inven

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

datasets

Economics students new to both Econometrics and R may find the
tasks of learning both a bit daunting. However, if your text is "Introductory
Econometrics: A Modern Approach" by Jeffrey M. Wooldridge, then you are in
luck! The `wooldridge` data package aims to lighten the task by loading any
data set from the text with a single command. In addition, the package contains
documentation for each data set and all data has been efficiently compressed
resulting in a total size that is 62.73% of its original. A wooldridge-vignette
recreates examples from every chapter of the text, offering a relevant
introduction to R's statistical model syntax. Note: Data sets are from the
5th edition (Wooldridge 2013, ISBN-13:978-1-111-53104-1), which is compatible
with all other editions.

Justin Shea

wooldridge

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

inven function

A data.frame with 37 rows and 13 variables:<ul>
<li>year. 1959-1995</li>
<li>i3. 3 mo. T-bill rate</li>
<li>inf. CPI inflation rate</li>
<li>inven. inventories, billions '92 $</li>
<li>gdp. GDP, billions '92 $</li>
<li>r3. real interest: i3 - inf</li>
<li>cinven. inven - inven[_n-1]</li>
<li>cgdp. gdp - gdp[_n-1]</li>
<li>cr3. r3 - r3[_n-1]</li>
<li>ci3. i3 - i3[_n-1]</li>
<li>cinf. inf - inf[_n-1]</li>
<li>ginven. log(inven) - log(inven[_n-1])</li>
<li>ggdp. log(gdp) - log(gdp[_n-1])</li>
</ul>

inven: inven

Description

Usage

Arguments

Format

Examples