Search for content and authors
 

Almost Periodically Correlated Time Series in Business Fluctuations Analysis

Mateusz Pipień 1,2Łukasz Lenart 

1. Cracow University of Economics (CUOE), Rakowicka 27, Kraków 31-510, Poland
2. Narodowy Bank Polski (NBP), Świętokrzyska, Warszawa 00-919, Poland

Abstract

We propose a non-standard subsampling procedure in or der to make formal statistical inference about the business cycle, one of the most important unobserved feature char acterising fluctuations of economic growth. We show that some characteristics of business cycle can be modelled in a non-parametric way by discreet spectrum of the Almost Periodically Correlated (APC) time series. On the basis of estimated characteristics of this spectrum it is possible to extract business cycle by filtering. On the basis of our results we characterise the man properties of business cycles in industrial production index for Polish economy.

 

Legal notice
  • Legal notice:
 

Related papers

Presentation: Oral at 6 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych", by Mateusz Pipień
See On-line Journal of 6 Ogólnopolskie Sympozjum "Fizyka w Ekonomii i Naukach Społecznych"

Submitted: 2012-01-15 19:47
Revised:   2012-01-15 19:48