In recent years, a range of measures of "partial" or "degree of" stochastic dominance have been introduced. These measures attempt to determine the extent to which one distribution is dominated by another. In order to systematically assess these proposed measures and their relationship to...

In this paper we introduce a technique for perfect simulation from the stationary distribution of a standard model of industry dynamics. The method can be adapted to other, possibly non-monotone, regenerative processes found in industrial organization and other fields of economics. The algorithm...

In estimation and calibration studies the convergence of time series sample averages plays a central role. At the same time, a significant number of economic models do not satisfy the classical ergodicity conditions. Motivated by existing work on asymptotics of stochastic economic models, we...

In estimation and calibration studies the concept of ergodicity plays a fundamental role. At the same time, a significant number of economic models do not satisfy the classical ergodicity conditions. Motivated by existing work on economic dynamics, we develop a new set of results on ergodicity...

In equilibrium models of firm dynamics, the stationary equilibrium distribution of firms summarizes the predictions of the model for a given set of primitives. Focusing on Hopenhayn's seminal model of firm dynamics with entry and exit (Econometrica, 60:5, 1992, p. 1127–1150), we provide an...

Consider a preordered metric space (X; d;). Suppose that d(x; y) d(x0; y0) if x0 x y y0. We say that a self-map T on X is asymptotically contractive if d(Tix; Tiy) ! 0 for all x; y 2 X. We show that an order-preserving self-map T on X has a globally stable xed point if and only if T is...

In this paper we introduce a technique for perfect sampling from the stationary distribution of possibly non-monotone regenerative processes, such as those that describe industry dynamics (where regeneration corresponds to the process of exit of firms and entry of new ones). The algorithm we...

This paper extends a family of well-known stability theorems for monotone economies to a significantly larger class of models. We provide a set of general conditions for existence, uniqueness and stability of stationary distributions when monotonicity holds. The conditions in our main result are...

In this paper we introduce a technique for perfect simulation from the stationary distribution of a standard model of industry dynamics. The method can be adapted to other, possibly non-monotone, regenerative processes found in industrial organization and other fields of economics. The algorithm...

Random dynamical systems encountered in economics have certain distinctive characteristics that make them particularly well suited to analysis using the tools for studying Markov processes developed by Rabi N. Bhattacharya and his coauthors over the last few decades. In this essay we discuss the...