data.income

<p>This data set describes major macroeconomic variables determining the differences in per capita income of 75 countries in 1985.</p>

datasets

Written to help undergraduate as well as graduate students to get started
with R for basic econometrics without the need to import specific functions
and datasets from many different sources. Primarily, the package is meant to
accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024,
ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook
Auer, L.v. (2023, ISBN: 978-3-658-42699-6).

Soenke Hoffmann

desk

Didactic Econometrics Starter Kit

Tobias Kranz

data.income function

<p>A data frame with 75 observations on the following three variables:</p><table class="table">
<tr><td><code>loginc</code></td><td>logarithmic per capita income.</td></tr>
<tr><td><code>logsave</code></td><td>logarithmic savings rate.</td></tr>
<tr><td><code>logsum</code></td><td>logarithmic sum of population growth rate, technical progress and capital depreciation.</td></tr>
</table><p></p><p></p>

Format

Income Per Capita — data.income

<p>A data frame with 75 observations on the following three variables:</p><table class='table'>
<tr><td><code>loginc</code></td><td>logarithmic per capita income.</td></tr>
<tr><td><code>logsave</code></td><td>logarithmic savings rate.</td></tr>
<tr><td><code>logsum</code></td><td>logarithmic sum of population growth rate, technical progress and capital depreciation.</td></tr>
</table>



data.income: Income Per Capita

Description

Usage

Arguments

Format

Details

References

`loginc`	logarithmic per capita income.
`logsave`	logarithmic savings rate.
`logsum`	logarithmic sum of population growth rate, technical progress and capital depreciation.