Male Earnings Volatility in LEHD before, during, and after the Great Recession

08/01/2020
by   Kevin L. McKinney, et al.
0

This paper is part of a coordinated collection of papers on prime-age male earnings volatility. Each paper produces a similar set of statistics for the same reference population using a different primary data source. Our primary data source is the Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure files. Using LEHD data from 1998 to 2016, we create a well-defined population frame to facilitate accurate estimation of temporal changes comparable to designed longitudinal samples of people. We show that earnings volatility, excluding increases during recessions, has declined over the analysis period, a finding robust to various sensitivity analyses. Although we find volatility is declining, the effect is not homogeneous, particularly for workers with tenuous labor force attachment for whom volatility is increasing. These "not stable" workers have earnings volatility approximately 30 times larger than stable workers, but more important for earnings volatility trends we observe a large increase in the share of stable employment from 60 in 1998 to 67 in overall earnings volatility. To further emphasize the importance of not stable and/or low earning workers we also conduct comparisons with the PSID and show how changes over time in the share of workers at the bottom tail of the cross-sectional earnings distributions can produce either declining or increasing earnings volatility trends.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/23/2022

Performance evaluation of volatility estimation methods for Exabel

Quantifying both historic and future volatility is key in portfolio risk...
research
12/10/2021

U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth

This paper is part of the Global Income Dynamics Project cross-country c...
research
07/26/2021

Robustness and sensitivity analyses for rough Volterra stochastic volatility models

In this paper we perform robustness and sensitivity analysis of several ...
research
03/19/2018

Exploring the predictability of range-based volatility estimators using RNNs

We investigate the predictability of several range-based stock volatilit...
research
10/09/2020

The relationship between driving volatility in time to collision and crash injury severity in a naturalistic driving environment

As a key indicator of unsafe driving, driving volatility characterizes t...
research
01/03/2021

Estimation of Tempered Stable Lévy Models of Infinite Variation

In this paper we propose a new method for the estimation of a semiparame...
research
07/20/2023

The forking effect

This study introduces the concept of the forking effect in the cryptocur...

Please sign up or login with your details

Forgot password? Click here to reset