This paper estimates the relationship between the choice of website and the characteristics of the individual making this choice. What explain consumer website choice and is this consumer loyal to the same website? This paper approaches this question by modelling individual’s website...

This paper describes a way of recording information on discrete states by means of a technique called key transformation. This involves recognising that, where N discrete states of a variable are observed T groups or periods, any particular combination of states and periods can be uniquely...

This paper investigates the finite-sample behaviour of sovereign credit migration estimators and analyzes the properties of the rating process. Through bootstrap simulations, we compare a discrete multinomial estimator and two continuous hazard rate methods which differ in that one neglects...

This paper analyses the asymptotic and finite sample implications of different types of nonstationary behavior among the dependent and explanatory variables in a linear spurious regression model. We study cases when the nonstationarity in the dependent and explanatory variables is deterministic...

Gross domestic product (GDP) and gross domestic income (GDI), though conceptually equivalent, differ by statistical discrepancy (SD). Currently, there are no estimates of SD by industry. Lack of such information hinders a proper understanding of the sources of inconsistency in the national...

The authors structurally estimate and evaluate, for the U.S., the E.U., and Canada, various classes of recently-proposed Calvo-type models, using identification-robust methods. The models differ in their assumptions regarding price indexation (when firms cannot re-optimize their pices), in the...

This paper shows how a high level matrix programming language may be used to perform Monte Carlo simulation, bootstrapping, estimation by maximum likelihood and GMM, and kernel regression in parallel on symmetric multiprocessor computers or clusters of workstations. The implementation of...

Time series estimates of inflation persistence incur an upward bias if shifts in the inflation target of the central bank remain unaccounted for. Using a structural time series approach we measure different sorts of inflation persistence allowing for an unobserved time-varying inflation target....

I show that the QML procedure, used in many papers in the current literature to estimate the CIR model from time series data, is based on an approximation of the latent factors' density that becomes very inaccurate for typical parameter values. I also argue that this issue is not addressed by...