Is household income enough for human development or should government direct resources towards the provision of social services to improve capabilities of individuals? The former is emphasised by the World Bank, and the latter by the United Nation Development Programme (UNDP). This paper tests...

The economy of Orissa has been lagging behind the national economy by several decades. Its per capita net state domestic product, a measure of average income, stood at Rs.20200 for 2006-07 which falls behind the national average by about 35 per cent. Moreover, the gross domestic product of the...

This paper investigates labour supply of the wives of the heads of households in Mexico City, with a focus on the impact of family structure. A static neoclassical structural model is used. We assume that each woman chooses her labour supply and corresponding income so that her utility is...

Foreign Direct Investment (FDI) has surged in Latin America (LA) since the mid 1990s. European and North American FDI is of capital importance. We investigate the FDI-growth nexus in LA allowing for different source countries, regional hetero- geneity, interaction terms with FDI, and more than...

The aim of this paper is to quantify the benefit of demand and inventory smoothing in contrasting the extreme volatility and impetuous alteration of the market produced by the current economic recession. To do so we model a traditional supply chain and we test five settings of order smoothing...

Abstract: Factor screening searches for the really important inputs (factors) among the many inputs that are changed in a realistic simulation experiment. Sequential bifurcation (SB) is a sequential method that changes groups of inputs simultaneously. SB is the most efficient and effective...

This article illustrates simulation optimization through an (s, S) inventory management system.In this system, the goal function to be minimized is the expected value of specific inventory costs.Moreover, specific constraints must be satisfied for some random simulation responses, namely the...

Classic linear regression models and their concomitant statistical designs assume a univariate response and white noise.By definition, white noise is normally, independently, and identically distributed with zero mean.This survey tries to answer the following questions: (i) How realistic are...

This article reviews so-called screening in simulation; i.e., it examines the search for the really important factors in experiments with simulation models that have very many factors (or inputs). The article focuses on a most efficient and effec- tive screening method, namely Sequential...

Design Of Experiments (DOE) is needed for experiments with real-life systems, and with either deterministic or random simulation models. This contribution discusses the different types of DOE for these three domains, but focusses on random simulation. DOE may have two goals: sensitivity analysis...