Convergence in cross country per capita carbon emission rates is an important concept the climate change debate. This paper provides an empirical analysis of emissions per capita convergence. This analysis is crucial to the assessment of projection models that generate convergence in emission...

The paper deals with estimation of missing observations in possibly nonstationary ARIMA models. First, the model is assumed known, and the structure of the interpolation filter is analysed. Using the inverse or dual autocorrelation function it is seen how estimation of a missing observation is...

The paper contains some implications for applied econometric research. Two important ones are, first, that invertible models, such as AR or VAR models, cannot in general be used to model seasonally adjusted or detrended data. The second one is that to look at the business cycle in detrended...

This paper poses a multivariate test for contagion that distinguishes between vulnerability, positive and negative contagion. The model proides a time series of contagion with which the existence, severity and significance of crisis periods can be endogenously determined. Eleven stock markets...

This paper evaluates how different lengths of entry regulation impact market structure and market performance using a dynamic structural model. We formulate an oligopoly model in the tradition of Ericson and Pakes (1995) and allow entry costs to vary over time. Firms have the opportunity to...

This working paper details unit root tests for monthly series, with the possibility of the stationary part having been generated by an ARMA process. The paper is complemented by an application to the four basic stochastic components of the consumer price index. Test evidences that the long-run...

Using interpolation of the Spanish domestic private consumption deflactor, we review some of the signals extraction techniques, as well as interpolation of time series, i.e. deriving quarterly data from annual data. For the decomposition of a series in its observable components (trend plus...

In this paper we address the issue of the efficient estimation of the cointegrating vector in linear regression models with variables that follow general (higher order and fractionally) integrated processes.

The paper deals with the problem of identifying stochastic unobserved two-component models, as in seasonal adjustment or trend-cycle decompositions. Solutions based on the properties of the unobserved component estimation error are considered, and analytical expressions for the variances and...