Jung-Yoon Lee
Sungkyunkwan University · Engineering
About the Lab
Professor Jung-Yoon Lee's research lab specializes in econometric theory and nonparametric estimation, with a focus on developing asymptotic frameworks for cross-sectional, panel, spatial, and time series data under general dependence and heterogeneity conditions. The lab investigates semiparametric and nonparametric regression models, emphasizing robust inference under weak moment conditions and various forms of heteroscedasticity. Research also extends to statistical properties such as convergence rates and asymptotic normality, with applications in economic and financial modeling.
Research Overview
Research Output Trend
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Selected Papers
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An asymptotic theory is developed for series estimation of nonparametric and semiparametric regression models for cross-sectional data under conditions on disturbances that allow for forms of cross-sectional dependence and heterogeneity, including conditional and unconditional heteroscedasticity, along with conditions on regressors that allow dependence and do not require existence of a density. The conditions aim to accommodate various settings plausible in economic applications, and can apply
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The effects of reinforcing bar diameter and concrete compressive strength on the bond behaviour of glass fibre reinforced polymer (GFRP) bars were investigated. The primary experimental parameters were the type of reinforcing bar (steel, sand-coated GFRP and spiral-wrapped GFRP), the concrete compressive strength (20, 40 and 60 MPa) and the bar diameter (19 and 25 mm). The experimental results revealed that as bar diameter increases, the bond strength of the GFRP bars decreases at a greater rate
Stress-strain relationship for a steel bar embedded in concrete differs somewhat to that of a bare steel bar because the surrounding concrete is bonded to the bar. This behavior is known as tension stiffening. This paper presents the results of an analytical and experimental study on the performance of reinforced concrete beams subjected to pure torsion. In particular, the effect of the tension stiffening was discussed and included in the analytical study. Nine RC beams having different torsiona
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Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specific components and allows also for cross-sectional and temporal dependence and conditional heteroscedasticity. A simple nonparametric estimate is shown to be dominated by a GLS-type one. Asymptotically optimal bandwidth choices are justified for both estimates. Feasible optimal bandwidths, and feasible optimal regression estimates, are also as
This paper proposes a solution methodology for the application of the fixed-angle theory to predict the shear response of reinforced concrete (RC) beams subjected to the combined actions of shear and flexure. The proposed solution, based on the fixed-angle theory, takes into account the effect of flexural moment on the shear strength of RC beams and calculates the concrete constitutive relationships by transforming the concrete stresses and strains from the principal direction of concrete stress
Primary national codes and standards for reinforced concrete (RC) members and structures specify a limit value of stirrup yield strength. The salient reason for this restriction is to control diagonal crack widths, which lead to shear tension failure. The influence of a high yield strength of stirrups on the failure mode of such members is thus of great concern. To investigate this issue, 12 RC beam specimens incorporating stirrups with high yield strength were tested. The test variables employe
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Research Areas
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