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E. Farhi去世:宏观经济学界的巨大损失

 liyu_sun 2020-07-25

真是噩耗,宏观经济学界最厉害的天才!

A Brief Biography  

Emmanuel Farhi is the Robert C. Waggoner Professor of Economics at Harvard University. His research focuses on macroeconomics, finance, international economics, and public finance. His papers have been published in leading journals including the American Economic Review, the Journal of Political Economy, the Quarterly Journal of Economics, Econometrica, theReview of Economic Studies and the Journal of Financial Economics. He is a member of the Commission Economique de la Nation, a research associate at the National Bureau of Economic Research and at the Center for Economic Policy Research. He is a former member of the Conseil d'Analyse Economique to the french prime minister. He was awarded the 2009 Bernacèr Prize for the best European economist under the age of 40 by the Observatory of the European Central Bank, the 2011 Mallinvaud prize by the French Economic Association, the 2013 Best Young Economist prize by Le Monde and the Cercles des Economistes, and the 2013 Banque de France and Toulouse School of Economics prize in Macroeconomics and Finance. In 2014, he was named one of the 25 best economists under 45 by the IMF.He grew up in France where he attended the École Normale Supérieure and the Corps des Mines. He was awarded his Ph.D. by the Massachusetts Institute of Technology (MIT) in 2006.

下面是他的最重要贡献之一:

如果追踪过哈佛大学经济系的天才经济学家Farhi(with Baqaee)这几年的研究agenda,下面的Slides肯定是一个难得的综述。

注:现在,新的数据和方法又使得人们再次对disaggregation产生兴趣:异质性代理人/企业(HA)+投入产出法(IO)。

注:(1)这时候,需要新的理论来联系disaggregated data与我们所关心的宏观经济outcomes——如何加总个体冲击?这些冲击如何传播?

(2)新的理论方法有啥?可能有Daron Acemoglu的网络结构、林毅夫老师的新结构经济学(Ju,Lin and Wong,2015)……

(3)博科尼大学的G. Basile及其合作者的经验研究等。

注:(1)Hulten(1978)的加总算法是用每个企业的销售份额来加权加总,这个结果很简单,且不依赖于经济的IO结构;

(2)但是该理论不能解释无效率经济或者非线性近似;

(3)该加总算法:总的变量 Y 依赖于prod. (A) 和资源配置(X)。当冲击发生的适合,两个部分都会发生变化。Hulten显示(对于有效配置) 再配置效应相互抵消 (由于包络定理)。

注:如果经济无效率呢?那么markups和wedge就会扭曲margins:

(1)经济的结构就很重要;

(2)用销售份额来加总个体冲击就不恰当了。

(2)New aggregation theorem:Technology effect:   Cost-based Domar weights instead of sales/revenue Domar weightsReallocation effect:   Changes in distortions (markups) and weighted factor sharesWeights constructed from revenue and cost based input out matrices


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