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Jungmo Yoon

Hanyang University · 数学

研究室紹介

Professor Jungmo Yoon's research lab specializes in econometric methods and empirical industrial organization, with a strong focus on developing robust statistical techniques for panel data and quantile regression. The lab investigates the performance and governance of business groups—particularly Korean chaebols—through the lens of productivity, technological capabilities, and investment efficiency, especially in the context of economic crises and institutional change. It also contributes to legal and institutional economics by analyzing the impact of litigation rules, such as the English rule, on settlement outcomes and legal incentives. The lab's work bridges theoretical econometrics with real-world policy and firm-level performance analysis.

quantile regressionheteroscedasticity and autocorrelationbusiness groupschaebolsuniform inference

Research Overview

Papers
36
Total Citations
347
Papers (5y)
10
Primary Field
数学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
10total
2021
2022
2023
2024
2025
Citations per year (5y)
8total
20212022202320242025

Selected Papers

15
1
Article|102 citations·2009
Parametric links for binary choice models: A Fisherian–Bayesian colloquy
Roger Koenker, Jungmo Yoon
SJR Q1Journal of Econometrics
Statistics and ProbabilityMathematics
2
Article|76 citations·2014
Nonparametric estimation and inference on conditional quantile processes
Zhongjun Qu, Jungmo Yoon
SJR Q1Journal of Econometrics
Statistics and ProbabilityMathematics
3
Article|61 citations·2008
Changing Performance of Business Groups over Two Decades: Technological Capabilities and Investment Inefficiency in Korean Chaebols
Kineung Choo, Keun Lee, Keunkwan Ryu, Jungmo Yoon
SJR Q1Economic Development and Cultural Change

This article differentiates itself from the large volume of existing literature on business groups, such as Korean chaebols, in several aspects. First, it uses productive efficiency rather than financial efficiency as a performance measure. Second, it defines chaebols in three alternative ways and checks whether the results are robust. Third and most important, it explains the sources of the post‐crisis change in the performance of Korean chaebols in terms of technological capabilities and inves

AccountingBusiness, Management and Accounting
4
Preprint|36 citations·2004
Corporate Governance and Long Term Performance of the Business Groups: The Case of Chaebols in Korea
Keun Lee, Keunkwan Ryu, Jungmo Yoon
RePEc: Research Papers in Economics

The existence of the business groups has been associated with market failure in emerging economies, and thus their performance has been argued and found to have declined with development of market institutions surrounding them. This paper takes up this issue of long-term performance of the business groups but argues that it has also to do with the internal problems, such as changes in the ownership and governance structure. It finds, with the Korea data and new method and theoretical grounds, th

AccountingBusiness, Management and Accounting
5
Article|16 citations·2010
Quantile Regression Analysis with Missing Response, with Applications to Inequality Measures and Data Combination
Jungmo Yoon
SSRN Electronic JournalOA
Statistics and ProbabilityMathematics
6
Article|13 citations·2017
Uniform Inference on Quantile Effects under Sharp Regression Discontinuity Designs
Zhongjun Qu, Jungmo Yoon
SJR Q1Journal of Business and Economic StatisticsOA

This study develops methods for conducting uniform inference on quantile treatment effects for sharp regression discontinuity designs. We develop a score test for the treatment significance hypothesis and Wald-type tests for the hypotheses related to treatment significance, homogeneity, and unambiguity. The bias from the nonparametric estimation is studied in detail. In particular, we show that under some conditions, the asymptotic distribution of the score test is unaffected by the bias, withou

Statistics and ProbabilityMathematics
7
Article|13 citations·2020
Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects
Jungmo Yoon, Antonio F. Galvao
SJR Q1Quantitative EconomicsOA

This study develops cluster robust inference methods for panel quantile regression (QR) models with individual fixed effects, allowing for temporal correlation within each individual. The conventional QR standard errors can seriously underestimate the uncertainty of estimators and, therefore, overestimate the significance of effects, when outcomes are serially correlated. Thus, we propose a clustered covariance matrix (CCM) estimator to solve this problem. The CCM estimator is an extension of th

Economics and EconometricsEconomics, Econometrics and Finance
8
Article|7 citations·2016
Estimating the Effects of the English Rule on Litigation Outcomes
Eric Helland, Jungmo Yoon
SJR Q1The Review of Economics and Statistics

The English rule prescribes that the loser of a lawsuit pays the winner's litigation costs. Previous research on the English rule finds that plaintiffs win more often at trial, receive higher awards, and receive larger settlements. Theory predicts that the English rule discourages settlement by raising the threshold payment necessary for settlement. In this paper, we reexamine the Florida experiment with the English rule by placing bounds on the selection effects. We find that the mean and media

Economics and EconometricsEconomics, Econometrics and Finance
9
Article|7 citations·2023
HAC Covariance Matrix Estimation in Quantile Regression
Antonio F. Galvao, Jungmo Yoon
SJR Q1Journal of the American Statistical Association

This study considers an estimator for the asymptotic variance-covariance matrix in time-series quantile regression models which is robust to the presence of heteroscedasticity and autocorrelation. When regression errors are serially correlated, the conventional quantile regression standard errors are invalid. The proposed solution is a quantile analogue of the Newey-West robust standard errors. We establish the asymptotic properties of the heteroscedasticity and autocorrelation consistent (HAC)

Statistics and ProbabilityMathematics
10
Article|6 citations·2016
Robust Inference for Panel Quantile Regression Models with Individual Fixed Effects and Serial Correlation
Jungmo Yoon, Antonio F. Galvao
SSRN Electronic JournalOA
Economics and EconometricsEconomics, Econometrics and Finance
11
Preprint|4 citations·2011
Nonparametric Estimation and Inference on Conditional Quantile Processes
Zhongjun Qu, Jungmo Yoon
RePEc: Research Papers in Economics

This paper presents estimation methods and asymptotic theory for the analysis of a nonparametrically specified conditional quantile process. Two estimators based on local linear regressions are proposed. The first estimator applies simple inequality constraints while the second uses rearrangement to maintain quantile monotonicity. The bandwidth parameter is allowed to vary across quantiles to adapt to data sparsity. For inference, the paper first establishes a uniform Bahadur representation and

Statistics and ProbabilityMathematics
12
Article|3 citations·2012
What Do Kernel Density Estimators Optimize?
Roger Koenker, Ivan Mizera, Jungmo Yoon
SJR Q2Journal of Econometric Methods

Abstract Some linkages between kernel and penalty methods of density estimation are explored. It is recalled that classical Gaussian kernel density estimation can be viewed as the solution of the heat equation with initial condition given by data. We then observe that there is a direct relationship between the kernel method and a particular penalty method of density estimation. For this penalty method, solutions can be characterized as a weighted average of Gaussian kernel density estimates, the

Statistics, Probability and UncertaintyDecision Sciences
13
Article|1 citations·2021
HAC Covariance Matrix Estimation in Quantile Regression
Antonio F. Galvao, Jungmo Yoon
SSRN Electronic JournalOA
Computer Vision and Pattern RecognitionComputer Science
14
dataset|1 citations·2016
Replication Data for: Estimating the Effects of the English Rule on Litigation Outcomes
Eric Helland, Jungmo Yoon
Harvard DataverseOA

Replication Data for: Estimating the Effects of the English Rule on Litigation Outcomes

Economics and EconometricsEconomics, Econometrics and Finance
15
book|1 citations·2015
Estimating Effects of English Rule on Litigation Outcomes
Eric Helland, Jungmo Yoon
RAND Corporation eBooks

The English rule for fee allocation prescribes that the loser of a lawsuit pay the winner’s litigation costs. Economic theory predicts that the English rule discourages settlement, increases litigation costs and encourages meritorious claims. The principal empirical work on the impact of the English rule by Hughes and Snyder (1990, 1995) relies on data from Florida’s use of the Rule for medical malpractice claims between 1980 and 1985. The principal findings are that plaintiffs win more often at

Economics and EconometricsEconomics, Econometrics and Finance

Research Areas

Statistics and ProbabilityEconomics and EconometricsAccountingComputer Vision and Pattern RecognitionPharmacyManagement Science and Operations Research

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