J Y Choi
Biographic Data
| ID | 34184 |
|---|---|
| NAME | J Y Choi |
| GIVEN NAMES | J Y |
| FAMILY NAME | Choi |
| SIGNATURE | CHOI J Y |
| AFFILIATIONS | Hankuk University of Foreign Studies |
| ORCID | 0000-0001-9439-5338 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Causal Duration Analysis Based on Survival Probability Ratio
For causal effects of a binary treatment on a right-censored duration, the widely used proportional hazard contrasts are non-causal with unrealistic restrictions. This article proposes an alternative flexible causal approach, where we estimate the cumulative hazard, not the hazard itself, using an additive or "exponential-additive" specification with freely time-varying parameters. Our approach includes the proportional hazard as a highly special…
Linear Probability Model Revisited
A linear model is often used to find the effect of a binary treatment [Formula: see text] on a noncontinuous outcome [Formula: see text] with covariates [Formula: see text]. Particularly, a binary [Formula: see text] gives the popular 'linear probability model (LPM),' but the linear model is untenable if [Formula: see text] contains a continuous regressor. This raises the question: what kind of treatment effect does the ordinary least squares est…
Regression Discontinuity with Multiple Running Variables Allowing Partial Effects
In regression discontinuity (RD), a running variable (or “score”) crossing a cutoff determines a treatment that affects the mean-regression function. This paper generalizes this usual “one-score mean RD” in three ways: (i) considering multiple scores, (ii) allowing partial effects due to each score crossing its own cutoff, not just the full effect with all scores crossing all cutoffs, and (iii) accommodating quantile/mode regressions. This genera…
A buried palaeosol and late Pleistocene unconformity in coastal deposits of the eastern Yellow Sea, East Asia
Linear Probability Model Revisited
A linear model is often used to find the effect of a binary treatment [Formula: see text] on a noncontinuous outcome [Formula: see text] with covariates [Formula: see text]. Particularly, a binary [Formula: see text] gives the popular 'linear probability model (LPM),' but the linear model is untenable if [Formula: see text] contains a continuous regressor. This raises the question: what kind of treatment effect does the ordinary least squares est…
A buried palaeosol and late Pleistocene unconformity in coastal deposits of the eastern Yellow Sea, East Asia
Regression Discontinuity with Multiple Running Variables Allowing Partial Effects
In regression discontinuity (RD), a running variable (or “score”) crossing a cutoff determines a treatment that affects the mean-regression function. This paper generalizes this usual “one-score mean RD” in three ways: (i) considering multiple scores, (ii) allowing partial effects due to each score crossing its own cutoff, not just the full effect with all scores crossing all cutoffs, and (iii) accommodating quantile/mode regressions. This genera…
Causal Duration Analysis Based on Survival Probability Ratio
For causal effects of a binary treatment on a right-censored duration, the widely used proportional hazard contrasts are non-causal with unrealistic restrictions. This article proposes an alternative flexible causal approach, where we estimate the cumulative hazard, not the hazard itself, using an additive or "exponential-additive" specification with freely time-varying parameters. Our approach includes the proportional hazard as a highly special…
Linear Probability Model Revisited
A linear model is often used to find the effect of a binary treatment [Formula: see text] on a noncontinuous outcome [Formula: see text] with covariates [Formula: see text]. Particularly, a binary [Formula: see text] gives the popular 'linear probability model (LPM),' but the linear model is untenable if [Formula: see text] contains a continuous regressor. This raises the question: what kind of treatment effect does the ordinary least squares est…
Advanced Causal Inference Techniques (3 works) · Statistical Methods and Inference (3 works) · Estimator (2 works) · Mathematics (2 works) · Statistics (2 works) · Binary number (1 works) · Combinatorics (1 works) · Correlation (1 works) · Covariate (1 works) · Cutoff (1 works)