A HEDONIC MODEL OF INTERREGIONAL WAGES,RENTS, AND AMENITY VALUES*

ABSTRACT This paper develops a general multimarket hedonic model appropriate for a national, interregional study of wages, housing prices, and location-specific amenities. The model encompasses the effects of interregional location, intraurban location, and city size. Typically, hedonic studies focus on a single market such as labor or housing and ignore interactions implicit in a more global compensation mechanism. Examination of the comparative statics of our model indicates that single-market differentials are partial prices and are unreliable measures of amenity values in an interregional context. Unbiased amenity values are estimated for a comprehensive set of amenities using data on housing prices for 34,414 households and wages for 46,004 workers from the 1980 Census of Population and Housing. Statistically significant differences in housing prices and wages are found due to amenities.     

SINGING SUBJECTS AND SACRED OBJECTS: MORE ON MUNN'S ‘TRANSFORMATION OF SUBJECTS INTO OBJECTS’ IN CENTRAL AUSTRALIAN MYTH

Nancy Munn's ‘The Transformation of Subjects into Objects in Walbiri and Pitjantjatjara Myth’ is a landmark in our understanding of the processes by which the Aboriginal world is created and sustained. Her paper is summarised and then related to similar concerns extant among the neighbouring Aranda. Munn's account of relationships between people and country is shown to be part of a wider reality encompassing all stages of the life-cycle and characterised by a triple dialectic between ‘surface’ and ‘depth‘, between male and female, and between life and death. The study is preliminary to a psychological account of these dialectical processes to be published at a later date.     

Elimination of Source A and B Errors in p-Median Location Problems

The p-median problem is a powerful tool in analyzing facility location options when the goal of the location scheme is to minimize the average distance that demand must traverse to reach its nearest facility. It may be used to determine the number of facilities to site, as well as the actual facility locations. Demand data are frequently aggregated in p-median location problems to reduce the computational complexity of the problem. Demand data aggregation, however, results in the loss of locational information. This loss may lead to suboptimal facility location configurations (optimality errors) and inaccurate measures of the resulting travel distances (cost errors). Hillsman and Rhoda (1978) have identified three error components: Source A, B, and C errors, which may result from demand data aggregation. In this article, a method to measure weighted travel distances in p-median problems which eliminates Source A and B errors is proposed. Test problem results indicate that the proposed measurement scheme yields solutions with lower optimality and cost errors than does the traditional distance measurement scheme.