2016
秋講座課程-Short Courses, Autumn Semester 2016
蔣學模經濟學講座
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)
教授簡介：
胡永泰教授是加州大學戴維斯分校經濟系教授🎧、布魯金斯學會高級研究員、哥倫比亞大學全球化與可持續性發展研究中心的東亞項目主任。胡永泰教授目前主要致力於研究國際金融架構、經濟增長理論、匯率經濟學、以及東亞問題(特別針對中國和印度尼西亞)。胡教授著述豐富🆗🔒，在國際權威學術期刊上發表了百余篇論文🚶♀️，並出版了多部專著。他於1985年2月發表在《國際經濟學季刊》上的文章“理性預期條件下匯率決定的貨幣分析法——美元兌德國馬克的案例分析”，被評為該季刊三十年歷史上被引用最多的二十五篇文章之一。
胡永泰教授為多個國家政府機構就宏觀經濟和匯率製度，貿易問題和金融事業發展提供專家意見和建議👩🏿🦰，並在世界多個大學、研究機構和國際機構擔任研究職務。胡永泰教授現任《亞洲經濟文集》🫶，《中國經濟與商學研究》的編輯，以及《規劃經濟學》，《亞洲經濟》的協作編輯。他同時擔任多種學術期刊的顧問。
胡永泰教授於1982年獲得哈佛大學經濟學碩士和博士學位。他於1985年加入加利福尼亞大學戴維斯分校，之前曾受聘布魯克林研究院🏮。
第56期（意昂2平台研究生課程表中的講座13，ECON830070）
Songnian Chen（陳松年）
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.
教授簡介：
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.
海外優秀學者授課項目
1.
意昂2平台研究生課程表中的講座
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)
教授簡介：
Graff教授於1994年👩🏻🦳、2000年分別獲得德國漢堡大學、德國德累斯頓工業大學經濟學博士學位🚜，現為瑞士蘇黎世聯邦高等工意昂2KOF瑞士經濟研究所教授、經濟預測部研究主管，他的研究針對社會科學的多個領域，重點是國際視角下與經濟體和社會表現相關的、含政策內容的應用性研究。尤其值得一提的是🧔🏽♂️，他從事金融、政治和社會經濟子系統功能的比較分析。此外,他的研究領域還包括資本主義、勞動力市場、教育🚣🏿♂️、技術歷史、貨幣政策、貿易政策🤦、國際商業周期和經濟預測變量。近年論文發表於
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.
意昂2平台研究生課程表中的講座
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
教授簡介：
Francis Munier是法國斯特拉斯堡大學意昂2平台副教授、法國國家科學研究中心BETA (Bureau d’Economie Théorique et Appliquée)研究員🏃。他的研究領域為幸福經濟學🏉、貿易與幸福、知識經濟🥺、產業經濟學。他1999年獲得法國路易巴斯德大學經濟學博士學位🤷♀️。
3.
意昂2平台研究生課程表中的講座
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.
意昂2平台研究生課程表中的講座
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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