A new multivariate product growth model

To examine cross-country diffusion new products, marketing researchers have to rely on a multivariate product growth model. We put forward such a model, and show that it is a natural extension of the original Bass (1969) model. We contrast our model with currently in use multivariate models and we show that inference is much easier and inter- pretation is straightforward. Especially if the number of countries is larger than two. In fact, parameter estimation can be done using standard commercially available software. We illustrate the beneffits our model relative to other models in simulation experiments. These experiments show that in the competing models the cross-country effects are actu- ally very difficult o identify from the data. An application to a three-country CD sales series shows the merits of our model in practice. Keywords: Diffusion, international marketing, econometric models JEL: M31, C3

Cointegration in a historical perspective

We analyse the impact of the Engle and Granger (1987) article by its citations over time, and find evidence of a second life starting in the new millennium. Next, we propose a possible explanation of the success of this citation classic. We argue that the conditions for its success were just right at the time of its appearance, because of the growing emphasis on time-series properties in econometric modelling, the empirical importance of stochastic trends, the availability of sufficiently long macro-economic time series, and the availability of personal computers and econometric software to carry out the new techniques. Key words: Cointegration, citation

A New Multivariate Product Growth Model

To examine cross-country diffusion of new products, marketing researchers have to rely on a multivariate product growth model. We put forward such a model, and show that it is a natural extension of the original Bass (1969) model. We contrast our model with currently in use multivariate models and we show that inference is much easier and interpretation is straightforward. In fact, parameter estimation can be done using standard commercially available software. We illustrate the benefits of our model relative to other models in simulation experiments. An application to a three-country CD sales series shows the merits of our model in practice

Unit roots in periodic autoregressions

Abstract. This paper analyzes the presence and consequences of a unit root in periodic autoregressive models for univariate quarterly time series. First, we consider various representations of such models, including a new parametrization which facilitates imposing a unit root restriction. Next, we propose a class of likelihood ratio tests for a unit root, and we derive their asymptotic null distributions. Likelihood ratio tests for periodic parameter variation are also proposed. Finally, we analyze the impact on unit root inference of misspecifying a periodic process by a constant-parameter model

Dordt College 2003-2004 Catalog

Academic Catalog for 2003-04https://digitalcollections.dordt.edu/academic_catalogs/1012/thumbnail.jp

How Can Consumer Research Contribute to Increased Understanding of Tourist Experiences? A Conceptual Review

Author's accepted version (postprint).This is an Accepted Manuscript of an article published by Taylor & Francis in Scandinavian Journal of Hospitality and Tourism on 24/07/2015, available online: http://wwww.tandfonline.com/10.1080/15022250.2015.1065591