Testing for Unit Root Against Stationarity Using the Likelihood Ratio Test

In a first-order autoregressive model with drift, we derive the likelihood ratio test for a unit root against the stationary alternative. We also derive the test in a state space model with trend. Finite sample and asymptotic critical values are obtained by Monte Carlo simulations. A simulation study investigates the power performance of the likelihood ratio test and we also examine how a bias correction of the test affects the results.     

Communication after an integrity-based trust violation: How organizational account giving affects trust

How can an organization repair trust through communication after an ethical failure? This study examines how trust is repaired after an integrity-based trust violation using three different accounts: apology, excuse, and refusal. In our approach, we rely on two strands of attribution theory, which suggests that different attributions for responsibility and credibility affect trust. An experiment with n = 368 was conducted to explore trust repair effectiveness of apology versus refusal and apology versus excuse after an integrity-based trust violation. Results revealed apology as a double-edged sword; it repairs trust more successfully than refusal and excuse because it is evaluated as more credible. However, it is less successful than refusal and excuse because it is evaluated as more responsible.     

Posing the Question: Visitor Posing as Embodied Interpretation in an Art Museum

This article identifies and explores posing by visitors to an art gallery as a unique meaning making activity. Conducted as a design experiment in partnership with a national art museum, this study builds on theoretical perspectives related to gesture and embodiment. Empirical findings suggest that particular posing activities function simultaneously to mediate internally and externally oriented processes of interpretation in encounters with art. Accordingly, these complex posing practices may be viewed as an integrated part of visitors’ meaning making experiences. Implications for this research include expanding our understanding of the roles of the body in visitor’s museum experiences.     

A flexible model for the pricing of perishable assets

We present a flexible and versatile model which addresses the problem of assigning optimal prices to assets whose value becomes zero after a fixed expiry date. (Such assets include the important example of seats on airline flights.) Our model is broad in scope, in particular encompassing the ability to deal with arrivals of customers in groups. It is highly adaptable and can be adjusted to deal with a very extensive set of circumstances.Our approach to the problem is based on elementary and intuitively appealing ideas. We model the arrival of customers (or groups of customers) according to an inhomogeneous Poisson process. We incorporate into the model time dependent price sensitivity (which may also be described as “time dependent elasticity of demand”). In this setting the solution to the asset pricing problem is achieved by setting up coupled systems of differential equations which are readily amenable to numerical solution via (for instance) a vectorised Runge-Kutta procedure. An attractive feature of our approach is that it unifies the treatment of discrete and continuous prices for the assets.     

A new monotonic, clone-independent, reversal symmetric, and condorcet-consistent single-winner election method

In recent years, the Pirate Party of Sweden, the Wikimedia Foundation, the Debian project, the “Software in the Public Interest” project, the Gentoo project, and many other private organizations adopted a new single-winner election method for internal elections and referendums. In this article, we will introduce this method, demonstrate that it satisfies, e.g., resolvability, Condorcet, Pareto, reversal symmetry, monotonicity, and independence of clones and present an O(C^3) algorithm to calculate the winner, where C is the number of alternatives.     

Relative Deprivation and Intergroup Prejudice

Using three diverse European surveys, we test the relationship between relative deprivation (RD) and anti-immigrant prejudice. We find that both group relative deprivation (GRD) and individual relative deprivation (IRD) are found primarily among working-class respondents who are politically alienated. We also find that GRD, but not IRD, serves as a proximal correlate of prejudice. IRD's effects on prejudice are largely mediated through GRD. In addition, GRD partially mediates the effects of such distal predictors of prejudice as education and family income. Finally, blaming the victim mediates in part the GRD link with prejudice. These results lead to a socially situated path model of RD's effects on prejudice with public policy implications.     

Practical Maximum Pseudolikelihood for Spatial Point Patterns(with Discussion)

This paper describes a technique for computing approximate maximum pseudolikelihood estimates of the parameters of a spatial point process. The method is an extension of Berman & Turner's (1992) device for maximizing the likelihoods of inhomogeneous spatial Poisson processes. For a very wide class of spatial point process models the likelihood is intractable, while the pseudolikelihood is known explicitly, except for the computation of an integral over the sampling region. Approximation of this integral by a finite sum in a special way yields an approximate pseudolikelihood which is formally equivalent to the (weighted) likelihood of a loglinear model with Poisson responses. This can be maximized using standard statistical software for generalized linear or additive models, provided the conditional intensity of the process takes an 'exponential family' form. Using this approach a wide variety of spatial point process models of Gibbs type can be fitted rapidly, incorporating spatial trends, interaction between points, dependence on spatial covariates, and mark information.