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Title: Iterative proportional fitting : theoretical synthesis and practical limitations
Author: Založnik, Maja
ISNI:       0000 0004 2736 7515
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2011
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Iterative proportional fitting (IPF) is described formally and historically and its advantages and limitations are investigated through two practical simulation exercises using UK census micro data. The theoretical review is unique in being comprehensive and interdisciplinary. It is structured by progressing through three levels of understanding IPF: contingency table analysis in classic applications, analysis using log-linear models and finally the understanding IPF as a method for maximizing entropy. An elaborate methodological section develops the measures and technical tools for the analysis, and explores the geographical aspects of the dataset by providing a unique and exhaustive overview of the ecological fallacy, Simpson's paradox and the modifiable areal unit problem. The practical section investigates the behaviour of IPF under different sampling scenarios and different data availability conditions using a large scale computer simulation based on the UK Samples of Anonymised Records. By systematically and comprehensively investigating the theoretical and practical issues related to IPF this thesis supplements the fragmentary and piecemeal nature of the current literature and does so in an accessible and interdisciplinary manner.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available