pwt1001

<p>Relative levels of income, output, input, and productivity for 183 countries between 1950 and 2019
(base year: 2017).</p>

datasets

Cluster Evolution Analytics allows us to use exploratory what if questions in the sense that the present information of an object is plugged-in a dataset in a previous time frame so that we can explore its evolution (and of its neighbors) to the present. See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2024) <https://mpra.ub.uni-muenchen.de/120220>.

V<c3><ad>ctor Morales-O<c3><b1>ate

clusEvol

A Procedure for Cluster Evolution Analytics

Víctor Morales-Oñate

Bolívar Morales-Oñate

pwt1001 function

<p>A data frame with 12,810 observations of 52 variables.</p>

pwt1001: Penn World Table (Version 10.01)

Description

Usage

Arguments

Format

Details

References