J. Joseph Beaulieu () (Division of Research and Statistics, Board of Governors of the Federal Reserve System, Washington) Eric J. Bartelsman () (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)
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The purpose of this paper is to build consistent, 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 GDP or GDI and compare the two in order to see where the discrepancy resides. We find a few “problem” industries that appear to explain most of the statistical discrepancy. Second, we explore what combination of the expenditure data and the income data seem to produce the most sensible data according to a few economic criteria. A mixture of data that do not aggregate either to GDP or to GDI appears optimal.
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Find related papers by JEL classification: C67 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Input-Output Models C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
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