Trends in Earnings Volatility for U.S. Men:
1979-2017 (Job Market Paper)
- Presented at 2021 UT Dallas Brown Bag Seminar, 2022 MEA Annual
Meeting, 2022 KAEA Job Market Conference, and 2022 SEA Annual Meeting.
Scheduled to present at 2023 AEA/ASSA Annual Meeting
Abstract: This article explores how U.S. male income has evolved, ranging from 1979 to 2017. The research aims to decompose the income volatility into the permanent component − the long-term average − and transitory component − the period-specific deviation from the average − since the two have different implications in practice. After constructing a pseudo panel using the Current Population Survey, we estimate the structure of income volatility using an extended semiparametric model proposed by Moffitt & Zhang (2018). The transitory variance fluctuated through the mid-1990s and declined until 2002. Since then, the transitory variance increased through 2013 and almost recovered to the level in the mid-1990s. Furthermore, we find a countercyclical pattern of gross volatility and transitory variance around the Great Recession.
[Paper (Sep 2022)] [Slides (Nov 2022)]
Income Convergence and Regional Labor Markets in the
U.S.
- Presented at 2022 Austin College Seminar
Abstract: The decline of the U.S. income convergence rate across states has been widely accepted in the context of beta convergence or sigma convergence. This article revisits the question of income convergence by applying a relative convergence test, which again demonstrates that U.S. regional incomes do not converge. Alternatively, income convergence has formed among four subgroups ‒ called clubs ‒ within which states have specific characteristics in common. The ordered logit regression analysis suggests that changes in labor demand change and public school spending contribute to the formation and composition of convergence clubs.
Evaluating Estimators of Tax Migration Responses
Abstract: The present paper uses Monte Carlo simulation techniques to
evaluate estimators of existing literature that studies migration
responses to changes in income tax differentials across countries or
U.S. states. We first estimate U.S. income dynamics based on the
assumption that unobserved income consists of a fixed
individual-specific component and a period-specific idiosyncratic random
component in order to generate an income variable. Then, the data set
creates an interstate migration variable such that workers leave a
high-tax state and move to a low-tax state. After the data generating
process, we analyze the behavior of two methods widely used in the
migration literature: logit and difference-and-difference regressions.
Bush, R., and Choi, S. (2019, November). Forecasting Ethereum STORJ
token prices: Comparative analyses of applied bitcoin models. In
2019 International Conference on Data Mining Workshops (ICDMW)
(pp. 216-223). IEEE.
Does Gig Economy Mitigate Rental Evictions? (with J. Kwak and P. Lee)
The Effect of Opportunity Zones on Mortgage Market
Research Assitant
University of Texas at Dallas
Explored course-taking patterns in Texas high school and academic
performance in Texas college between Division I athletes and others
(with Dr. Beron and Dr. O’Brien)