# kaal:claim:2389423-020

**Claim.** 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.

**Type.** design  **Support.** argued

**Holds when.**

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

**Source quote.**

> 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, page 10

**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

**Verify.** sha256 of source PDF `6b95323abbaffd00a012589531859f2938ab8b372d0243171059ff82e55a0838` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202014%20-%20The%20Impact%20of%20Dodd-Frank%20Act%20Compliance%20Cost%20on%20the%20Hedge%20Fund%20Industry.pdf

**Topics.** research-methods, empirical-evidence

**Keywords.** heteroscedasticity, weighted-regression, robust-regression, methodology, survey-data

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