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Reconciliation of National Income and Expenditure - Balanced Estimates of National Income for the United Kingdom, 1920-1990... Reconciliation of National Income and Expenditure - Balanced Estimates of National Income for the United Kingdom, 1920-1990 (Paperback)
James Sefton, Martin Weale
R1,034 Discovery Miles 10 340 Ships in 12 - 17 working days

This book was first published in 1995. The problem of disparities between different estimates of GDP is well known and widely discussed. Here, the authors describe a method for examining the discrepancies using a technique allocating them with reference to data reliability. The method enhances the reliability of the underlying data and leads to maximum-likelihood estimates. It is illustrated by application to the UK national accounts for the period 1920-1990. The book includes a full set of estimates for this period, including runs of industrial data for the period 1948-1990, which are longer than those available from any other source. The statistical technique allows estimates of standard errors of the data to be calculated and verified; these are presented both for data in levels and for changes in variables over 1-, 2- and 5-year periods.

Reconciliation of National Income and Expenditure - Balanced Estimates of National Income for the United Kingdom, 1920-1990... Reconciliation of National Income and Expenditure - Balanced Estimates of National Income for the United Kingdom, 1920-1990 (Hardcover, New)
James Sefton, Martin Weale
R3,412 Discovery Miles 34 120 Ships in 12 - 17 working days

The problem of disparities between different estimates of GDP is, according to this text, well-known and widely discussed. Here, the authors describe a method for examining the discrepancies using a technique allocating them with reference to data reliability. The method enhances the reliability of the underlying data and leads to maximum-likelihood estimates. It is illustrated by application to the UK national accounts for the period 1920-1990. The book includes a full set of estimates for this period, including runs of industrial data for the period 1948-1990 which are longer than those available from any other source. The statistical technique allows estimates of standard errors of the data to be calculated and verified; these are presented both for data in levels and for changes in variables over one-, two- and five-year periods. A disk with the dataset in machine readable form is available separately.

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