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Learn About Time Series Cross-Correlations in SPSS With Data From the USDA Feed Grains Database (1876–2015)

By: Published: 2017 | Product: SAGE Research Methods Datasets Part 1

This dataset is designed to teach how to estimate cross-correlations between two time series variables. The dataset is a subset of data derived from the United States Department of Agriculture (USDA) Database, and the example examines the cross-correlation between the average annual prices per bushel for barley and oats in the United States from 1876 to 2015. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.

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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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