If you're registered for the ASSA meeting, there's a great presentation about AI and Labor starting now:

"Using Language Models to Understand Wage Premia"
Sarah Bana, Stanford Digital Economy Lab

Link:
eventpilot.us/appinfo.php?pa…
#ASSA2022

@SarahHBana @DigEconLab #EconTwitter
@SarahHBana @DigEconLab Using Language Models to Understand Wage Premia

Abstract
Does the text content of a job posting predict the salary offered for the role? There is ample evidence that even within an occupation, a job's skills and tasks affect the job's salary.

1/n
@SarahHBana @DigEconLab Capturing this fine-grained information from postings can provide real-time insights on prices of various job characteristics. Using a new dataset from Greenwich.HR with salary information linked to posting data from Burning Glass Technologies, ...
2/n
@SarahHBana @DigEconLab ... I apply natural language processing (NLP) techniques to build a model that predicts salaries from job posting text. This follows the rich tradition in the economics literature of estimating wage premia for various job characteristics by applying hedonic regression....

3/n
@SarahHBana @DigEconLab ...My model explains 87 percent of the variation in salaries, 26 percent (18 percentage points) over a model with occupation by location fixed effects. I apply this model to the question of online certifications by creating counterfactual postings...

4/n
@SarahHBana @DigEconLab ...and estimating the salary differential. I find that there is substantial variation in the predicted value of various certifications. As firms and workers make strategic decisions about their human capital, this information is a crucial input.

5/5

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More from @erikbryn

7 Jan
Here's a preview our our results
Here's the talk outline
Read 7 tweets
7 Jan
Next up at the ASSA meetings, my paper with Lindsey Raymond:

Augmented Intelligence: Effects of AI on Productivity and Work Practices

Link:
eventpilot.us/appinfo.php?pa
#ASSA2022

Please join us!

@LindseyRRaymond @DigEconLab #EconTwitter
@LindseyRRaymond @DigEconLab Abstract
How does technology affect the organization and dissemination of knowledge in production? Production knowledge is often tacit and embodied in individual workers and managers,...

1/n
@LindseyRRaymond @DigEconLab ...and therefore technology that changes the ability to encode and disseminate knowledge, such as artificial intelligence, might affect productivity and organization of production...

2/n
Read 9 tweets
23 Oct 21
On November 9-10, @StanfordHAI will host a major conference on Policy and AI. It will feature Four Radical Proposals for Better Society.

Here's an interview with @DanHo1 and me discussing the conference:

hai.stanford.edu/news/four-radi…
@StanfordHAI @DanHo1 The Four Radical Proposals we will feature are:

1. Former presidential candidate Andrew Yang: Universal Basic Income to Offset Job Losses Due to Automation

hai.stanford.edu/news/radical-p…
@StanfordHAI @DanHo1 2. Divya Siddarth, Microsoft Associate Political Economist and Social Technologist: Data Cooperatives Could Give Us More Power Over Our Data

hai.stanford.edu/news/radical-p…
Read 7 tweets
4 Jan 21
Our new @nberpubs paper is out:

"Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey".

We report on the adoption of AI, cloud computing, robotics and the digitization of business information at 850,000 firms.
nber.org/papers/w28290
@nberpubs We find that digitization is quite widespread, as is some use of cloud computing.

In contrast, advanced technology adoption is rare and generally skewed towards larger and older firms.
@nberpubs Adoption patterns are consistent with a hierarchy of increasing technological sophistication, in which most firms that adopt AI or other advanced business technologies also use the other, more widely diffused technologies
Read 5 tweets
2 Mar 19
A thread about my new @nberpubs paper with @sethbenzell:

Digital innovation is delivering remarkable progress.

Yet returns to ordinary labor (Median wages) and ordinary capital (interest rates) are both historically low. 1/n
@nberpubs One research literature addresses low median wages and falling labor share.

A completely different literature seeks to explain low interest rates and lack of capital investment.

We explain both of these sets facts with one model.

2/n
@nberpubs Our story:

Digital technologies augment both labor and capital by creating digital versions of them.

But rather than translating directly into growth, K and L both need a third factor: G.

3/n
Read 7 tweets

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