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摘要翻译：
各种文件表明了不平等、贫困和中产阶级规模对经济增长的重要性。在解释为什么收入分配的这些衡量标准被添加到增长回归中时，人们经常提到穷人的行为不同，这可能会转化为整个经济。但是，简单地添加解释变量并不能反映这种行为。通过一个变系数模型，我们发现增长的回报在很大程度上取决于贫困和不平等。此外，我们调查了社会中较贫穷和较富裕部分的这些回报是如何不同的。我们认为，系数的差异一方面阻碍了均值系数的信息性，另一方面也挑战了经济解释的可信度。简而言之，我们表明，在不考虑贫困和不平等的情况下估计均值系数时，估计很可能受到严重的内生性偏差的影响。
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英文标题：
《A Varying Coefficient Model for Assessing the Returns to Growth to
Account for Poverty and Inequality》
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作者：
Max K\"ohler, Stefan Sperlich, Jisu Yoon
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最新提交年份：
2019
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分类信息：
一级分类：Economics 经济学
二级分类：Econometrics 计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
Various papers demonstrate the importance of inequality, poverty and the size of the middle class for economic growth. When explaining why these measures of the income distribution are added to the growth regression, it is often mentioned that poor people behave different which may translate to the economy as a whole. However, simply adding explanatory variables does not reflect this behavior. By a varying coefficient model we show that the returns to growth differ a lot depending on poverty and inequality. Furthermore, we investigate how these returns differ for the poorer and for the richer part of the societies. We argue that the differences in the coefficients impede, on the one hand, that the means coefficients are informative, and, on the other hand, challenge the credibility of the economic interpretation. In short, we show that, when estimating mean coefficients without accounting for poverty and inequality, the estimation is likely to suffer from a serious endogeneity bias.
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PDF链接：
https://arxiv.org/pdf/1903.02390
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