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Author:Ozkan, Serdar 

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

Working Paper
Preventive vs. Curative Medicine: A Macroeconomic Analysis of Health Care over the Life Cycle

This paper studies differences in health care usage and health outcomes between low- and high-income individuals. Using data from the Medical Expenditure Panel Survey (MEPS) I find that early in life the rich spend significantly more on health care, whereas from middle to very old age medical spending of the poor surpasses that of the rich by 25%. In addition, low-income individuals are less likely to incur any medical expenditures in a given year, yet, when they do, their expenses are more likely to be extreme. To account for these facts, I develop and estimate a life-cycle model of two ...
Working Papers , Paper 2023-025

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

Working Paper
Scalable vs. Productive Technologies

Do larger firms have more productive technologies or are their technologies more scalable, or both? We use administrative data on Canadian and US firms to estimate flexible nonparametric production functions. Our estimation results in a joint distribution of output elasticities of capital, labor, and intermediate inputs---therefore, returns to scale (RTS)---along with total factor productivity (TFP). We find significant heterogeneity in both RTS and TFP across firms. Larger firms operate technologies with higher RTS, both across and within industries. Higher RTS for large firms are entirely ...
Working Papers , Paper 2024-019

Working Paper
Consumption Dynamics and Welfare Under Non-Gaussian Earnings Risk

CORRECT ORDER OF AUTHORS: Fatih Guvenen, Serdar Ozkan, and Rocio Madera. The order of coauthors has been assigned randomly using AEA’s Author Randomization Tool. Recent empirical studies document that the distribution of earnings changes displays substantial deviations from lognormality: in particular, earnings changes are negatively skewed with extremely high kurtosis (long and thick tails), and these non-Gaussian features vary substantially both over the life cycle and with the earnings level of individuals. Furthermore, earnings changes display nonlinear (asymmetric) mean reversion. In ...
Working Papers , Paper 2024-007

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
Scalable versus Productive Technologies

CORRECT ORDER OF AUTHORS: Hubmer, Chan, Ozkan, Salgado, Hong. Are larger firms more productive, more scalable, or both? We use firm-level panel data from thirteen countries and employ a broad set of methods to estimate factor elasticities---capturing returns to scale (RTS)---and total factor productivity (TFP). We find substantial RTS heterogeneity within industries, with larger firms exhibiting higher RTS driven by greater intermediate input elasticities. TFP, by contrast, rises with firm size only up to the top decile before declining. Incorporating RTS heterogeneity into a standard model ...
Working Papers , Paper 2024-019

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

Working Paper
Anatomy of Lifetime Earnings Inequality: Heterogeneity in Job Ladder Risk vs. Human Capital

We study the determinants of lifetime earnings (LE) inequality in the U.S. by focusing on job ladder dynamics and on-the-job learning as sources of wage growth. Using administrative data, we document that i) lower LE workers change jobs more often, which is mainly driven by nonemployment; ii) average annual earnings growth for job stayers is similar, around 2% in the bottom two-thirds of the LE distribution, whereas for job switchers it rises with LE; iii) top LE workers enjoy around 10% average earnings growth regardless of job switching. By targeting these facts, we estimate a structural ...
Working Papers , Paper 2022-002

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