Neutron activation analysis of fine grey pottery from Conimbriga,Santa Olaia and Tavarede,Portugal

The concentrations of two major elements and thirteen trace elements in 73 selected sherds of fine grey ware from the Iron Age and Roman period, excavated at Conimbriga, Santa Olaia and Tavarede, Portugal, were determined by instrumental neutron activation analysis. These concentrations were used to calculate distance matrices which were then subjected to cluster analysis employing SAHN and k-means methods, as well as to principal components analysis, to group the sherds according to the overall similarity of their compositional characteristics. The results showed that equivalent groupings appeared regardless of the taxonomic method used. Two major clusters were recognized corresponding to two different sites, namely Conimbriga and Santa Olaia, suggesting that the ceramics from these sites were made locally. No significant differences in compositional patterns were observed between iron age and roman sherds from Conimbriga.     

Interpolating geochemical patterning of activity zones at Late Neolithic and Early Copper Age settlements in eastern Hungary

The Late Neolithic of southeast Hungary is known almost exclusively from excavations of large settlement mounds, or tells. Geochemical analyses of sediments collected from boreholes at small, flat Late Neolithic and Early Copper Age settlements in Hungary's Körös River basin provide data necessary to interpret the spatial organization of small settlements for the first time in this region. Principal Components Analysis of multi-element data produced a workable number of variables. Spatial analyses of these components via interpolation in ArcGIS 9 identified specific task areas, and when combined with sediment characterizations, phosphate ‘spot-tests’ and pH, suggest long-term cultural traditions in the location of activity zones within small farmsteads. The results demonstrate the usefulness of multi-element geochemistry as an intra-site prospection method.     

A STRUCTURAL EMPIRICAL ANALYSIS OF METROPOLITAN LABOR DEMAND*

ABSTRACT. This paper uses a large data base to study metropolitan labor demand functions. The data are disaggregated by two-digit SICs in manufacturing for SMS As, and are corrected for changing SMSA boundaries. Labor demand elasticities are estimated for factor and commodity prices, transportation costs, state and local taxes and expenditures, and production-function shifters. Estimates from different years allow one to test Le Chatelier's principle in the context of interregional change.