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Survival analysis of bank note circulation: Fitness, network structure, and machine learning | Juan Estrada

Survival analysis of bank note circulation: Fitness, network structure, and machine learning

Abstract

The efficient distribution of bank notes is a first‐order responsibility of central banks. The authors study the distribution patterns of bank notes with an administrative dataset from the Bank of Canada’s Currency Inventory Management Strategy. The single note inspection procedure generates a sample of 900 million bank notes in which the authors can trace the length of the stay of a bank note in the market. The authors define the duration of the bank note circulation cycle as beginning on the date the bank note is first shipped by the Bank of Canada to a financial institution and ending when it is returned to the Bank of Canada. In addition, the authors provide information regarding where the bank note is shipped and later received, as well as the physical fitness of the bank note upon return to the Bank of Canada’s distribution centers. K–prototype clustering classifies bank notes into types. A hazard model estimates the duration of bank note circulation cycles based on their clusters andc haracteristics. An adaptive elastic net provides an algorithm for dimension reduction. It is found that while the distribution of the duration is affected by fitness measures, their effects are negligible when compared with the influence exerted by the clusters related to bank note denominations.

Publication
Advances in Econometrics, (42), pp. 235-262, edited by Áureo de Paula, Elie Tamer, and Marcel Voia. Emerald Group Publishing