| Autor: |
Josef Kozák, Richard Hindls, Stanislava Hronová |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Austrian Journal of Statistics, Vol 31, Iss 2&3 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
1026-597X |
| DOI: |
10.17713/ajs.v31i2&3.481 |
| Popis: |
The contemporary practice used for determination of quarterly values of GDP comes out to prevailing extent from exhaustive surveys. This approach is demanding from the time, labour and financial points of view. Therefore, so-called indirect methods become increasingly important at present. Here the quarterly value of certain aggregates is estimated using a regression model of time series, in which a short-timely determined indicator enters as explaining variable. As for explained variable, there are only yearly values at our disposal in this model. The contribution deals with a specific approach to parameter estimation of such a regression model and with possibilities of its use under conditions of Czech statistics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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