can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to … discrepancy resides. We find a few “problem” industries that appear to explain most of the statistical discrepancy. Second, we …

appear to explain most of the statistical discrepancy. Second, we explore what combination of the expenditure data and the …, integrated datasets to investigate whether various disaggregated data can shed light on the possible sources of the statistical … discrepancy. Our strategy is first to use disaggregated data to estimate consistent sets of input-output models that sum to either …

can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to … discrepancy resides. We find a few “problem” industries that appear to explain most of the statistical discrepancy. Second, we …

can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to … discrepancy resides. We find a few “problem” industries that appear to explain most of the statistical discrepancy. Second, we …

The statistical discrepancy is often used to gauge the reliability of national accounts data. Particularly since the … mid-1980’s the statistical discrepancy in Australia has grown significantly in size and variance. In this paper we … demonstrate that the overwhelming contribution to the size of the statistical discrepancy is mismeasurement of private investment …

The statistical discrepancy is often used to gauge the reliability of national accounts data. Particularly since the … mid-1980's the statistical discrepancy in Australia has grown significantly in size and variance. In the paper we … demonstrate that the overwhelming contribution to the size of the statistical discrepancy is mismeasurement of private investment …