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Hong Lee

Biographic Data

ID3862109
NAMEHong Lee
GIVEN NAMESHong
FAMILY NAMELee
SIGNATURELEE H
AFFILIATIONSWright State University
ORCID0000-0002-3121-7080
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS18
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Appraisal quality and loan characteristics

    Open Access•Hong Lee, Joseph R Mason•ARTICLE•Empirical Economics•2025

    Leading digits in mortgage collateral value estimates are expected to approximate a logarithmic distribution, consistent with the Newcomb–Benford Law (NBL), when such values are modeled as geometric sequences or random samples drawn from heterogeneous price distributions. Using representative US datasets, we document substantial discrepancies between the observed and expected distributions of leading digits in appraisal values. The magnitude of t…

  • Free lunch for all? The impact of universal school lunch on student misbehavior

    Open Access•Duha T Altindag, Deokrye Baek et al.•ARTICLE•Economics of Education Review•2020

  • Hidden heritability due to heterogeneity across seven populations

    Open Access•Felix C Tropf, Hong Lee et al.•ARTICLE•Nature Human Behaviour•2017•Cited by: 18•References: 41

    Meta-analyses of genome-wide association studies, which dominate genetic discovery, are based on data from diverse historical time periods and populations. Genetic scores derived from genome-wide association studies explain only a fraction of the heritability estimates obtained from whole-genome studies on single populations, known as the ‘hidden heritability’ puzzle. Using seven sampling populations (n = 35,062), we test whether hidden heritabil…

  • Hidden heritability due to heterogeneity across seven populations

    Open Access•Felix C Tropf, Hong Lee et al.•ARTICLE•Nature Human Behaviour•2017•Cited by: 18•References: 41

    Meta-analyses of genome-wide association studies, which dominate genetic discovery, are based on data from diverse historical time periods and populations. Genetic scores derived from genome-wide association studies explain only a fraction of the heritability estimates obtained from whole-genome studies on single populations, known as the ‘hidden heritability’ puzzle. Using seven sampling populations (n = 35,062), we test whether hidden heritabil…

  • Hidden heritability due to heterogeneity across seven populations

    Open Access•Felix C Tropf, Hong Lee et al.•ARTICLE•Nature Human Behaviour•2017•Cited by: 18•References: 41

    Meta-analyses of genome-wide association studies, which dominate genetic discovery, are based on data from diverse historical time periods and populations. Genetic scores derived from genome-wide association studies explain only a fraction of the heritability estimates obtained from whole-genome studies on single populations, known as the ‘hidden heritability’ puzzle. Using seven sampling populations (n = 35,062), we test whether hidden heritabil…

  • Free lunch for all? The impact of universal school lunch on student misbehavior

    Open Access•Duha T Altindag, Deokrye Baek et al.•ARTICLE•Economics of Education Review•2020

  • Appraisal quality and loan characteristics

    Open Access•Hong Lee, Joseph R Mason•ARTICLE•Empirical Economics•2025

    Leading digits in mortgage collateral value estimates are expected to approximate a logarithmic distribution, consistent with the Newcomb–Benford Law (NBL), when such values are modeled as geometric sequences or random samples drawn from heterogeneous price distributions. Using representative US datasets, we document substantial discrepancies between the observed and expected distributions of leading digits in appraisal values. The magnitude of t…

Advertising (1 work) · Auditing, Earnings Management, Governance (1 work) · Benford’s Law and Fraud Detection (1 work) · Biology (1 work) · Business (1 work) · Collateral (1 work) · Credit Risk and Financial Regulations (1 work) · Demographic economics (1 work) · Economic growth (1 work) · Economics (1 work)

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