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摘要翻译：
在本文中，我试图通过扩展经典的外生经济增长模型来构建一个新的模型，包括一个试图内生地解释和量化技术创新规模的测度。我不同意技术是一个“不变”的外生变量，因为是人类创造了所有的技术创新，这取决于为其研究分配了多少人力和物质资本。我检查了几种可能的方法来实现这一点，然后我用样本和真实世界的证据数据来测试我的模型。我称这种方法为“动态的”，因为它试图通过相互影响来模拟研究、劳动和资本之间资源分配的细节。最后指出了新的残差和经济增长模型中可以进一步完善的部分。
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英文标题：
《Endogenous growth - A dynamic technology augmentation of the Solow model》
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作者：
Murad Kasim
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最新提交年份：
2018
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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：
In this paper, I endeavour to construct a new model, by extending the classic exogenous economic growth model by including a measurement which tries to explain and quantify the size of technological innovation ( A ) endogenously. I do not agree technology is a "constant" exogenous variable, because it is humans who create all technological innovations, and it depends on how much human and physical capital is allocated for its research. I inspect several possible approaches to do this, and then I test my model both against sample and real world evidence data. I call this method "dynamic" because it tries to model the details in resource allocations between research, labor and capital, by affecting each other interactively. In the end, I point out which is the new residual and the parts of the economic growth model which can be further improved.
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PDF链接：
https://arxiv.org/pdf/1805.00668
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