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dc.contributor.authorFarhat, Dan
dc.identifier.citationFarhat, D. (2014). Information Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealand (Economics Discussion Papers Series No. 1405). University of Otago. Retrieved from
dc.identifier.issnISSN 1178-2293 (Online)
dc.description.abstractThis study explores the value of information transmission in training het-erogeneous Artificial Neural Network (ANN) models to identify patterns in the growth rate of aggregate per-capita consumption spending in New Zealand. A tier structure is used to model how information passes from one ANN to another. A group of ‘tier 1’ ANNs are first trained to identify consumption patterns using economic data. ANNs in subsequent tiers are also trained to identify consumption patterns, but they use the pat-terns constructed by ANNs trained in the preceding tier (secondary information) as in-puts. The model’s results suggest that it is possible for ANNs downstream to outper-form ANNs trained using empirical data directly on average. This result, however, var-ies from time period to time period. Increasing access to secondary information is shown to increase the similarity of heterogeneous predictions by ANNs in lower tiers, but not substantially affect average accuracy.en_NZ
dc.publisherUniversity of Otagoen_NZ
dc.relation.ispartofseriesEconomics Discussion Papers Seriesen_NZ
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.subjectArtificial neural networksen_NZ
dc.subjectaggregate consumption patternsen_NZ
dc.subjectinformation transmissionen_NZ
dc.titleInformation Processing, Pattern Transmission and Aggregate Consumption Patterns in New Zealanden_NZ
dc.typeDiscussion Paperen_NZ
otago.schoolOtago Business School / Department of Economicsen_NZ
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Attribution-NonCommercial-ShareAlike 4.0 International
Except where otherwise noted, this item's licence is described as Attribution-NonCommercial-ShareAlike 4.0 International