Increasing the Timeliness of U.S. Annual I-O Accounts

The timeliness of the U.S. input-output (I-O) accounts is a major concern for policymakers and industry analysts, as well as academics. In response, the Bureau of Economic Analysis initiated research in 2001 to identify, develop and implement an estimating method for producing more timely and reliable annual I-O accounts than are currently available. The research included reviewing the frameworks and methods currently used by other statistical agencies and academic researchers, obtaining more timely industry source data, and developing enhanced methods and processes for the automated updating and balancing of annual I-O tables. The results of this research indicate that our new automated updating and balancing method can reduce time lag for producing the annual I-O accounts from three years to one year without reducing quality. Our method is based on an adjusted RAS process that simultaneously balances the I-O table in producers’ and purchasers’ prices; uses more exogenous data; and processes tables at the most detailed level.

Integrating Industry and National Economic Accounts: First Steps and Future Improvements

The integration of the annual I-O accounts with the GDP-by-industry accounts is the most recent in a series of improvements to the industry accounts provided by the BEA in recent years. BEA prepares two sets of national industry accounts: The I-O accounts, which consist of the benchmark I-O accounts and the annual I-O accounts, and the GDPby- industry accounts. Both the I-O accounts and the GDP-by-industry accounts present measures of gross output, intermediate inputs, and value added by industry. However, in the past, they were inconsistent because of the use of different methodologies, classification frameworks, and source data. The integration of these accounts eliminated these inconsistencies and improved the accuracy of both sets of accounts. The integration of the annual industry accounts represents a major advance in the timeliness, accuracy, and consistency of these accounts, and is a result of significant improvements in BEA's estimating methods. The paper describes the new methodology, and the future steps required to integrate the industry accounts with the NIPAs. The new methodology combines source data between the two industry accounts to improve accuracy; it prepares the newly integrated accounts within an I-O framework that balances and reconciles industry production with commodity usage. Moreover, the new methodology allows the acceleration of the release of the annual I-O accounts by 2 years and for the first time, provides a consistent time series of annual I-O accounts. Three appendices are provided: A description of the probability-based method to rank source data by quality; a description of the new balancing produced for producing the annual I-O accounts; and a description of the computation method used to estimate chaintype price and quantity indexes in the GDP-by-industry accounts.

From Make-Use to Symmetric I-O Tables: An Assessment of Alternative Technology Assumptions

Since the United Nations introduced the nonsymmetrical make-use input-output (I-O) tables in 1968, there have been on-going discussions about ways to translate them into symmetric I-O tables. The discussions have focused on secondary products that cause the asymmetry between industries and commodities and two alternative assumptions, the industry-technology assumption (ITA) and the commodity-technology assumption (CTA), which have been used for their transfer between industries. Despite much debate and discussion over the years, no definitive consensus has emerged as to which is superior. For the 1992 Benchmark I-O Tables, the BEA prepared and published two sets of make-use tables, which provide alternative presentations of a large subset of secondary products. For one set of tables, the outputs and inputs of secondary products with distinctive production processes compared to those of primary products produced by industries were moved “by hand” to where they are primary, using the CTA. In this paper, the authors use the two formats to compare the different results of using two assumptions to derive symmetric I-O tables. The differences are then evaluated.