nyse

Data loads lazily. Type data(nyse) into the console.

datasets

Economics students new to both econometrics and R may find the
simultaneous introduction to both challenging. In particular, the process of
loading and preparing data before building one's first model can present
challenges. The `wooldridge` data package aims to lighten the task by loading
any data set from the text into the current working environment with a single command.
The package contains documentation for each set and all data has been
compressed to 62.73% of its original size. Just install the package, load it,
and use the `data()` function to call the data set you need to work with.
In addition, a wooldridge-vignette illustrates solutions to examples from
each chapter of the text, offering a relevant introduction to econometric
modelling with R. The vignette also includes an Appendix to helpful resources
about using R for econometrics. Note: Data sets are from the 5th edition
(Wooldridge 2013, ISBN-13:978-1-111-53104-1), and are compatible with others.

Justin Shea

wooldridge

105 Data Sets from "Introductory Econometrics: A Modern
Approach" by Jeffrey M. Wooldridge

nyse function

A data.frame with 691 rows and 8 variables:<ul>
<li>price. NYSE stock price index</li>
<li>return. 100*(p - p(-1))/p(-1))</li>
<li>return_1. lagged return</li>
<li>t.</li>
<li>price_1.</li>
<li>price_2.</li>
<li>cprice. price - price_1</li>
<li>cprice_1. lagged cprice</li>
</ul>

nyse: nyse

Description

Usage

Arguments

Format

Examples