This paper discusses a range of possible computing strategies for a European tax- benefit model, covering generic types of software and some specific brands. Ensuring flexibility, adaptability and durability are particularly important for a European tax- benefit model which must accomodate varying data formats and a wide range of tax and benefit policy structures. The paper discusses ways in which the computing needs of tax-benefit models differ from more common statistical and database applications. Example tax algoritghms in three different languages are included to illustrate the way in which a relational rather than a `flat' data structure permits flexibility and avoids the need for pre-defined institutional constructs such as the benefit or tax unit. Some of the computing implications of incorporating behavioural responses to modelled policy change are also discussed. Costs, run-times and data storage requirements are also considered.
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