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Robert Brown and Ann Dunbar of BEA also contributed to this paper. This paper has been prepared for presentation to the Federal Economic Statistics Advisory Committee (FESAC) on December 14, 2004. It represents work in progress and does not represent any agency’s final positions on issues addressed. The FESAC is a Federal Advisory Committee sponsored […]
BEA BENCHMARK AND CENSUS OF AGRICULTURE The BEA Benchmark I-O tables provide us with Output, Employee Compensation (EC), and Gross Operating Surplus (GOS) by IMPLAN Sector. They also provide us with production functions for each IMPLAN Sector. The data is available for all 14 farm Sectors. However, the data does not separate GOS into its […]
There are several sectors that are not covered by the CEW data that require different data points and additional techniques to capture. These special Sectors include the following: Farm sectors Construction sectors Government sectors FARM SECTORS Output The primary data sources for state-level agricultural output by sector are the NASS Value of Production and […]
Release notes from IMPLAN’s historical data releases. Data years 2009 & 2011 did not have noteworthy changes. Time Series Time Series Release Notes IMPLAN’s new Time Series Data product was produced using our latest methodologies, which have been honed over the past 20 years of data development. A few special tactics were required for some […]
When creating our data, we use Bureau of Labor Statistics (BLS) Covered Employment and Wages data (also known as CEW, QCEW and ES202) as our benchmark as it is widely accepted and provides a broad spectrum of coverage for all wage and salary employment. It is also a means of capturing the most current data […]
To view the commuting data for your region, go to Explore > Social Accounts > IxC Social Accounting Matrix. If the Employee Compensation column makes a payment to the Domestic Trade row, then there is net in-commuting into the region (more income earned by workers who work in the area and live outside the area […]
After the data are collected and compiled, it is necessary to balance the SAM table. Balancing is accomplished by making adjustments in the foriegn trade and capital accounts. This is done by the software during the model building process. Balancing of households can serve as an example. Households receive income from industries and institutions. With […]
IMPLAN offers a wide variety of data options to meet every user’s local study area needs. Below is a description of the type of data files we offer, so you can easily select which is best to custom design your study. We also include a quick reference table so you can easily visualize whats available […]
INVENTORY For the Manufacturing Sectors, the Annual Survey of Manufactures provides the inventory data. Other sectors’ inventory data are derived from BEA Benchmark I-O ratios. All sectors are controlled to the BEA NIPA accounts for the current data year. National values are distributed to states and counties on the basis of total industry output. CAPITAL […]
There are three primary datasets containing non-disclosed elements that are used to estimate IMPLAN employment and labor income data: The BLS’ Quarterly Census of Employment & Wages (QCEW), the BEA’s Regional Economic Accounts (REA), and the Census Bureau’s County Business Patterns (CBP). Therefore, in order to complete the IMPLAN database, the non-disclosed values must be estimated and […]
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