Information, Knowledge and Belief

The paper models information as possibilities consistent with signals received from the environment. Knowledge is obtained by reasoning about the signals received as well as those that might have been received but were not. The term 'knowledge' is used to refer to those beliefs that are obtained by reasoning about the available information, and nothing else . That is, one ought to be able to fully justify what one knows by means of the information that is available. The term 'belief' is used to refer to those beliefs that are based on information but not necessarily only on information. The author investigates the relationship between information, knowledge and belief, as well as the issue of updating knowledge and belief in response to changes in information.     

Monopoly with resale

We examine the intricacies associated with the design of revenue‐maximizing mechanisms for a monopolist who expects her buyers to resell. We consider two cases: resale to a third party who does not participate in the primary market and interbidder resale, where the winner resells to the losers. To influence the resale outcome, the monopolist must design an allocation rule and a disclosure policy that optimally fashion the beliefs of the participants in the secondary market. Our results show that the revenue‐maximizing mechanism may require a stochastic selling procedure and a disclosure policy richer than the simple announcement of the decision to sell to a particular buyer.     

Analytic derivatives and the computation of GARCH estimates

In the context of univariate GARCH models we show how analytic first and second derivatives of the log-likelihood can be successfully employed for estimation purposes. Maximum likelihood GARCH estimation usually relies on the numerical approximation to the log-likelihood derivatives, on the grounds that an exact analytic differentiation is much too burdensome. We argue that this is not the case and that the computational benefit of using the analytic derivatives (first and second) may be substantial. Furthermore, we make a comparison of various gradient algorithms that are used for the maximization of the GARCH Gaussian likelihood. We suggest the implementation of a globally efficient computation algorithm that is obtained by suitably combining the use of the estimated information matrix with that of the exact Hessian during the maximization process. As this would appear a straightforward extension, we then study the finite sample performance of the exact Hessian and its approximations (that is, the estimated information, outer products and misspecification robust matrices) in inference.     

Attending to inattention: Identification of deadweight loss under nonsalient taxes

Recent developments in behavioral public economics have shown that heterogeneous biases prevent point identification of deadweight loss. We replicate this result for an arbitrary (closed) consumption set, whereas previous results on heterogeneous attention focused on binary choice. We find that one can bound the efficiency costs of taxation based on aggregate features of demand. When individuals have linear demand functions, the bounds for deadweight loss are easy to calculate from linear regressions.     

Family networks and school enrolment: Evidence from a randomized social experiment

We present evidence on whether and how a household's behavior is influenced by the presence and characteristics of its extended family. Using data from the PROGRESA program in Mexico, we exploit information on the paternal and maternal surnames of heads and spouses in conjunction with the Spanish naming convention to identify the inter- and intra-generational family links of each household to others in the same village. We then exploit the randomized research design of the PROGRESA evaluation data to identify whether the treatment effects of PROGRESA transfers on secondary school enrolment vary according to the characteristics of extended family. We find PROGRESA only raises secondary enrolment among households that are embedded in a family network. Eligible but isolated households do not respond. The mechanism through which the extended family influences household schooling choices is the redistribution of resources within the family network from eligibles that receive de facto unconditional cash transfers from PROGRESA, towards eligibles on the margin of enrolling children into secondary school.     

Stakeholder prioritization and reporting: Evidence from Italy and the US

This study investigates the considerations that might be made by managers when choosing between mutually exclusive stakeholder expectations and reaching and engaging in a dialogue with them. In addition, the study also examines if there are systematic differences across countries (Italy and the US) in the decision to address the concerns of various stakeholder groups. Data was collected from 244 managers and 72 companies simultaneously in two different national business contexts, Italy and the US. The results of the study provide some evidence that managerial perception of three stakeholder group characteristics – power, legitimacy, and urgency – form a parsimonious group of variables that explain the process of stakeholder prioritization. However, only limited support was found for the relationship between salience accorded to a stakeholder group and engagement efforts directed toward the group. The results of the study also show that the managerial decision as to which of the stakeholder groups’ demands to address will be influenced by society-specific expectations. The significance of this study lies in investigating the stakeholder prioritization and engagement process, as it is being practiced, which, one could argue, would help in developing guidelines for effective stakeholder management that stands a realistic chance of being adapted and followed.     

Cross-national differences in stakeholder management: Applying institutional theory and comparative capitalism framework

Drawing upon the research in institutional theory and comparative capitalism, the present study investigates how cross-national differences in the political, business, and economic institutional contexts of the United States, Italy, and Japan are associated with the ways in which companies in each of these countries prioritize and engage in their stakeholder engagement activities (SEAs). Using Porter and Kramer's framework, which classifies corporate social responsibility (CSR) activities as falling into four categories (good citizenship, mitigating harm from value chain, transforming value chain activities, and strategic philanthropy), we investigate how companies in the United States, Japan, and Italy prioritize and engage in these four SEAs. An analysis of data collected from 340 companies across these countries reveals that while companies in each of these three countries undertake the four types of SEAs, the prioritization and prevalence of the four types of SEAs vary from one country to the other, in ways that align with the prevailing institutional contexts of each country. The results contribute to a more nuanced understanding of why and how companies' approaches to CSR differ across countries. From a practitioner's perspective, the findings highlight the cultural specificity of CSR, implying that despite the global nature of CSR, the implementation of CSR needs to be tailored to a country's context.     

Design limits and dynamic policy analysis

This paper characterizes the frequency domain properties of feedback control rules in linear systems in order to better understand how different policies affect outcomes frequency by frequency. We are especially concerned in understanding how reductions of variance at some frequencies induce increases in variance at others. Tradeoffs of this type are known in the control literature as design limits. Design limits are important in understanding the full range of effects of macroeconomic stabilization policies. We extend existing results to account for discrete time bivariate systems with rational expectations. Application is made to the evaluation of monetary policy rules.