Purpose: Counterfeiting is a menace in the emerging markets and many successful brands are falling prey to it. Counterfeit brands not only deceive consumers but also fuel a demand for lower priced replicas, both of which can devalue the bona-fide brand. But can consumers accurately identify a...

We assume that some consistent estimator of an equilibrium relation between non-stationary fractionally integrated series is used in a first step to compute residuals (or differences thereof). We propose to apply the semiparametric log-periodogram regression to the (differenced) residuals in...

We consider statistical inference in the presence of serial dependence. The main focus is on use of statistics that are constructed as if no dependence were believed present, and are asymptotically normal in the presence of dependence. Typically the variance in the limit distribution is affected...

This article proposes goodness-of-fit tests for dynamic regression models, where regressors are allowed to be only weakly exogenous and arbitrarily correlated with past shocks. The null hypothesis is stated in terms of the lack of serial correlation of the errors of the model. The tests are...

We consider cointegration rank estimation for a p-dimensional Fractional Vector Error Correction Model. We propose a new two-step procedure which allows testing for further long-run equilibrium relations with possibly different persistence levels. The first step consists in estimating the...

Purpose: With trade amounting to more than US$400bn, counterfeiting is already affecting many successful brands. Often, consumers are deceived into buying fake products due to the visual similarity between fake and original brand logos. This paper aims to explore the varying forms of fraudulent...