. . "174452" . . "Th e presented paper deals with the identifi cation of cyclical behaviour of business cycle from the time and frequency domain perspective. Herewith, methods for obtaining the growth business cycle are investigated \u2013 the fi rst order diff erence, the unobserved component models, the regression curves and fi ltration using the Baxter-King, Christiano-Fitzgerald and Hodrick-Prescott fi lter. In the case of the time domain, the analysis identifi cation of cycle lengths is based on the dating process of the growth business cycle. Th us, the right and left variant of the naive techniques and the Bry-Boschan algorithm are applied. In the case of the frequency domain, the analysis of the cyclical structure trough spectrum estimate via the periodogram and the autoregressive process are suggested. Results from both domain approaches are compared. On their bases, recommendations for the cyclical structure identifi cation of the growth business cycle of the Czech Republic are formulated. In the time domain ana"@en . "Mar\u0161\u00E1lek, Roman" . . "26220" . . "CZ - \u010Cesk\u00E1 republika" . "Time and frequency domain in the business cycle structure" . . . "2"^^ . "7" . "Time and frequency domain in the business cycle structure"@en . "0139-570X" . "Pom\u011Bnkov\u00E1, Jitka" . . . . . "2"^^ . "Time and frequency domain in the business cycle structure" . . . "spektrum, hospod\u00E1\u0159sk\u00FD cyklus, frekven\u010Dn\u00ED dom\u00E9na, \u010Dasov\u00E1 dom\u00E9na"@en . . . . "[BC82D70FA201]" . "15"^^ . . "Time and frequency domain in the business cycle structure"@en . . . "RIV/00216305:26220/12:PU100320" . "2012" . . "Th e presented paper deals with the identifi cation of cyclical behaviour of business cycle from the time and frequency domain perspective. Herewith, methods for obtaining the growth business cycle are investigated \u2013 the fi rst order diff erence, the unobserved component models, the regression curves and fi ltration using the Baxter-King, Christiano-Fitzgerald and Hodrick-Prescott fi lter. In the case of the time domain, the analysis identifi cation of cycle lengths is based on the dating process of the growth business cycle. Th us, the right and left variant of the naive techniques and the Bry-Boschan algorithm are applied. In the case of the frequency domain, the analysis of the cyclical structure trough spectrum estimate via the periodogram and the autoregressive process are suggested. Results from both domain approaches are compared. On their bases, recommendations for the cyclical structure identifi cation of the growth business cycle of the Czech Republic are formulated. In the time domain ana" . "RIV/00216305:26220/12:PU100320!RIV13-GA0-26220___" . "P(ED2.1.00/03.0072), P(EE2.3.20.0007), P(GAP402/11/0570)" . "Agricultural Economics (AGRICECON)" .