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2010•RePEc: Research Papers in EconomicsOpen access

Methodology Behind the Quarterly Food-at-Home Price Database

Jessica Erin Todd, Lisa Mancino, Ephraim S. Leibtag, Christina Tripodo, Todd, Jessica E., Mancino, Lisa, Leibtag, Ephraim S., Tripodo, Christina

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Abstract

The Quarterly Food-at-Home Price Database (QFAHPD) was developed to provide market-level food prices that can be used to study how prices affect food choices, intake, and health outcomes. This report presents a detailed description of the methodology used to construct the QFAHPD. The database, constructed from 1999-2006 Nielsen Homescan data, includes quarterly observations on the mean price of 52 food categories for 35 market groups covering the contiguous United States. Data from 2006 indicate that cross-market price variation can be as much as three to four times greater than annual food price inflation.

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The Quarterly Food-at-Home Price Database (QFAHPD) was developed to provide market-level food prices that can be used to study how prices affect food choices, intake, and health outcomes. This report presents a detailed description of the methodology used to construct the QFAHPD. The database, constructed from 1999-2006 Nielsen Homescan data, includes quarterly observations on the mean price of 52 food categories for 35 market groups covering the contiguous United States. Data from 2006 indicate that cross-market price variation can be as much as three to four times greater than annual food price inflation.

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Available abstract

The Quarterly Food-at-Home Price Database (QFAHPD) was developed to provide market-level food prices that can be used to study how prices affect food choices, intake, and health outcomes. This report presents a detailed description of the methodology used to construct the QFAHPD. The database, constructed from 1999-2006 Nielsen Homescan data, includes quarterly observations on the mean price of 52 food categories for 35 market groups covering the contiguous United States. Data from 2006 indicate that cross-market price variation can be as much as three to four times greater than annual food price inflation.

Key concepts: Food prices, Inflation (cosmology), Construct (python library), Economics, Database, Econometrics, Market price, Reference price

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