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Impact by design: translating Lead times in flux into an R handbook with code

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  • Harrison Katz

Abstract

This commentary translates the central ideas in Lead times in flux into a practice ready handbook in R. The original article measures change in the full distribution of booking lead times with a normalized L1 distance and tracks that divergence across months relative to year over year and to a fixed 2018 reference. It also provides a bound that links divergence and remaining horizon to the relative error of pickup forecasts. We implement these ideas end to end in R, using a minimal data schema and providing runnable scripts, simulated examples, and a prespecified evaluation plan. All results use synthetic data so the exposition is fully reproducible without reference to proprietary sources.

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  • Harrison Katz, 2025. "Impact by design: translating Lead times in flux into an R handbook with code," Papers 2511.12763, arXiv.org, revised Nov 2025.
    • Handle: RePEc:arx:papers:2511.12763
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    File URL: http://arxiv.org/pdf/2511.12763
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