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Dataset

Learn About Time Series ARIMA Models in Stata With Data From the NOAA Global Climate at a Glance (1910–2015)

By: , & 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 U.S. National Oceanic and Atmospheric Administration (NOAA) Climate at a Glance website, and the example examines the temporal dynamics in average annual land temperatures in Asia from 1910 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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