2016
秋讲座课程-Short Courses, Autumn Semester 2016
蒋学模经济学讲座
Course title:
Macroeconomic Crises of the 1970-2000 Period
Classroom: Daikin Hall, School of Economics
Assessment: TBA
Schedule:
9:00-11:30 am December 17 (Saturday)
6:30-9:00 pm December 17 (Saturday)
9:00-11:30 am December 18 (Sunday)
2:00-4:30 pm December 18 (Sunday)
6:30-9:00 pm December 18 (Sunday)
6:30-9:00 pm December 19 (Monday)
教授简介：
胡永泰教授是加州大学戴维斯分校经济系教授、布鲁金斯学会高级研究员、哥伦比亚大学全球化与可持续性发展研究中心的东亚项目主任。胡永泰教授目前主要致力于研究国际金融架构、经济增长理论、汇率经济学、以及东亚问题(特别针对中国和印度尼西亚)。胡教授著述丰富，在国际权威学术期刊上发表了百余篇论文，并出版了多部专著。他于1985年2月发表在《国际经济学季刊》上的文章“理性预期条件下汇率决定的货币分析法——美元兑德国马克的案例分析”，被评为该季刊三十年历史上被引用最多的二十五篇文章之一。
胡永泰教授为多个国家政府机构就宏观经济和汇率制度，贸易问题和金融事业发展提供专家意见和建议，并在世界多个大学、研究机构和国际机构担任研究职务。胡永泰教授现任《亚洲经济文集》，《中国经济与商学研究》的编辑，以及《规划经济学》，《亚洲经济》的协作编辑。他同时担任多种学术期刊的顾问。
胡永泰教授于1982年获得哈佛大学经济学硕士和博士学位。他于1985年加入加利福尼亚大学戴维斯分校，之前曾受聘布鲁克林研究院。
第56期（经济学院研究生课程表中的讲座13，ECON830070）
Songnian Chen（陈松年）
Professor, Department of Economics,HKUST
Course title: Empirical Methods for Applied Microeconomics
Classroom: 205, School of Economics
Assessment: TBA
Schedule:
6:30-9:00 pm November 14 (Monday)
2:00-4:30 pm November 16 (Wednesday)
2:00-4:30 pm November 17 (Thursday)
6:30-9:00 pm November 21 (Monday)
2:00-4:30 pm November 23 (Wednesday) ( Rm. 801)
2:00-4:30 pm November 24 (Thursday)
The students are expected to have taken a basic econometrics course before.
教授简介：
Prof. Songnian Chen received his PhD in Economics from Princeton University in 1994. He then joined the faculty of HKUST, where he is currently Chair Professor of the Department of Economics. He also taught at the National University of Singapore. Prof Chen’s research interests include theoretical and applied microeconometrics. He has published in Econometrica, Review of Economic Studies, Journal of Econometrics, Econometric Theory, Annals of Statistics, Journal of American Statistical Association and Journal of Business and Economic Statistics. He is an associate editor and a fellow of Journal of Econometrics.
海外优秀学者授课项目
1.
经济学院研究生课程表中的讲座
9
，
Course Code: ECON830060
Course title: Economic Growth and Development
Schedule:
6:30-9:00 pm Oct. 24 (Monday) (Rm. 801, SOE)
6:30-9:00 pm Oct. 25 (Tuesday) (Rm. 801)
6:30-9:00 pm Oct. 27 (Thursday) (Rm. 801)
6:30-9:00 pm Oct. 31 (Monday) (Rm. 801)
6:30-9:00 pm Nov. 1 (Tuesday) (Rm. 801)
2:00-4:30 pm Nov. 4 (Friday) (Rm. 205)
教授简介：
Graff教授于1994年、2000年分别获得德国汉堡大学、德国德累斯顿工业大学经济学博士学位，现为瑞士苏黎世联邦高等工学院KOF瑞士经济研究所教授、经济预测部研究主管，他的研究针对社会科学的多个领域，重点是国际视角下与经济体和社会表现相关的、含政策内容的应用性研究。尤其值得一提的是，他从事金融、政治和社会经济子系统功能的比较分析。此外,他的研究领域还包括资本主义、劳动力市场、教育、技术历史、货币政策、贸易政策、国际商业周期和经济预测变量。近年论文发表于
International Journal of Economic Policy in Emerging Economies
、
Journal of Trade and Global Markets
、
Global Economy Journal
、
CESifo Economic Studies
、
International Review of Applied Economics
、
Applied Economics。
2.
经济学院研究生课程表中的讲座
10
，
Course Code: ECON830061
Francis Munier
Associate Professor
Faculty of Economics and Management, University of Strasbourg
Course title: Economics of Happiness
Schedule:
2:30-5:00 pm Nov. 1 (Tuesday) (Rm. 801, SOE)
2:00-4:30 pm Nov. 2 (Wednesday) (Rm. 801)
6:30-9:00 pm Nov. 3 (Thursday) (Rm. 205)
6:30-9:00 pm Nov. 7 (Monday) (Rm. 205)
6:30-9:00 pm Nov. 8 (Tuesday) (Rm. 205)
6:30-9:00 pm Nov. 10 (Thursday) (Rm. 205)
Exam: Rm. 207, West Subtower, Guanghua Building, 9:00-11:00 am, Nov. 26th, 2016
教授简介：
Francis Munier是法国斯特拉斯堡大学经济学院副教授、法国国家科学研究中心BETA (Bureau d’Economie Théorique et Appliquée)研究员。他的研究领域为幸福经济学、贸易与幸福、知识经济、产业经济学。他1999年获得法国路易巴斯德大学经济学博士学位。
3.
经济学院研究生课程表中的讲座
11
，
Course Code: ECON830062
Deirdre McCloskey
Distinguished Professor of Economics and of History, Professor of English and of Communication, University of Illinois at Chicago, Emerita from August 2015-present.
Course title: Microeconomics Applied to the Macroeconomics of World Economic Growth
Schedule:
2:00-4:30 pm Oct. 14 (Friday) (Rm. 105, SOE)
6:30-9:00 pm Oct. 17 (Monday) (Rm. 205)
6:30-9:00 pm Oct. 18 (Tuesday) (Rm. 201)
6:30-9:00 pm Oct. 19 (Wednesday) (Rm. 205)
6:30-9:00 pm Oct. 20 (Thursday) (Rm. 105)
2:00-4:30 pm Oct. 21 (Friday) (Rm. 205)
Course description: Adam Smith spoke of 'the nature and causes of the wealth of nations,' and started economics on its modern track. The course will explain economic growth, first in northwestern Europe 1700-1900 and then also in recent times in China and India and the rest. The approach will not be through capital theory or through institutional economics, but through 'humanomics.' Humanomics combines basic price theory---lacking in most macro theories of economic growth---with literature, philosophy, theology, social theory, sociology relevant to the economy. The textbooks will be McCloskey's The Applied Theory of Price (1985, available free online at
deirdremccloskey.org), from which graded problem sets will be assigned, and volumes 2 and 3 in McCloskey's recent trilogy on the Great Enrichment, Bourgeois Dignity: Why Economics Can't Explain the Modern World (2010) and Bourgeois Equality: How Ideas, Not Capital or Institutions, Enriched the World (2016) about which short essays will be assigned. The class will require intensive classroom discussion of the arguments, the overall argument being that human creativity, not the routine application of existing knowledge in capital accumulation or incentives through institutions, drives the wealth of nations.
4.
经济学院研究生课程表中的讲座
15
，
Course Code: ECON830072
Dr. Purba H. Rao
email : purbarao@yahoo.in
Visiting Professor, Indian Institute of Management, Ahmedabad
Course title:
Statistics for Economics
Schedule:
1:30-4:05 pm Sept. 13 (Tuesday) (Rm. 205, SOE)
1:30-4:05 pm Sept. 20 (Tuesday) (Rm. 201)
1:30-4:05 pm Sept. 27 (Tuesday) (Rm. 801)
1:30-4:05 pm Oct. 11 (Tuesday) (Rm. 205)
1:30-4:05 pm Oct. 25 (Tuesday) (Rm. 801)
1:30-4:05 pm Nov. 6 (Sunday) (Rm. 205)
Course description:
Statistics for Economics will be a concepts oriented course to discuss theoretical approaches as well as applications in Economics. The course will assume that the students have a basic familiarity with Descriptive Statistics such as Presenting and Summarizing data, concepts of Random Variables and Probability Theory, Probability Distributions such as Normal and t-distributions.
The course will start with a review of sampling and estimation and discuss topics under Statistial Inference using Normal Distributions, t-distributions, Chi-square and F-distributions. In addition to one-tail, two-tail tests of hypotheses we would also consider Chi-square tests of independence and Analysis of Variance, ANOVA with F-tests.
Thereafter we would go over to correlation & Simple Regression and then to Multiple Linear Regression (OLS) with t-significance, multicollinearity and dummy variables. Our next topic will be time series forecasting with trend and seasonality.
Our last topic will be Logistic Regression, theory and Application.
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