Integrating Expenditure and Income Data: What to Do with the Statistical Discrepancy?
In: A New Architecture for the U.S. National Accounts
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- Eric J. Bartelsman & J. Joseph Beaulieu, 2004. "Integrating expenditure and income data: what to do with the statistical discrepancy?," Finance and Economics Discussion Series 2004-39, Board of Governors of the Federal Reserve System (U.S.).
- J. Joseph Beaulieu & Eric J. Bartelsman, 2004. "Integrating Expenditure and Income Data: What to do with the Statistical Discrepancy?," Tinbergen Institute Discussion Papers 04-078/3, Tinbergen Institute.
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- Baoline Chen, 2012. "A Balanced System of U.S. Industry Accounts and Distribution of the Aggregate Statistical Discrepancy by Industry," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 202-211, February.
More about this item
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
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