Morgan (1983) guaranteed that VSS dominated both FSS and SSR. But it is difficult to calculate the optimal sample size and the optimal reservation price both without recall and with full recall. As VSS without recall is a simplification of VSS with full recall, we will present on appendix a VB30...

Fictitious play is the classical myopic learning process, and games with strategic complementarities are an important class of games including many economic applications. Knowledge about convergence properties of fictitious play in this class of games is scarce, however. Beyond dominance...

Fictitious play is the oldest and most studied learning process for games. Since the already classical result for zero-sum games, convergence of beliefs to the set of Nash equilibria has been established for some important classes of games, including weighted potential games, supermodular games...

It is known that every continuous time fictitious play process approaches equilibrium in every nondegenerate 2x2 and 2x3 game, and it has been conjectured that convergence to equilibrium holds generally for 2xn games. We give a simple geometric proof of this.

This paper proposes a new test to distinguish between the two leading theories of discrimination: preference versus information. Discrimination based on preferences occurs when people behave as if they refuse to change their stereotypes about the capabilities of discriminated individuals. Those...

AFRICAN ECONOMIC PERFORMANCE HAS BEEN MARKEDLY WORSE THAN THAT OF OTHER REGIONS. THUS, THE GOVERNMENTS OF AFRICAN COUNTRIES HAVE ASSUMED MAJOR RESPONSIBILITIES FOR ECONOMIC REFORMS AND GROWTH. ALONG WITH THESE RESPONSIBILITIES HAS COME AN INCREASED AWARENESS OF THE INTERRELATEDNESS OF DIFFERENT...

A lattice-based method is advanced for evaluating functionals of sequences of path-wise values of a lattice's state variable. For the Asian call valuations in this paper, the lattices discretely replicate the stochastic future states of conventionally prescribed, lognormally distributed, equity...