Application of a double bootstrap to investigation of determinants of technical efficiency of farms in Central Europe

被引：67

作者：

Latruffe, Laure ^{[1
]}

Davidova, Sophia ^{[2
]}

Balcombe, Kelvin ^{[3
]}

机构：

[1] INRA, Unite ESR, F-35011 Rennes, France

[2] Univ Kent, Wye, Kent, England

[3] Univ Reading, Reading, Berks, England

来源：

JOURNAL OF PRODUCTIVITY ANALYSIS | 2008年 / 29卷 / 02期

关键词：

double bootstrap; DEA; truncated maximum likelihood; individual farms; corporate farms; Czech Republic;

D O I：

10.1007/s11123-007-0074-2

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The paper provides one of the first applications of the double bootstrap procedure (Simar and Wilson 2007) in a two-stage estimation of the effect of environmental variables on non-parametric estimates of technical efficiency. This procedure enables consistent inference within models explaining efficiency scores, while simultaneously producing standard errors and confidence intervals for these efficiency scores. The application is to 88 livestock and 256 crop farms in the Czech Republic, split into individual and corporate.

引用

页码：183 / 191

页数：9

共 19 条

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