A Stochastic Frontier Model with Endogenous Treatment Status and Mediator

A Laplace Stochastic Frontier Model

We propose a Laplace stochastic frontier model as an alternative to the traditional model with normal errors. An interesting feature of the Laplace model is that the distribution of inefficiency conditional on the composed error is constant for positive values of the composed error, but varies for negative values. Therefore, it may be ideally suited for analyzing industries with many forms on o...

Stochastic Non-Parametric Frontier Analysis

In this paper we develop an approach that synthesizes the best features of the two main methods in the estimation of production efficiency. Specically, our approach first allows for statistical noise, similar to Stochastic frontier analysis, and second, it allows modeling multiple-inputs-multiple-outputs technologies without imposing parametric assumptions on production relationship, similar to...

Ranking Ecient DMUs with Stochastic Data by Considering Inecient Frontier

Optimal Taxation in a Stochastic Endogenous Growth Model with Congestion

In this paper the impacts of income and consumption taxes are analyzed within a model of stochastic endogenous growth with congestion. It is shown that the optimal amount of governmental input diminishes with uncertainty and that the optimal financing depends on the relation between the degrees of rivalry and relative risk aversion. Due to the insurance effect associated with the taxation of st...

A stochastic mathematical model of avascular tumor growth patterns and its treatment by means of noises

Due to the rate increase in cancer incidence, many researchers in different fields have been conducting studies on cancer-related phenomena. Most studies are conducted to focus on cellular and molecular aspects of cancerous diseases and treatment strategies. Physicists have been using mathematical modeling and simulation to explain the growth pattern of tumors. Although most published studies i...