ccr81

The data set is from an US federally sponsored program for providing remedial assistance to disadvantaged primary school students. The data comprises 70 school sites.

datasets

Nonparametric efficiency measurement and statistical inference via DEA type estimators (see F<c3><a4>re, Grosskopf, and Lovell (1994) <doi:10.1017/CBO9780511551710>, Kneip, Simar, and Wilson (2008) <doi:10.1017/S0266466608080651> and Badunenko and Mozharovskyi (2020) <doi:10.1080/01605682.2019.1599778>) as well as Stochastic Frontier estimators for both cross-sectional data and 1st, 2nd, and 4th generation models for panel data (see Kumbhakar and Lovell (2003) <doi:10.1017/CBO9781139174411>, Badunenko and Kumbhakar (2016) <doi:10.1016/j.ejor.2016.04.049>). The stochastic frontier estimators can handle both half-normal and truncated normal models with conditional mean and heteroskedasticity. The marginal effects of determinants can be obtained.

Oleg Badunenko

npsf

Nonparametric and Stochastic Efficiency and Productivity
Analysis

ccr81 function

This data frame contains the following variables (columns):<dl class="dl-horizontal">
 <dt><code>nu</code></dt><dd>School Site Number</dd> 		<dt><code>y1</code></dt><dd>Total Reading Score</dd>
 <dt><code>y2</code></dt><dd>Total Math Score</dd>
 <dt><code>y3</code></dt><dd>Total Coopersmith Score</dd><dt><code>x1</code></dt><dd>Education Level of Mother</dd>
 <dt><code>x2</code></dt><dd>Occupation Index</dd>
 <dt><code>x3</code></dt><dd>Parental Visit Index</dd>
 <dt><code>x4</code></dt><dd>Counseling Index</dd>
 <dt><code>x5</code></dt><dd>Number of Teachers</dd>
 </dl>

ccr81: Program Follow Through at Primary Schools

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