corn

Wooldridge Source: G.E. Battese, R.M. Harter, and W.A. Fuller (1988), &lt;U+201C&gt;An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data,&lt;U+201D&gt; Journal of the American Statistical Association 83, 28-36. This small data set is reported in the article. Data loads lazily.

datasets

Students learning both econometrics and R may find the introduction
to both challenging. The wooldridge data package aims to lighten the task by efficiently
loading any data set found in the text with a single command. Data sets have been
compressed to a fraction of their original size. Documentation files contain page numbers,
the original source, time of publication, and notes from the author suggesting avenues for
further analysis and research. If one needs an introduction to R model syntax, a
vignette contains solutions to examples from chapters of the text.
Data sets are from the 7th edition (Wooldridge 2020, ISBN-13: 978-1-337-55886-0),
and are backwards compatible with all previous versions of the text.

Justin Shea

wooldridge

115 Data Sets from "Introductory Econometrics: A Modern
Approach, 7e" by Jeffrey M. Wooldridge

Justin M. Shea

Kennth H. Brown

corn function

A data.frame with 37 observations on 5 variables:<ul>
<li>county: county number</li>
<li>cornhec: corn per hectare</li>
<li>soyhec: soybeans per hectare</li>
<li>cornpix: corn pixels per hectare</li>
<li>soypix: soy pixels per hectare</li>
</ul>

Format

You could use these data to illustrate simple regression when the population intercept should be zero: no corn pixels should predict no corn planted. The same can be done with the soybean measures in the data set.
Used in Text: pages 791-792

corn: corn

Description

Usage

Arguments

Format

Notes

Examples