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Learn About Time Series ACF and PACF in Stata With Data From the USDA Feed Grains Database (1876–2015)

By: , & Published: 2020 | Product: SAGE Research Methods Datasets Part 1

This dataset is designed for teaching how to plot an autocorrelation function (ACF) and a partial autocorrelation function (PACF) for a single time series variable. The dataset is a subset of data derived from the U.S. Department of Agriculture (USDA) Database, and the example examines trends in annual oats yield per acre in bushels from 1876 to 2015. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Stata. The Student Guide and data curation was done by the Odum Institute; the How-to Guide was coauthored by Abigail-Kate Reid and Nick Allum.

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You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.

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