Discounting long run average growth in stochastic dynamic programs

Summary. Finding solutions to the Bellman equation often relies on restrictive boundedness assumptions. In this paper we develop a method of proof that allows to dispense with the assumption that returns are bounded from above. In applications our assumptions only imply that long run average (expected) growth is sufficiently discounted, in sharp contrast with classical assumptions either absolutely bounding growth or bounding each period (instead of long run) maximum (instead of average) growth. We discuss our work in relation to the literature and provide several examples. Received: July 26, 2000; revised version: July 10, 2002 RID="*" ID="*" I am specially grateful to Cuong Le Van and to anonymous referee for detecting an error in a previous version of this paper and for suggestions that sensibly improved the paper. Comments and suggestions are also acknowledged to Michele Boldrin, Raouf Boucekkine, Fabrice Collard, Tim Kehoe, Omar Licandro, and Luis Puch. I am also indebted to participants to the III Summer School on Economic Theory held at the Universidade de Vigo, the Macroeconomics Workshop at the Universitat Autò}noma de Barcelona, and the Econometrics Seminar at Tilburg University. Financial support from the Belgian government, under project PAI P4/01, at the IRES-UCL, from a European Marie Curie fellowship, Grant HPMF-CT-1999-00410, at the CEPREMAP, and from IVIE and Spanish Ministerio de Ciencia y Tecnología and FEDER, under project BEC2001-0535, at the Universidad de Alicante, is gratefully acknowledged.     

The importance of the firm and destination effects to explain firm performance

An interesting question in tourism management is why tourist firms obtain different performance levels. Firm performance in the tourism industry depends mainly on the destination where the company operates (location or destination effect), and on firm internal resources and characteristics (firm effect). The purpose of this paper is to determine the relative importance of the firm and destination effects using a multilevel approach and hierarchical linear models. The findings show that both effects impact significantly on firm performance, and also that the firm effect is more important than the destination effect. We equally provide some insights about the relationships between these two levels with the aim of building bridges between them.     

Monday returns and asset pricing

The seasonal patterns observed on Monday stock returns are still unexplained by different asset pricing models. We attempt to fill this gap in the finance literature by using the Fama-French (Journal of Financial Economics 33:3–56, 1993) risk factors to explain the Monday seasonal. The results in the study show that Monday returns are explained by risk factors such as the market return, the size of the firms, and the book-to-market ratios of firms.     

Which Firms are More Sensitive to Public Disclosure Schemes for Pollution Control? Evidence from Indonesia’s PROPER Program

This paper analyzes differences in firms’ responsiveness to PROPER, Indonesia’s public disclosure program for industrial pollution control. The overall effectiveness of this program at achieving emissions reductions and its low regulatory costs have earned it a good reputation around the world. PROPER had no deterrents or incentives other than those that arose indirectly from publicly disclosing information about the environmental performances of firms. We analyzed plant-level data to relate short- and longer-term environmental responses to facility characteristics. The results revealed that foreign-owned firms were consistently more likely to respond to the environmental rating scheme, compared to private domestic firms. This is a clear and important insight with consequences for a number of issues, such as understanding the pollution haven debate. Also, firms located in densely populated regions, particularly in Java, responded more positively to the public disclosure of PROPER ratings. The main observed effect was however given by the initial level of environmental performance of firms. Those firms that had bad environmental performance records felt pressure to improve, but if the initial abatement steps had already been taken, the incentives to improve further appeared to diminish.     

Using partial identification methods to estimate the effect of violence against women on their children’s health outcomes

A growing literature in economics seeks to estimate the costs of violence against women by examining, for example, its impact on the health outcomes of their children. However, it is difficult to assign a causal interpretation to these nonexperimental studies due to the presence of unobservable characteristics affecting violence and health outcomes simultaneously. The lack of credible instrumental variables applicable in several countries further limits our knowledge. I address this gap by using new partial identification methods to estimate the relative size of the unobservables needed to eliminate the estimated effects in nonexperimental studies. I also expand the external validity of the analysis by using data from five standardized nationally representative household surveys in Latin America. Consistent with previous studies, cross-sectional estimates show large negative associations between violence against women and an array of child health outcomes. However, when accounting for omitted variable bias, at best, two-thirds of the estimates remain robust and they are concentrated on the outcomes with the largest cross-sectional estimated impacts.     

A Sufficient Condition for Generalized Lorenz Order

In this paper, a sufficient condition for non-negative random variables to be ordered in the Generalized Lorenz sense is presented. This condition does not involve inverse distribution functions. Applications of this result to several income distribution models are given. Journal of Economic Literature Classification Numbers: D36, D69.     

Model for evaluating the environmental sustainability of energy projects

This article focuses on the problem of assessing the environmental sustainability of energy projects. For this purpose an original model, which is based on various indicators that measure the environmental sustainability of energy projects, has been developed. This model, so called index of environmental sustainability of energy projects (IESEP), can be used in scenario comparison, while measuring the effectiveness of the proposed alternatives. Finally, an example of how to use this model is provided by analyzing alternatives to ameliorate the environmental sustainability of a hydroelectric project. In doing so, it is possible to show the usefulness of this model when used as a decision making tool for energy planners.