# kaal:claim:2150377-016

**Claim.** The standard remedies for selection bias are not reliably corrective: simulation studies show that many techniques used to prevent selection bias problems have mixed success rates, can worsen rather than improve estimates, and may skew results under ordinary circumstances.

**Type.** failure  **Support.** evidenced

**Holds when.**

- statistical corrections for sample selection bias in social research

**Source quote.**

> Simulation studies have shown that many of the techniques used to prevent selection bias problems have mixed success rates, can worsen rather than improve estimates, and may skew results under ordinary circumstances.187

**From.** Wulf A. Kaal, *Hedge Fund Manager Registration Under the Dodd-Frank Act* (2012), C. Selection Bias

**Cite as.** Wulf A. Kaal, Hedge Fund Manager Registration Under the Dodd-Frank Act (2012). SSRN: https://ssrn.com/abstract=2150377

**Verify.** sha256 of source PDF `0b58bb409cac7674d78515f5374096f9a349de3bbd1983c990e0edc85a635a09` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202012%20-%20Hedge%20Fund%20Manager%20Registration%20Under%20the%20Dodd-Frank%20Act.pdf

**Failure mode.** selection-bias-corrections-backfire  (family: sample-and-selection-bias)

**Topics.** research-methods, empirical-evidence, law-and-legal-systems

**Keywords.** selection-bias, research-methods, statistical-correction, empirical-legal-studies, survey-methodology

**Related claims.**

- generalizes: https://wulfkaal.github.io/claims/2447306-007

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.