… We introduce a Bayesian approach for assessing Lorenz and stochastic dominance. For
two income distributions, say X and Y, estimated via Markov chain Monte Carlo, we describe …

… In this paper, we develop and apply Bayesian methods of inference to problems of Lorenz
and stochastic dominance. The result from a comparison of two income distributions is …

… analysis, distributions of asset returns in portfolio analysis, and … We focus on Lorenz, stochastic
and poverty dominance in … a Bayesian approach to assessing dominance. Applications of …

… probability of no dominance. Assessing Lorenz or stochastic dominance involves comparing
… curves: Lorenz curves for Lorenz dominance, generalised Lorenz curves for second-order …

… Bayesian procedure that detects infinite degrees of stochastic dominance (SD ∞ ) between
two random outcomes and then seeks a finite degree k ≥ 1 of stochastic dominance (SD k ). …

… This study applied stochastic dominance approach to show whether the aggregate welfare
in rural … Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions. …

… , comprehensive coverage of stochastic dominance and its … probability distributions,
stochastic dominance has grown in … , Lorenz dominance, poverty dominance, initial dominance, …

… The novel UGini index preserves Lorenz dominance. Analysis of the probability density …
Applying Bayesian statistics provided a data-based classification of the World’s countries’ …

… We present a Bayesian framework for discovering this system of differential equations under
… analysis of the Lorenz96, Lorenz-63, and the Orstein-Uhlenbeck system using the Bayesian …

… The purpose of this paper is to describe and illustrate how Bayesian model-averaging can
be used to average the results from a number of alternative Lorenz functional forms. Instead of …