MASSIMO FRANCHI AND PAOLO PARUOLO PRELIMINARY VERSION Abstract. This paper presents an additive decomposition of the moving average representation of VAR processes into cyclical components. We give a de nition of cyclical component that encompasses seasonal components as well as (stationary) long-run and short-run uctuations. Each cyclical component is univariate and is characterized by a spect...

The primary purpose of this paper is to construct and estimate an econometric model for the Jonsei-to-Purchase price ratio (JPR), and to draw implications for the development in the Korean housing market. In particular, we are interested in: a) identifying regimes across which the ratio shows markedly different dynamic behavior; and b) drawing implications from the model for the recent increase...

contraceptives. Significant increases in macroglobulin, transferrin, and IgG were found but albumin was unchanged. The purpose of the present experiment was to determine whether the oestrogen or progestogen component was responsible for these changes. Two groups of 14 healthy females were given either 50 mg oestrogen (mestranol) or 1 mg progestogen (ethynodiol diacetate) daily for three weeks. ...

Real Wage Cyclicality in Germany and the UK: New Results Using Panel Data This paper compares the cyclical behaviour of male real wages in Germany and the UK using the German Socio-Economic Panel 1984-2002 and the British Household Panel Survey 1991-2004. We distinguish between job stayers (remaining in the same job), and withinand between-company job movers. Stayers are the large majority in b...

This paper takes a look at the questions surrounding analysis of sales volume forecast light weight vehicle selected Makes/Brands in Russian Market, taking into consideration rating distribution customer satisfaction. The link between changes and fluctuations LWV combination with cyclical processes level economic activity is being considered.

We have recently introduced an incremental learning algorithm, Learn.NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Learn.NSE is an ensemble of classifiers approach, training a new classifier on each consecutive batch of data that become available, and combining them through an age-adjusted dynamic error based weighted majority voting. ...