The use of possibilistic networks for representing conditional preference statements on discrete variables has been proposed only recently. The approach uses non-instantiated possibility weights to define conditional preference tables. Moreover, additional information about the relative strengths of these symbolic weights can be taken into account. The fact that at best we have some information...

This paper provides conditions for identification, and an associated estimator, of the average effect of a binary treatment or policy on a scalar outcome in models where treatment may be misclassified. Misclassification probabilities and the true probability of treatment are also identified. Misclassification occurs when treatment is measured with error, that is, some units are reported to have...

W study optimization problems with value-at-risk (VaR) constraints. Because it lacks subadditivity, VaR is not a coherent risk measure and does not necessarily preserve the convexity. Thus, the problems we consider are typically not provably convex. As such, the conditional value-at-risk (CVaR) approximation is often used to handle such problems. Even though the CVaR approximation is known as t...

This paper investigates technology adoption and continued use as consumption behavior instead of through the traditional innovation/diffusion/acceptance frameworks. Building on consumer research we introduce the Theory of Consumption Values (TCV) to IS research in order to understand the underlying values and motives of technology usage. Data was collected through interviews, focus groups, and ...

We are interested in belief revision involving conditional statements where the antecedent is almost certainly false. To represent such problems, we use Ordinal Conditional Functions that may take infinite values. We model belief change in this context through simple arithmetical operations that allow us to capture the intuition that certain antecedents can not be validated by any number of obs...

There are many kinds of computer system that are intended to support users in performing an exploration among a range of possible results. However, such tools often allow only narrow progress through the result space, forcing users to trade off the breadth of search they would like to pursue against the time and effort required. The aim of the ‘subjunctive interface’ concept is to make broader ...

The shape and evolution of firm size distribution has been studied in industrial organization and labor economics. The standard hypothesis of Gibrat’s law of proportionate effect posits that the rate of firm growth is size-independent. We test Gibrat’s law using a new empirical methodology and considering the underinvestigated Brazilian case. Quantile regression is used to estimate the evolutio...

Service organizations increasingly create new service offerings that are the result of collaborative arrangements operating on a value network level. This leads to the notion of “elevated service offerings,” our definition of service innovation, implying new or enhanced service offerings that can only be eventuated as a result of partnering, and one that could not be delivered on individual org...

In this paper we propose a consistent Integrated Conditional Moment (ICM) test of the functional form of a conditional heteroskedasticity model, for example a GARCH specification, which is asymptotically independent of the ICM test of the specification of the underlying conditional expectation model, under the null hypothesis that both models are correctly specified.

Materials and methods A Binary Probit model ws used to measure the participation in work force and a two-stage Heckman model to measure worked h and productivity. Each model is estimated separately for both gender individuals, with and without disease, according three distinct definitions for DM: Restrict, Broad and Comorbidities. To capture the counterfactual effect, the model was calculated f...