Moshe Buchinsky

Overview

Moshe Buchinsky is a labor economist at UCLA (with affiliations at NBER and CREST-INSEE, France). He is known for methodological contributions to quantile regression and its applications to U.S. wage inequality dynamics. At the time of the Benítez-Silva et al. (1999) DI paper he was at Brown University. His broader research covers wage inequality, labor supply, and the structural estimation of dynamic models.

Key Contributions

• Benítez-Silva et al. (1999) — Co-author of the foundational HRS-based empirical decomposition of the DI "game tree"; contributed to the binary logit and marginal probability model estimation of application, appeal, and award decisions. See Conditional DI Applicants and SSA Sequential Determination Process.
• Benítez-Silva et al. (2004) — Co-author of the RUR hypothesis test; the paper's bootstrap methodology draws on Buchinsky's prior work (Andrews and Buchinsky 2000) on bootstrap repetition selection. See Rational Unbiased Reporting.

Related

• Hugo Benítez-Silva
• John Rust
• Rational Unbiased Reporting
• Conditional DI Applicants
• SSA Sequential Determination Process
• Health and Retirement Study

Sources

• Benítez-Silva et al 1999 — An Empirical Analysis of the Social Security Disability Application, Appeal, and Award Process
• Benítez-Silva et al 2004 — How Large Is the Bias in Self-Reported Disability