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These are some macroeconomic data for 21 select (rich) countries. I've used these data before to discuss issues of grouping and skew in cross-sectional data.

Usage

pwt_sample

Format

A data frame with 1470 observations on the following 11 variables.

country

the country name

isocode

The country's ISO code

year

a numeric vector for the year

pop

Population in millions

hc

Index of human capital per person, based on years of schooling and returns to education

rgdpna

Real GDP at constant 2011 national prices (in million 2017 USD)

rgdpo

Output-side real GDP at chained PPPs (in million 2017 USD)

rgdpe

Expenditure-side real GDP at chained PPPs (in million 2017 USD)

labsh

Share of labor compensation in GDP at current national prices

avh

Average annual hours worked by persons engaged.

emp

Number of persons engaged (in millions)

rnna

Capital stock at constant 2017 national prices (in million 2017 USD)

Source

Taken from the pwt10 package. See: https://www.rug.nl/ggdc/