consump

Data loads lazily. Type data(consump) 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

consump function

A data.frame with 37 rows and 24 variables:<ul>
<li>year. 1959-1995</li>
<li>i3. 3 mo. T-bill rate</li>
<li>inf. inflation rate; CPI</li>
<li>rdisp. disp. inc., 1992 $, bils.</li>
<li>rnondc. nondur. cons., 1992 $, bils.</li>
<li>rserv. services, 1992 $, bils.</li>
<li>pop. population, 1000s</li>
<li>y. per capita real disp. inc.</li>
<li>rcons. rnondc + rserv</li>
<li>c. per capita real cons.</li>
<li>r3. i3 - inf; real ex post int.</li>
<li>lc. log(c)</li>
<li>ly. log(y)</li>
<li>gc. lc - lc[_n-1]</li>
<li>gy. ly - ly[_n-1]</li>
<li>gc_1. gc[_n-1]</li>
<li>gy_1. gy[_n-1]</li>
<li>r3_1. r3[_n-1]</li>
<li>lc_ly. lc - ly</li>
<li>lc_ly_1. lc_ly[_n-1]</li>
<li>gc_2. gc[_n-2]</li>
<li>gy_2. gy[_n-2]</li>
<li>r3_2. r3[_n-2]</li>
<li>lc_ly_2. lc_ly[_n-2]</li>
</ul>

consump: consump

Description

Usage

Arguments

Format

Examples