# kaal:claim:3249860-018

**Claim.** Coding categories frequently allowed a token to fall into more than one category, and where that occurred each category was given equal weight, coded as 0.5 and 0.5 for the corresponding dummy variables.

**Type.** definitional  **Support.** evidenced

**Holds when.**

- all figures in the study

**Source quote.**

> It is important to note, coding categories often allowed tokens to fall into more than one category. If the token fell into more than one category, the researchers gave equal weight to each category.

**From.** Wulf A. Kaal, *Crypto Economics - The Top 100 Token Models Compared* (2018), III. Methodology & Data, page 12

**Cite as.** Wulf A. Kaal, Crypto Economics - The Top 100 Token Models Compared (2018). SSRN: https://ssrn.com/abstract=3249860

**Verify.** sha256 of source PDF `72b13f11002ba26206cd53e74c324b913d1830c642bfa024da6bac0d3af3a7b0` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202018%20-%20Crypto%20Economics%20-%20The%20Top%20100%20Token%20Models%20Compared.pdf

**Topics.** research-methods, open-source-and-code, systemic-risk

**Keywords.** methodology, coding, dummy-variables, classification

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