In this paper, we consider the Cox-type tests of non-nested hypotheses for spatial autoregressive (SAR) models with SAR disturbances. We formally derive the asymptotic distributions of the test statistics. In contrast to regression models, we show that the Cox-type and J-type tests for...

Purpose – Proceeding from studies that, at a general level, identify the extrinsic price cue as a mediator between a wine's perceived and intrinsic merit, the authors aim to report on a tasting‐room experiment conducted to determine the impact of the price cue on sighted ratings across...

Purpose – This study aims to examine country of origin (COO), price and brand effects on Lebanese consumers’ attitudes towards US products and brands while evaluating a low‐involvement product like chocolate. Design/methodology/approach – The research comprised formulation of a detailed...

Abstract Individual-level models (ILMs) are a class of complex, statistical models that are often fitted within a Bayesian framework, and which can be suitable for modeling infectious disease spread. The deviance information criterion (DIC) is a model comparison tool that is appropriate for...

Zusammenfassung Untersuchungen zur Prognosegüte sollten nicht nur Prognosefehler, die auf der Schätzung der Parameter beruhen berücksichtigen, sondern auch solche, die aus der stichprobenabhängigen Auswahl des Prognosemodells resultieren. Wird die Prognosefehlervarianz durch rekursive...

Summary This study presents a first comparative analysis of Lasso-type (Lasso, adaptive Lasso, elastic net) and heuristic subset selection methods. Although the Lasso has shown success in many situations, it has some limitations. In particular, inconsistent results are obtained for pairwise...

Abstract Estimating causal exposure effects in observational studies ideally requires the analyst to have a vast knowledge of the domain of application. Investigators often bypass difficulties related to the identification and selection of confounders through the use of fully adjusted outcome...

Abstract Parametric (polynomial) models are popular in research employing regression discontinuity designs and are required when data are discrete. However, researchers often choose a parametric model based on data inspection or pretesting. These approaches lead to standard errors and confidence...

In this paper, we propose a model-selection approach to testing the expectations theory of the term structure of interest rates. Our method is based on the posterior information criterion (PIC) developed and analyzed by Phillips and Ploberger (1994, 1996) and extended to provide order estimation...