McKinsey

Dataset combining information from:<ul>
<li>McKinsey, "Valuing the merit of teachers", Direction interministérielle de la transformation publique.</li>
<li>OECD (2012), "Does Performance-Based Pay Improve Teaching?", PISA in Focus, No. 16, OECD Publishing, Paris.</li>
</ul>

datasets

Provides a collection of intuitive and user-friendly functions
for computing confidence intervals for common statistical tasks, including
means, differences in means, proportions, and odds ratios. The package also
includes tools for linear regression analysis and several real-world datasets
intended for teaching and applied statistical inference.

Gwenaël Piaser

IPAG

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McKinsey function

A data frame with the following variables:<dl>
<dt>COUNTRIES</dt>
<dd>The name of the country.</dd><dt>READING</dt>
<dd>Teacher efficiency measured by PISA reading tests.</dd><dt>YSALARY</dt>
<dd>Teacher salaries in relation to GDP per capita.
0 means salaries equal GDP per capita, 0.5 means 1.5 times higher than GDP per capita,
1 means 2 times higher than GDP per capita.</dd><dt>YGDP</dt>
<dd>GDP per capita in USD 1,000.</dd><dt>EXPEND</dt>
<dd>Cumulative expenditure by educational establishments in USD 1,000.</dd><dt>PERF</dt>
<dd>Teacher merit pay (y = yes, n = no).</dd>
</dl>

Format

McKinsey / OECD Education Dataset — McKinsey

A data frame with the following variables:<dl>
<dt>COUNTRIES</dt>
<dd>The name of the country.</dd>

<dt>READING</dt>
<dd>Teacher efficiency measured by PISA reading tests.</dd>

<dt>YSALARY</dt>
<dd>Teacher salaries in relation to GDP per capita.
0 means salaries equal GDP per capita, 0.5 means 1.5 times higher than GDP per capita,
1 means 2 times higher than GDP per capita.</dd>

<dt>YGDP</dt>
<dd>GDP per capita in USD 1,000.</dd>

<dt>EXPEND</dt>
<dd>Cumulative expenditure by educational establishments in USD 1,000.</dd>

<dt>PERF</dt>
<dd>Teacher merit pay (y = yes, n = no).</dd>


</dl>

McKinsey: McKinsey / OECD Education Dataset

Description

Usage

Arguments

Format

Details