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Simultaneous Reconciliation of a Large Disaggregated Time Series of Accounts with an Application to the U.S. Input-Output Accounts Baoline Chen1 Tommaso Di Fonzo2 Thomas Howells1 Marco Marini3 1BEA – Bureau of Economic Analysis 2University of Padova, Department of Statistical Sciences 3International Monetary Fund Statistics Department 2nd Conference of the Society of Economic Measurement July 22~24, Paris, France
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Outline of the Presentation
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Motivation: A Practical Problem at National Accounts
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Reconciliation Problems Preliminary Values, Linear Constraints in a System of Time Series
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Statistical Reconciliation Minimize a Quadratic Constrained Minimization Function
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Movement Preservation Principle Denton (1971), Cholette (1979), and Helfand, et al. (1977)
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Simultaneous Solution Adjusting All Periods and All Variables at the Same Time
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Reliability of Data, Alterability Coefficients Considering the Reliability of Variables in the Adjustment
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Reconciliation of the U.S. Annual IO Accounts
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BEA’s Solution for Reconciling Input-output Accounts Multi-step Procedure
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Our Approach
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The Reconciliation Problem Some Details and Dimensions of the Problem
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Notation: Benchmark and Annual IO Accounts
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Notation: Input vector and constraints
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The Reconciliation Problem Aggregation Matrix, Exogenous and Endogenous Constraints
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Adjustment Criterion: PFD and PROP Multivariate Denton PFD and proportional adjustment procedure
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A Combined Criterion: PFD-PROP Bikker et al (2013)
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Analysis of Discrepancies Temporal and Contemporaneous Constraints
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Discrepancies by industry Aggregated from 830 industries at 6-digit NAICS to 65 industries at 3-digit NAICS level of detail
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Discrepancies of 12 Major Industries and 13 Major Commodities Aggregated from disaggregated preliminary data (in $)
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Exercise in This Study
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Main Results Focus on 43 Major Aggregates
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Assessment of Results Levels
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Assessment of Results Growth Rates
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Main Results: Performance of PFD, PROP and PFD-PROP
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Comparison of PFD, PROP and PFD-PROP Summary Measure of Adjustment
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Comparison of PFD, PROP and PFD-PROP Reconciliation at Disaggregated and Aggregated levels using PROP
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Comparison of PFD, PROP and PFD-PROP Reconciliation at Disaggregated and Aggregated levels using PFD
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Comparison of PFD, PROP and PFD-PROP Reconciliation at Disaggregated and Aggregated levels using PFD-PROP
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Comparison of PFD, PROP and PFD-PROP Reconciliation at Disaggregated and Aggregated Levels
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Conclusion and Further Development
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Thank you for your attention!
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