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Author:Ozkan, Serdar 

Discussion Paper
Job Ladders and Careers

Workers in the United States experience vast differences in lifetime earnings. Individuals in the 90th percentile earn around seven times more than those in the 10th percentile, and those in the top percentile earn almost twenty times more. A large share of these differences arise over the course of people’s careers. What accounts for these vastly different outcomes in the labor market? Why do some individuals experience much steeper earnings profiles than others? Previous research has shown that the “job ladder”—in which workers obtain large pay increases when they switch to better ...
Liberty Street Economics , Paper 20191008

AI Hype or Reality? Shifts in Corporate Investment after ChatGPT

An analysis of earnings calls shows a sharp rise in AI-related chatter among U.S. corporate executives. But this increase doesn’t appear to be matched by a similar rise in capital and R&D spending.
On the Economy

Does Worker Scarcity Spur Investment, Automation and Productivity? Evidence from Earnings Calls

An analysis suggests labor issues like higher wages and hiring difficulties have prompted some firms to invest in automation, leading to productivity growth.
On the Economy

Silver Spoon or Self-Made? Exploring 23 Years of Wealth Mobility

An analysis of the changes in wealth distribution as individuals age from their late 20s to early 50s reveals a substantial degree of persistence at the top 1%.
On the Economy

Unlike Others, the Top Earners See Strong Pay Growth Beyond Age 35

An analysis shows that the top 2% of male earners saw strong pay growth after 35. For the bottom 2% and the median worker, the pace declined or plateaued.
On the Economy

Working Paper
The nature of countercyclical income risk

This paper studies the nature of business cycle variation in individual earnings risk using a dataset from the U.S. Social Security Administration, which contains (uncapped) earnings histories for millions of anonymous individuals. The base sample is a nationally representative panel containing 10 percent of all U.S. males from 1978 to 2010. We use these data to decompose individual earnings growth during recessions into "between-group" and "within-group" components. We begin with the behavior of within-group shocks. Contrary to past research, we do not find the variance of idiosyncratic ...
Finance and Economics Discussion Series , Paper 2013-25

AI Optimism and Uncertainty: What Can Earnings Calls Tell Us Post-ChatGPT?

An analysis of earnings calls shows that America’s corporate leaders are talking much more about AI. It also reveals an increase in perceived risk in this new technology.
On the Economy

Can Earnings Calls Be Used to Gauge Labor Market Tightness?

An index that uses textual analysis of earnings calls to track labor issues appears to be highly correlated to one measure of labor market tightness.
On the Economy

How Job Risk and Human Capital Shape Male Lifetime Earnings Disparities

Higher unemployment risk and fewer outside job offers appear to be key reasons why some men end up at the bottom of the lifetime earnings distribution for male workers.
On the Economy

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