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.
Learn About Time Series ARIMA Models in Stata With Data From the USDA Feed Grains Database (1876–2015)
By: The Odum Institute, Abigail-Kate Reid & Nick Allum
Published: 2020 | Product: SAGE Research Methods Datasets Part 1
This dataset is designed for teaching about autoregressive integrated moving average (ARIMA) models for a single time series variable. The dataset is a subset of data derived from the United States Department of Agriculture (USDA) Database, and the example examines the temporal dynamics 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 co-authored by Abigail-Kate Reid and Nick Allum.
Prerequisites:
Time Series ACFs and PACFs
Data Type:
Time-series
Software Guide:
Stata
Statistical packages
