On the application of 3-D scanning technology for the documentation and typology of lithic artifacts

A 3-D optical scanner was used to obtain precise and complete representations of lithic artifacts. A computer algorithm, which was specially developed for the purpose, was used to position the artifacts in a way which enables the extraction of the standard metric parameters (length, width, width at 1/2 length, etc.). In this way, the ambiguities which affect the traditional manual measurements were eliminated. This new methodology creates accurate and objective databases. Several other parameters (center of mass position, volume, surface area) were also computed. The advantages of our method are illustrated by the analysis of 90 scanned Lower Paleolithic handaxes.     

The Maximal Covering Problem with Some Negative Weights

This article presents the maximal covering problem on a network when some of the weights can be negative. Integer programming formulations are proposed and tested with ILOG CPLEX. Heuristic algorithms, an ascent algorithm, and simulated annealing are proposed and tested. The simulated annealing approach provides the best results for a data set comprising 40 problems.     

The Expected Maximum Distance Objective in Facility Location

Abstract In this paper we introduce a new objective function for the minimax location problem. Every demand point generates demand for service with a given probability (during a given period of time) and the objective is to minimize the expected maximum distance. The planar problem is proven to be convex and thus standard solution techniques such as using the Solver in Excel can be applied for its solution. Properties for the problem on the network are proven and an efficient algorithm proposed for its solution.     

INCOME INEQUALITY,ECONOMIC GROWTH,AND THE DISTRIBUTION OF INCOME GAINS: EVIDENCE FROM THE U.S. STATES*

ABSTRACT This paper first investigates a relationship between economic growth and income inequality using U.S. states data, a state cost‐of‐living deflator, and nonlinearity. It then explores the distribution of income gains among different income groups. We find that the impact of inequality on growth is nonlinear. Lowering inequality or increasing it substantially reduces growth; thus stable inequality may be good for growth. Economic growth affects incomes of the poor, the middle‐income group, and the rich similarly with the elasticity of one. Education and labor market policies become important in promoting growth and improving income gains of the poor.     

The pure effect of social preferences on regional location choices: The evolving dynamics of convergence to a steady state population distribution

This paper tracks the consequences of individuals’ desire to align their location with their social preferences. The social preference studied in the paper is distaste for relative deprivation, measured in a cardinal manner. Location is conceived as social space, with individuals choosing to relocate if, as a result, their relative deprivation will be reduced, holding their incomes constant. Conditions are provided under which the associated dynamics reaches a spatial steady state, the number of periods it takes to reach a steady state is specified, and light is shed on the robustness of the steady state outcome. By way of simulation it is shown that for large populations, a steady state of the relocation dynamics is almost always reached, typically in one period, and that cycles are more likely to occur when the populations’ income distributions are more equal.