Estimation of Industry Distribution of Statistical Discrepancy in National Accounts
AbstractGross domestic product (GDP) and gross domestic income (GDI), though conceptually equivalent, differ by statistical discrepancy (SD). Currently, there are no estimates of SD by industry. Lack of such information hinders a proper understanding of the sources of inconsistency in the national account and makes it difficult to identify improvements needed to minimize SD. This paper describes and illustrates an estimation method that can correctly estimate industry distribution of SD according to the reliability of the initial estimates, and that can accurately reconcile GDI by industry account and Input-Output (I-O) account which measures GDP as value-added by industry. The reconciliation model is described by a constrained optimization model which minimizes the weighted sum of squares of deviation from the initial estimates in all components of I-O and GDI by industry accounts. The optimal solution is equivalent to estimates from generalized least square estimation. Data used in estimation are from BEAâ€™s 1997 I-O and GDI by industry accounts
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Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 401.
Date of creation: 04 Jul 2006
Date of revision:
Data reconciliation; statistical discrepency; solving large macro models;
Find related papers by JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
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