INFORMATION DISCLOSURE POLICIES: EVIDENCE FROM THE ELECTRICITY INDUSTRY

While theory suggests that information programs may correct market failures and improve welfare, the empirical impacts of these policies remain undetermined. We show that mandatory disclosure programs in the electricity industry achieve stated policy goals. We find that the proportion of fossil fuels decreases, and the proportion of clean fuels increases in response to disclosure programs. However, the programs may produce unintended consequences. For example, programs may make “clean” firms cleaner, while leaving “dirty” firms relatively unchanged. If the marginal benefits of pollution abatement are larger at dirty firms than at clean firms, disclosure programs may induce inefficient abatement allocations. (JEL D83, Q58, D21)     

Semiparametric Estimation of a Two-component Mixture Model where One Component is known

Abstract.  We consider a two-component mixture model where one component distribution is known while the mixing proportion and the other component distribution are unknown. These kinds of models were first introduced in biology to study the differences in expression between genes. The various estimation methods proposed till now have all assumed that the unknown distribution belongs to a parametric family. In this paper, we show how this assumption can be relaxed. First, we note that generally the above model is not identifiable, but we show that under moment and symmetry conditions some 'almost everywhere' identifiability results can be obtained. Where such identifiability conditions are fulfilled we propose an estimation method for the unknown parameters which is shown to be strongly consistent under mild conditions. We discuss applications of our method to microarray data analysis and to the training data problem. We compare our method to the parametric approach using simulated data and, finally, we apply our method to real data from microarray experiments.     

STAKEHOLDERS AND COMPETITIVE ADVANTAGE: THE CASE OF ISO 14001

This paper integrates a stakeholder perspective into the resource‐based view of the firm, to analyze the mechanisms that link the adoption of the international Environmental Management Standard ISO 14001 to firms' competitive advantage. This paper shows that the perceived competitiveness impact of the standard depends mostly on the involvement of firms' external stakeholders (distributors, customers, community members, and regulatory agencies) in its design. ISO 14001 is a process standard, and it is difficult for stakeholders to get credible information on the effectiveness of the standard if they are not involved in its design. Stakeholders' involvement in a firm's ISO 14001 standard becomes a valuable organizational capability, which is difficult to imitate by competitors. The analysis is supported by primary data collected from a questionnaire mailed to 152 firms, resulting in 55 observations representing 30% of the total number of firms certified in the U.S. in August 1998.