Skip to main content

한치록 교수

Chirok Han

고려대학교 경제학과 · 경제학

연구실 소개

한치록 교수의 연구실은 동적 패널 데이터 모델, 일반화된 모멘트 방법(GMM), 그리고 고차원적 모멘트 조건을 고려한 추정 이론을 중심으로 한 경제计量 연구를 수행하고 있습니다. 특히, 자료의 수가 증가함에 따라 모멘트 조건의 수가 늘어나는 상황에서의 일관성과 추정 성능을 분석하며, 약한 기저 조건이나 단위근 문제 등 복잡한 실증 문제에 대응하는 신뢰할 수 있는 추정 방법을 개발하고 있습니다. 또한 한국의 경제 구조 변화, 특히 인구 고령화가 현재적적 surplus에 미치는 영향에 대한 분석을 통해 장기적 경제 정책의 근거를 마련하고자 합니다.

동적 패널 모델GMM 추정모멘트 조건 증가현재적적 surplus인구 고령화

연구 현황

논문 수
82
총 인용 수
915
최근 5년 논문
18
주요 분야
경제학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
18총합
2019
2020
2022
2023
2024
5개년 연도별 피인용 수
23총합
20192020202220232024

주요 논문

15
1
논문|인용수 182·2005
GMM with Many Moment Conditions
Chirok Han, Peter C.B. Phillips
SJR Q1Econometrica

This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimators when the number of moment conditions is allowed to increase with the sample size and the moment conditions may be weak. Examples in which these asymptotics are relevant include instrumental variable (IV) estimation with many (possibly weak or uninformed) instruments and some panel data models that cover moderate time spans and have correspondingly large numbers of instruments. Under certain reg

Economics and EconometricsEconomics, Econometrics and Finance
2
논문|인용수 100·2012
Asymptotic distribution of factor augmented estimators for panel regression
Ryan Greenaway‐McGrevy, Chirok Han, Donggyu Sul
SJR Q1Journal of Econometrics
Economics and EconometricsEconomics, Econometrics and Finance
3
논문|인용수 76·2013
X-DIFFERENCING AND DYNAMIC PANEL MODEL ESTIMATION
Chirok Han, Peter C.B. Phillips, Donggyu Sul
SJR Q1Econometric Theory

This paper introduces a new estimation method for dynamic panel models with fixed effects and AR( p ) idiosyncratic errors. The proposed estimator uses a novel form of systematic differencing, called X-differencing, that eliminates fixed effects and retains information and signal strength in cases where there is a root at or near unity. The resulting “panel fully aggregated” estimator (PFAE) is obtained by pooled least squares on the system of X-differenced equations. The method is simple to imp

Economics and EconometricsEconomics, Econometrics and Finance
4
논문|인용수 51·2008
Detecting invalid instruments using L1-GMM
Chirok Han
SJR Q2Economics Letters
Civil and Structural EngineeringEngineering
5
논문|인용수 46·2004
Estimation of a panel data model with parametric temporal variation in individual effects
Chirok Han, Luis Orea, Peter Schmidt
SJR Q1Journal of EconometricsOA
Economics and EconometricsEconomics, Econometrics and Finance
6
논문|인용수 45·2009
GMM ESTIMATION FOR DYNAMIC PANELS WITH FIXED EFFECTS AND STRONG INSTRUMENTS AT UNITY
Chirok Han, Peter C.B. Phillips
SJR Q1Econometric TheoryOA

This paper develops new estimation and inference procedures for dynamic panel data models with fixed effects and incidental trends. A simple consistent GMM estimation method is proposed that avoids the weak moment condition problem that is known to affect conventional GMM estimation when the autoregressive coefficient ( ρ ) is near unity. In both panel and time series cases, the estimator has standard Gaussian asymptotics for all values of ρ ∈ (−1, 1] irrespective of how the composite cross-sect

Economics and EconometricsEconomics, Econometrics and Finance
7
논문|인용수 42·2015
Lag length selection in panel autoregression
Chirok Han, Peter C.B. Phillips, Donggyu Sul
SJR Q1Econometric Reviews

Model selection by BIC is well known to be inconsistent in the presence of incidental parameters. This paper shows that, somewhat surprisingly, even without fixed effects in dynamic panels BIC is inconsistent and overestimates the true lag length with considerable probability. The reason for the inconsistency is explained and the probability of overestimation is found to be 50% asymptotically. Three alternative consistent lag selection methods are considered. Two of these modify BIC and the thir

Economics and EconometricsEconomics, Econometrics and Finance
8
논문|인용수 37·2013
First difference maximum likelihood and dynamic panel estimation
Chirok Han, Peter C.B. Phillips
SJR Q1Journal of Econometrics
Economics and EconometricsEconomics, Econometrics and Finance
9
논문|인용수 22·2001
The asymptotic distribution of the instrumental variable estimators when the instruments are not correlated with the regressors
Chirok Han, Peter Schmidt
SJR Q2Economics Letters
General Economics, Econometrics and FinanceEconomics, Econometrics and Finance
10
논문|인용수 22·2018
What Explains Current Account Surplus in Korea?
Chirok Han, Kwanho Shin
SJR Q1Asian Economic Papers

Since the currency crisis in 1998, Korea has experienced continuous current account surpluses. Recently, the current account surplus increased more rapidly—amounting to 7.7 percent of GDP in 2015. In this paper, we investigate the underlying reasons for the widening of Korea's current account surpluses. We find that the upward trend in Korea's current account surpluses is largely explained by its demographical changes. Other economic variables are only helpful when explaining short run fluctuati

AccountingBusiness, Management and Accounting
11
논문|인용수 18·2010
X-Differencing and Dynamic Panel Model Estimation
Chirok Han, Peter C.B. Phillips, Donggyu Sul
SSRN Electronic JournalOA
Economics and EconometricsEconomics, Econometrics and Finance
12
논문|인용수 18·2014
The role of constant instruments in dynamic panel estimation
Chirok Han, Hyoungjong Kim
SJR Q2Economics Letters
Economics and EconometricsEconomics, Econometrics and Finance
13
논문|인용수 14·2011
Network effect of transportation infrastructure: a dynamic panel evidence
Kyoung-Youn Na, Chirok Han, Chang-Ho Yoon
SJR Q1The Annals of Regional Science
Economics and EconometricsEconomics, Econometrics and Finance
14
논문|인용수 14·2010
Uniform Asymptotic Normality in Stationary and Unit Root Autoregression
Chirok Han, Peter C.B. Phillips, Donggyu Sul
SSRN Electronic JournalOA
Applied MathematicsMathematics
15
논문|인용수 12·2005
GMM with Many Moment Conditions
Chirok Han, Peter C.B. Phillips
SSRN Electronic JournalOA

This paper provides a first order asymptotic theory for generalized method of moments (GMM) estimators when the number of moment conditions is allowed to increase with the sample size and the moment conditions may be weak. Examples in which these asymptotics are relevant include instrumental variable (IV) estimation with many (possibly weak or uninformed) instruments and some panel data models covering moderate time spans and with correspondingly large numbers of instruments. Under certain regul

Economics and EconometricsEconomics, Econometrics and Finance

대표 연구 분야

Economics and EconometricsStatistics and ProbabilityFinanceGeneral Economics, Econometrics and FinanceInformation SystemsCivil and Structural Engineering

한치록 교수의 연구를 Nubint에서 더 깊이 살펴보세요

이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.