Comparing Two Sources of Retail Meat Price Data
The livestock industry uses information on meat prices at different stages in the marketing system to make production decisions. When grocery stores began using electronic scanners to capture prices paid for meat, it was assumed that the livestock industry could capitalize on having these point-of-sale data available as a measure of the value of its products. This report compares scanner price data with publicly available data collected by the U.S. Department of Labor’s Bureau of Labor Statistics (BLS). Of the two data types, scanner data provide more information about retail meat markets, including a wider variety of meat-cut prices, multiple measures of an average price, the volume of sales, and the relative importance of discounted prices. The scanner data sample, however, is not statistically drawn, and complicated processing requirements delay its release, which makes scanner data less useful than BLS data for analyzing current market conditions.
|Date of creation:||Nov 2009|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.ers.usda.gov/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Reint Gropp & Arjan Kadareja, 2012.
"Stale Information, Shocks, and Volatility,"
Journal of Money, Credit and Banking,
Blackwell Publishing, vol. 44(6), pages 1117-1149, 09.
- Gropp, Reint & Kadareja, Arjan, 2006. "Stale information, shocks and volatility," Working Paper Series 0686, European Central Bank.
- Gropp, Reint & Kadareja, Arjan, 2007. "Stale information, shocks and volatility," ZEW Discussion Papers 07-012, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Durbin, James & Koopman, Siem Jan, 2001.
"Time Series Analysis by State Space Methods,"
Oxford University Press, number 9780198523543, July.
- Tom Doan, . "SEASONALDLM: RATS procedure to create the matrices for the seasonal component of a DLM," Statistical Software Components RTS00251, Boston College Department of Economics.
When requesting a correction, please mention this item's handle: RePEc:ags:uersrr:55958. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.