kaal:claim:2389423-020

Because the distribution in this sample is heteroscedastic, treating each data point equally would allocate inappropriate weight to data points in the distribution, which is why the author used robust and weighted regression specifications.

Source quote, verbatim

The heteroscedasticity of the distribution in the sample of this study suggests that it would be unreasonable to assume that each data point should be treated equally. Treating each data point equally would allocate inappropriate weight to the data points in the distribution.

From

Wulf A. Kaal, The Impact of Dodd-Frank Act Compliance Cost on the Hedge Fund Industry (2014), Methodology, p. 10
https://ssrn.com/abstract=2389423 · source PDF

Cite as

Wulf A. Kaal, The Impact of Dodd-Frank Act Compliance Cost on the Hedge Fund Industry (2014). SSRN: https://ssrn.com/abstract=2389423

Holds when

survey samples with heteroscedastic distributions
small datasets with data points of varying importance

Classification

designsupport: arguedresearch-methodsempirical-evidence

Verify

The quote above is an exact substring of the source PDF, whose sha256 is 6b95323abbaffd00a012589531859f2938ab8b372d0243171059ff82e55a0838. Extraction method: pdf-text-layer.
Attestation record: colloquium/attestations/43aa1845e2b7fdd3...json
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/2389423-020.md | sha256sum