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Microeconomic Approaches to Development: Schooling, Learning, and Growth

机译:微观经济发展方法:教育,学习与增长

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摘要

Of all fields of economics, micro-development is probably characterized by the most variety in the approaches taken, data sets used, and settings studied. This heterogeneity reflects the fact that not all issues can be investigated with one approach, given limitations of time, methodology, and available data. But the eclecticism of micro-development can also contribute to the credibility of findings. As we have seen, a variety of empirical approaches, based on many different kinds of data-including long-term, general-purpose, household panel data sets; focused data sets associated with experiments; and matched cross-sectional administrative data-have produced important and common insights into the role of schooling in development, highlighted in prominent macro models of growth. In particular, these studies have provided improved estimates of the contributions of schooling to earnings that go beyond simple wage regressions; revealed the importance of both own and social learning in technology adoption that is enhanced by schooling; provided insights into where and when schooling will be particularly productive; and showed that schooling investments increase when schooling returns rise or are perceived to rise.
机译:在经济学的所有领域中,微观发展的特征可能是所采用的方法,所使用的数据集和所研究的设置种类最多。这种异质性反映了这样一个事实,在时间,方法和可用数据的限制下,并非所有问题都可以用一种方法进行调查。但是,微观发展的折衷主义也可以促进研究结果的可信度。如我们所见,基于许多不同类型的数据,包括长期的,通用的家用面板数据集,有各种各样的经验方法。与实验相关的重点数据集;以及相匹配的横断面行政数据,已对学校教育在发展中的作用产生了重要而普遍的见解,突出的宏观增长模型对此进行了强调。特别是,这些研究提供了对教育对收入的贡献的改进估算,这超出了简单的工资回归。揭示了自身和社会学习在采用技术方面的重要性,这种学习因学校教育而得到增强;提供关于何时何地上学将特别有成效的见解;并表明,当教育收益增加或被认为增加时,教育投资就会增加。

著录项

  • 来源
    《The journal of economic perspectives》 |2010年第3期|P.81-96|共16页
  • 作者

    Mark R. Rosenzweig;

  • 作者单位

    International Economics, Yale University. New Haven, Connecticut;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 23:25:34

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