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Stochastic Cost Frontier and Inefficiency Estimates of Public and Private Universities: Does Government Matter?

机译:公立和私立大学的随机成本边界和效率低估:政府重要吗?

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Stochastic frontier analysis is used to estimate operating cost inefficiencies of public and private non-profit universities in the U.S. while also accounting for the possible effects arising from differences in the degree of government ownership. Using panel data for four academic years, 2005-2009, inefficiencies are estimated under two model specifications. Results indicate that public universities are more cost efficient when environmental factors influence cost frontiers but private universities are the cost efficient institutions when those factors are determinants of inefficiency. Increased government funding does matter and increases private sector inefficiency but offers some efficiency improvements among public universities. Following the global financial crisis, there is evidence indicating a considerable slowdown in the inefficiency growth among both public and private universities.
机译:随机前沿分析用于估算美国公立和私立非营利性大学的运营成本效率低下,同时也考虑了政府所有权程度不同所带来的可能影响。使用2005-2009年四个学年的面板数据,在两个模型规范下估计了效率低下的情况。结果表明,当环境因素影响成本前沿时,公立大学的成本效益更高;而当那些因素是效率低下的决定因素时,私立大学则是成本效益高的机构。政府拨款的增加确实很重要,并增加了私营部门的效率低下,但在公立大学中提高了效率。在全球金融危机之后,有证据表明,公立和私立大学的效率低下速度大大放缓。

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