Hierarchical Information Integration Applied to Residential Choice Behavior

Jordan J. Louviere · Harry J.P. Timmermans

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Economic and Environmental Valuation Multi-Criteria Decision Making Decision-Making and Behavioral Economics

Abstract

The method of hierarchical information integration can be applied to the study of complex decision‐making processes in which preference formation is influenced by many attributes of choice alternatives. In this paper, we extend Louviere's (1984) original approach to include the modeling choice processes in addition to judgment processes. Assumptions underlying the original and our extension are discussed and the new method is applied in an analysis of residential choice behavior.

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1983Advances in Consumer Research 1964Simultaneous conjoint measurement: A new type of fundamental measurement 1983Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data 1976Contemporary Developments in Mathematical Psychology 1989Analyzing Decision Making: Metric Conjoint Analysis 1983Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data 1987Handbook of Regional and Urban Economics 1988Analyzing Decision Making

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