PT  - JOURNAL ARTICLE
AU  - Poměnková, Jitka
TI  - Turning points identification of growth business cycle in the Czech republic - an alternative approach
DP  - 2014 Oct 14
TA  - Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
PG  - 123--132
VI  - 57
IP  - 3
AID - 10.11118/actaun200957030123
IS  - 12118516
AB  - The purpose of the paper is to identify GDP growth cycle of the Czech Republic by means of turning points identification using alternative statistical method - non-parametric kernel estimate. Special type of estimate, convolution Gasser-Müller one, is used. An advantage of this approach is possibility to estimate derivations of unknown function, which is suitable especially in the case of turning points searching.For identification of growth business cycle type results of nonparametric estimate of regression function is used. Obtained residuals, growth component, are considered as growth cycle type and are analogically identified. On the basis of nonparametric estimates of growth component derivations (1<sup>st</sup> and 2<sup>nd</sup>) turning points (trough and peak) are identified. At the end, comparison of nonparametric statistical approach with economic turning points identification approach, Canova type, is done.