title: Identification of segmentation criteria for the improvement of population forecasts.
abstract: "It is often stated that the single most important influence on the quality of forecasts of behaviour is the set of predetermined exogenous variables (typically sociodemographic) that categorise the population.  These variables are used to carry the sampled population into the future as a representation of the composition of future populations.... It is argued that a desired segmentation set should be linked to preference stability, and that a suitable procedure for establishing such a link is via preference data derived from a controlled experimental design.  From the empirical study it is illustrated how preference data can be combined with socioeconomic data to seek out the role of the 'current' set and the 'new' set of socioeconomic variables in a particular forecasting context.  Since the selection of variables must be application specific, the main emphasis of this paper is on the methodology.  The reported empirical findings [for Australia] are of illustrative use only."
authors.forename: D A
authors.initials: DA
authors.lastname: Hensher
authors.forename: M E
authors.initials: ME
authors.lastname: Beesley
mesh_terms: D001315:Australia; D003710:Demography; D019049:Developed Countries; D003906:Developing Countries; D004467:Economics; D005544:Forecasting; D008722:Methods; D010139:Pacific Islands; D011153:Population; D011154:Population Characteristics; D011158:Population Growth; D012106:Research; D012959:Socioeconomic Factors; D013223:Statistics as Topic
keywords: Australia; Demographic Factors; Developed Countries; Developing Countries; Economic Factors; Estimation Technics; Methodological Studies; Oceania; Population; Population Characteristics; Population Forecast; Population Growth Estimation; Population Projection; Research Methodology; Socioeconomic Factors; World