克裡斯托弗·西姆斯

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克裡斯托弗·西姆斯（Christopher A.Sims）

　　克裡斯托弗·西姆斯(Christopher A.Sims)生於1942年10月21日。1963年西姆斯在哈佛大學獲得數學學士學位以後，去加州伯克利大學讀了一年的研究生，然後回到哈佛大學繼續學習,獲得經濟學博士學位。1968-1970年，西姆斯在哈佛大學擔任經濟學助理教授。1970年，他前往明尼蘇達大學任經濟學副教授，併在1974年任教授直至1990年。1990年以後，西姆斯一直在普林斯頓大學擔任經濟學教授。由於其傑出的研究成就，西姆斯擔任了眾多的學術兼職，並擁有很多榮譽頭銜。他1988年成為美國藝術和科學研究院的院士，1989年成為美國科學院院士.

　　西姆斯創立了名為向量自回歸的方法來分析經濟如何受到經濟政策的臨時性改變和其他因素的影響。西姆斯及其他研究者使用這一方法來研究諸如央行加息對經濟的影響等諸多重要問題。

• 《理解計量單位本質：概覽》
• 《科學標準和計量經濟模式》
• 《模型的不確定性》
• 《衰退的周期性》
• 《巨集觀經濟和現實》

　　Christopher Albert "Chris" Sims (born October 21, 1942) is an econometrician and macroeconomist. He is currently the Harold B. Helms Professor of Economics and Banking at Princeton University.

　　Sims earned his Ph.D. in Economics in 1968 at Harvard University. He held teaching positions at Harvard, University of Minnesota, Yale University and, since 1999, Princeton. Sims is a member of the National Academy of Sciences (since 1989) and of the American Academy of Arts and Sciences (since 1988). In 1995 he was the president of the Econometric Society.

　　Sims published numerous important papers in his areas of research: econometrics and macroeconomic theory and policy. Among other things, he was one of the main promoters of the use of Vector autoregression in empirical macroeconomics.

　　Christopher Sims is a well-known intellectual leader in time-series econometrics and applied macroeconomics. Among his many honors and distinctions, he has been the President of the Econometric Society and he is a member of the National Academy of Sciences. He has made fundamental contributions to both statistical theory of time series and empirical macroeconomics. Sims' work is influential precisely because it was motivated by important problems in macroeconomics. Not only did Sims study questions of statistical approximation in abstract environments, he showed how to apply the resulting apparatus to a variety of specific problems confronting applied researchers. The applications include seasonality in economic time series, aggregation over time, and approximation in formulating statistical models with economic underpinnings. Moreover, Sims' contributions to causality in time series and to the development of vector autoregressive methods were complemented by an important body of empirical research. Sims has served as an effective advocate and critic of the extensively used vector autoregressive statistical methods. Motivated by his own and related empirical research, Sims is one of the leaders in rethinking how monetary policy should be modeled and reconsidering the channels by which monetary policy influences economic aggregates. This interview with Chris Sims gives an opportunity to explore further the context of many of these contributions. Sims typically has a unique perspective on many economic problems, a perspective that is articulated in his answers to a variety of questions.