This paper studies the evolution of three historical time series on skill premiums in the United States during the major part of the 19th and 2oth century. A descriptive analysis leads us to asses the existence of a systematic relation between the series and the inflation rate, pointing towards...

We suggest a simple non model based procedure to recover a time series from its temporally aggregated realizations. If additional assumptions on the under lying process are intorduced, it is shown that the procedure is related to many of the former proposals in the literature. It can also be...

We propose a simple intertemporal model of output and current account dynamics that we estimate using a cointegrated VAR approach. We suggest a method for identifying global and country-specific shocks from the VAR and test it, using cross-country evidence.

This paper deals with the existence of a common European growth cycle and its identification. Based on the analysis of some descriptive statistics in the time and frequency domain there is clear evidence of comovement in output growth among European countries.

Fractionally integrated ARMA (ARFIMA) models are investigated in an Extended version of Nelson and Plosser's (1982) data set.

There is a wide literature on the dynamic adjustment of employment and its relationship with the business cycle. Our aim is to propose a statistical model that offers a congruent representation of post-war US employment and output data. We use a cointegrated vector autoregressive...

Using a small VAR of the current account and investment, we identify two categories of shocks: permanent vs. transitory and country-specific vs. global. Our approach involves only the most minimal identifying assumption. Using data from the G7n countries, we find that the predictions of the...