highly routine and mid-wage occupations. Estimates reject computers as a source of significant net technological unemployment or job polarization. But computerized occupations substitute for other occupations, shifting employment and requiring new skills. Because new skills are costly to learn, computer use is associated with substantially greater within-occupation wage inequality.