少点错误 2024年09月18日
Endogenous Growth and Human Intelligence
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本文探讨了内生增长模型的历史发展,以及智力对国家层级结果的影响。文章从索洛模型开始,回顾了宏观增长模型的演变,并指出了传统模型无法解释现实世界中存在的巨大差异,例如资本流动和增长率变化等问题。文章进一步介绍了罗默模型,强调了知识和创新在经济增长中的重要作用,并分析了智力对国家发展水平的影响。

🤔 **从索洛模型到内生增长模型的演变**: 索洛模型以资本积累解释经济增长,但存在缺陷,例如资本边际收益递减、无法解释全球收入差距、预测增长率下降等问题。罗默模型则引入了知识和创新,认为技术进步是内生增长的源泉,并强调了人力资本的重要性。

🧠 **智力对国家层级结果的影响**: 智力水平对国家层级结果具有显著影响。智力水平较高的国家往往具有更强的创新能力、更高的生产力水平、更快的经济增长速度。研究表明,智力水平与经济发展水平之间存在密切的正相关关系。

📈 **内生增长模型的现实意义**: 内生增长模型强调了知识、创新和人力资本在经济增长中的重要作用,为制定促进经济增长的政策提供了理论基础。例如,政府可以通过投资教育、科技研发、基础设施建设等方式提高人力资本水平,促进知识积累和技术进步,从而实现可持续的经济增长。

Published on September 18, 2024 2:05 PM GMT

Hi everyone! I’ve written an article I’m rather happy with on the history of endogenous growth models, and on the influence of intelligence on country level outcomes. As it is quite long, I will excerpt only a part — I sincerely hope you read the whole thing.

https://nicholasdecker.substack.com/p/endogenous-growth-and-human-intelligence

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ii. The History of Macroeconomic Growth Models

Macro growth models start in earnest with Solow, who connected capital accumulation to growth. Capital is taken to have diminishing marginal returns, in contrast to the cruder Harrod-Domar model. There exists a rate of savings which maximizes long run consumption, and given a particular technology set consumption will reach a constant level. (This rate of savings is called the Golden Rule level of savings, after Phelps). We assume perfect competition in production. (Monopoly distortions can be subtracted from the steady state level of consumption). Initial conditions have no effect on the long run rate, which is the same for all places and much lower than our present living standards. It is therefore necessary to invoke technological change, which is taken to be growing at an exogenously determined rate. As Arrow wrote, “From a quantitative, empirical point of view, we are left with time as an explanatory variable. Now trend projections … are basically a confession of ignorance, and what is worse from a practical viewpoint, are not policy variables”

The formulas are simple and clean, and you can make meaningful predictions about growth rates. Still, this clearly does not very well describe the world. There are large differences in per capita income across the globe. If there are diminishing marginal returns to capital, and that is all that matters, then capital should be flowing from developed countries to developing countries. It isn’t. In fact, more skilled people (who can be thought of as possessing a kind of capital, human capital) immigrate to more skilled countries! (Lucas 1988). Even if there are bars to capital flowing between countries, no such barriers between southern and northern states in the US. Barro and Sala-i-Martin (1992) found that, with reasonable parameters, the return to capital should have been five times higher in the South in the 1880s. Yet, most capital investment took place in New England states. 

The bigger problem is that it predicts that growth rates should be declining over time. They are not. If anything, they are increasing over time. Even if the growth rate is constant and positive, that implies that the absolute value of growth is increasing over time. Appending human capital to the model can allow you to estimate the contribution of skills, in contrast to just tools and resources, but it is just a subset of capital and won’t lead to unbounded growth.


 Enter Romer.


 



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内生增长模型 智力 经济增长
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