Benchmarking of QNA and XXX Sample Clauses

Benchmarking of QNA and XXX. In Polish national accounts for certain variables the annual estimates are simply the sum of the quarterly figures, for example: exports, imports, changes in inventories. In this case there is no need to benchmark annual data. But in many cases, especially for those variables for which no quarterly data have been collected, there are annual surveys which influence quarterly estimates done before these surveys. In Polish practice of alignment quarterly and annual figures manual approach is used. For each quarter of the year the ratio of the annual to the sum of the quarterly data is calculated. These ratios are then applied to the original quarterly series. To achieve balanced accounts the discrepancies appeared in cross - section dimension after applying above ratios are balance “by eye” with the use of expertise, intuition of compilers. They have wide perspective on the national accounts and have the knowledge how the economy is behaving. First estimates of the year, which is the sum of four quarters is revised twice, i.e. in t+1 year and t+2 year. It influences quarterly data. A table below contains two versions of quarterly data in 2006: first estimates and after first revision of annual data – revised manually and with use of Ecotrim. Items First estimates Revised manually Revised with Ecotrim GDP 105,5 106,0 106,3 106,6 105,4 106,3 106,6 106,6 104,0 105,7 106,3 108,5 Private consumption exp. 105,3 104,7 105,5 105,0 105,0 104,4 105,2 104,7 104,7 104,3 105,1 105,3 Public consumption expen d1.06,6 103,4 103,0 102,6 108,6 105,3 104,9 104,5 106,6 104,9 105,1 106,6 Gross fixed capital formati o1n07,6 114,5 119,3 119,3 109,0 115,9 118,0 116,6 104,9 113,1 118,2 119,5 Inventories 81,4 -89,8 57,5 146,9 84,8 92,1 114,8 349,7 94,9 96,6 127,2 284,7 Exports 121,7 112,5 114,5 110,6 122,4 112,8 114,6 110,1 121,0 112,4 114,6 111,7 Imports 121,3 110,7 115,9 116,0 123,7 112,7 116,6 117,5 123,4 112,5 117,8 116,8 In the third column, there are growth rates calculated on the basis of data computed by Ecotrim. These data were compiled in the following way: 1. In the first step new annual data at constant prices of previous year were disaggregated with related series (first estimates of quarterly data). AR(1) procedure was applied. These new time series (preliminary time series) fulfill temporal aggregation constraints. 2. In the second step multivariate method was used. Preliminary time series were disaggregated to fulfill not only temporal but also contemporaneous constrai...