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Sejin Myung

Publications and source records attributed to Sejin Myung.

2 recordsLinked to original sources

KRAFT: A Transaction-Level Dataset for Korean Apartment Sales Integrated with Contextual Indicators

Apartment transaction records are useful for studying housing markets, household finance, regional economics, and macro-financial transmission, but transaction data are often distributed separately from contextual socioeconomic indicators. We present KRAFT, a nationwide transaction-level dataset of South Korean apartment sales from January 2015 to December 2024. The dataset contains 5,320,379 apartment sale transactions across all 17 Sido regions and includes transaction timing, administrative location, exclusive residential area, reported transaction price, floor level, and construction year. KRAFT also provides auxiliary indicators covering macro-financial conditions, demographic structure, education infrastructure, private education expenditure, housing price indices, consumer sentiment, and economic policy uncertainty. The released files are organized as year-specific transaction files and separate auxiliary data tables to preserve the original temporal and spatial resolution of each source. KRAFT supports reproducible research on apartment price modeling, regional housing-market comparison, housing-demand analysis, and links between housing transactions and socioeconomic context.

econ.EM

KoTaP: A Panel Dataset for Corporate Tax Avoidance, Performance, and Governance in Korea

This study introduces the Korean Tax Avoidance Panel (KoTaP), a long-term panel dataset of non-financial firms listed on KOSPI and KOSDAQ between 2011 and 2024. After excluding financial firms, firms with non-December fiscal year ends, capital impairment, and negative pre-tax income, the final dataset consists of 12,653 firm-year observations from 1,754 firms. KoTaP is designed to treat corporate tax avoidance as a predictor variable and link it to multiple domains, including earnings management (accrual- and activity-based), profitability (ROA, ROE, CFO, LOSS), stability (LEV, CUR, SIZE, PPE, AGE, INVREC), growth (GRW, MB, TQ), and governance (BIG4, FORN, OWN). Tax avoidance itself is measured using complementary indicators cash effective tax rate (CETR), GAAP effective tax rate (GETR), and book-tax difference measures (TSTA, TSDA) with adjustments to ensure interpretability. A key strength of KoTaP is its balanced panel structure with standardized variables and its consistency with international literature on the distribution and correlation of core indicators. At the same time, it reflects distinctive institutional features of Korean firms, such as concentrated ownership, high foreign shareholding, and elevated liquidity ratios, providing both international comparability and contextual uniqueness. KoTaP enables applications in benchmarking econometric and deep learning models, external validity checks, and explainable AI analyses. It further supports policy evaluation, audit planning, and investment analysis, making it a critical open resource for accounting, finance, and interdisciplinary research.

cs.LG