This paper evaluates the relationship between corporate strategy and quantitative financial criteria for choosing the optimal set of projects for the Capital Budget. On the basis of the competitive dynamics of the industry and the corporate strategy, different sets of projects should be selected...

The effects of structural breaks in dynamic panels are more complicated than in time series models as the bias can be either negative or positive. This paper focuses on the effects of mean shifts in otherwise stationary processes within an instrumental variable panel estimation framework. We...

Purpose – New federal legislation proposes to reduce greenhouse gas (GHG) emissions associated with biofuel production. To comply, existing corn ethanol plants will have to invest in new more carbon efficient production technology such as dry fractionation. However, this will be challenging...

We show that use of ordinary least-squares to explore relationships involving firm-level stock returns as the dependent variable in the face of structured dependence between individual firms leads to an endogeneity problem. This in turn leads to biased and inconsistent least-squares estimates. A...

The success of the agricultural systems is affected by several social, cultural and economical variables, which can restrict or nurture the development of the agribusiness. In this context, agricultural managers search for ways to improve production efficiency. This effort comprises the...

In this paper, control variates are proposed to speed up Monte Carlo simulations to estimate expected error rates in multivariate classification.

It is often unclear whether time series displaying substantial persistence should be modelled as a vector autoregression in levels (perhaps with a trend term) or in differences. The impact of this decision on inference is examined here using Monte Carlo simulation. In particular, the size and...

This article focuses on the monitoring of a supply chain dedicated to the mass production of strongly diversified products. In particular we are interested in the part of this chain that contributes to the production of a set of alternative modules assembled on a work station of one or several...

Estimation methods of bivariate fractional cointegration models are numerous. In most cases they have non-equivalent asymptotic and finite sample properties, implying diffculties in determining an optimal estimation strategy. In this paper, we address this issue by means of simulations and...