  A class of conserved models of wealth distributions are studied where wealth
(or money) is assumed to be exchanged between a pair of agents in a population
like the elastically colliding molecules of a gas exchanging energy. All sorts
of distributions from exponential (Boltzmann-Gibbs) to something like Gamma
distributions and to that of Pareto's law (power law) are obtained out of such
models with simple algorithmic exchange processes. Numerical inevstigations,
analysis through transition matrix and a mean field approach are employed to
understand the generative mechanisms. A general scenario is examined wherefrom
a power law and other distributions can emerge.
