麻省理工学院经济学科研

麻省理工学院经济学科研

MIT Econometrics Research

院校简介：

麻省理工学院（Massachusetts Institute of Technology, MIT），创立于1861年，坐落于美国马萨诸塞州剑桥市（大波士顿地区），是世界著名私立研究型大学。作为世界顶尖高校，麻省理工学院（MIT）尤其以自然及工程学享誉世界，位列2015-16年世界大学学术排名（ARWU）工程学世界第1、计算机科学第2，与斯坦福大学、加州大学伯克利分校一同被称为工程科技界的学术领袖。截止2016年，麻省理工共走出了19位图灵奖（计算机界最高奖）得主；先后有87位诺贝尔奖得主在麻省理工学院工作或学习过。

麻省理工学院出身的经济学家在经济学问题上的决策地位上已经占据优势并主导政策话语。这种情况是十分显著的：前任美联储主席本·伯南克麻省理工学院博士毕业，欧洲央行主席马里奥·德拉吉（Mario Draghi,）以及拥有巨大影响的国际货币基金组织首席经济学家奥利维·布兰查德（Olivier Blanchard,）也是麻省理工学院出身。布兰查德先生已经退休，但是接任他的莫里斯·奥伯斯法尔德（Maurice Obstfeld）也来自麻省理工学院，他是斯坦勒·费舍尔（Stanley Fischer）的学生。费舍尔曾在麻省理工学院任教多年，前任美联储副主席。

麻省理工学院的经济学专业已成为世界各地经济学莘莘学子心向神往的科学圣殿，在微观经济学、宏观经济学、计量经济学等领域亦享有极佳的声誉。

经济学系官网地址：http://economics.mit.edu/

科研时间：

时间：6月1日--9月1日，每期时间长度为3—4周

（针对假期只有3周的学生，可选3周实地+1周远程，确保科研收获）

科研主题：

econometrics, descriptive statistics, modeling construction, numerical computation regarding econometrics；

面向对象： 

以计划申请美国名校经济学、金融工程、数学、统计、计算机等相关专业的本科生、研究生为主；

科研概述：

麻省理工学院经济学科研计划侧重于计量经济学，更具体地包括描述性统计学，数据计算机建模，以及基于正在进行的项目的计量经济学的数值计算等。 特别是在决策过程中与计量经济学有关的几种经典方法将会被详细介绍，如OLS，MNL，时间序列分析，BP神经网络，PCA等。一些常用的计量经济学数学软件包如MATLAB，SPSS 也将介绍该项目的研究。 此外，麻省理工学院经济系老师还将介绍EndNote的使用，用于在撰写论文时对参考书目和参考文献的管理和使用。总的来说，通过参加这个计划，学员将从计量经济学角度发现，分析和解决实际的经济问题，有助于学生的长期学术成长。

This research program at MIT focuses on Econometrics, more specifically including descriptive statistics, modeling construction, and numerical computation regarding econometrics, which is based on an ongoing project. Especially, several classical methods related to econometrics in decision-making process will be detailed introduced, such as OLS, MNL, Time Series Analysis, BP neural network, PCA, etc. Whilst some commonly used mathematical software package for econometrics such as MATLAB, SPSS will also introduced in the research of the project. Moreover, the research apprentices will be introduced the usage of EndNote, a commercial reference management software package, used to manage bibliographies and references when writing essays and articles. Overall, by attending this program, the apprentices will have a large improvement in discovering, analyzing and solving practical economic problems from the econometrics perspective, that are closely related to their future studies.

科研内容：

SETP 1: Housing Demand Forecasting Model

Highlights: The indicators that contribute to the housing demand include economic, social, administrative factors, as well as the local regional factors in a particular area. In this session, the apprentices are required to analyze and develop a set of housing demand indicators. For housing demand analysis, new methods are worthy of investigating and testing for this case, as the methodological process is a continuous one; where potential innovation exists, and frequent updates are required. In this study, the apprentices are required to build an innovative and systematic methodology, as a valuable tool to perform the housing demand forecasting model.

Task1: Developing a set of contributing indicators for housing demand; Building a housing demand forecasting model.

SETP2 : Housing Supply Model

Highlights: In the real estate market, the effective supply refers to the fact that the real estate provided by the developers needs to meet the needs of consumers. In this session, the apprentices are required to analyze and develop a set of housing supply indicators. Based on the data collection of the indicators, the apprentices are required to build a suitable model to analyze the housing supply.

Task2: Developing a set of contributing indicators for housing supply; Building a housing supply model.

SETP3: The relationship between the real estate industry and other industries of the national economy

Highlights: National economic activity is a complex system composed of different industries. There are extensive, complex and close links between industries. This economic link is also called industry association. The development of each industry will have different degrees of chain reaction to the development of other industries, thus affecting the overall coordinated development of the national economy. In this session, the apprentices are required to perform the correlation analysis of different industries. Also, they need to build a model.

Task3: Correlation analysis for different industries; Building a model to determine the special contributing factor of the real estate industry.

SETP4:  Modeling the Real Estate Industry Development Trend

Highlights: Similar to the broader economy, commercial real estate is a cyclical market, i.e., Recovery, Expansion, Hyper Supply, and Recession. In this session, the apprentices should find indicators related to the real estate industry trend. Besides, they should build a model to reflect the relationship between the real estate industry trend and the indicators.

Task4 : Selecting the suitable indicators; Building a trend model.

SETP5: Analysis on the Coordination of Sustainable Development of the Real Estate Industry

Highlights: In real estate industry investment environment unable to ensure sustainability without conformity of other economic sectors with the criteria of sustainable development. Financial and environmental risk analysis identified the key factors influencing sustainability of real estate industry and proposes environmentally friendly solutions for robust economic growth within the industry. In this session, the apprentices will perform an analysis on the coordination of sustainable development of the real estate industry. A systematical sustainable development coordination model should also be outlined.

Task5: Modeling sustainable development coordination of the real estate industry.

SETP 6: Future Housing Price Forecasting

Highlights: Housing price involves multifarious economic interest, including government, the developers, ordinary people, etc. Accurate forecasting for future housing price is very significant for socioeconomic development and national lives. In this session, a systematical approach will present in housing price forecasting.

Task6: Modeling the future housing price forecasting.

SETP7: Final presentation

Highlights: The research apprentices will be required to present a specific econometrics modeling assigned by the mentor. The presentation should cover all the necessary contents, including data (preparation, cleaning), methodology (model construction), and results (discussion and conclusion). The presentation will be organized as the form of international conference. Some PhD candidates and/or Post-doctors will be present there as reviewers.

Task7: Make a poster as a sample for future presentation.

科研亮点：

1. 进入美国名校实验室/科研组，接触尖端科学

为未来赴美深造做准备；科研经历是美国名校申请的基石，顶级名校的科研项目是对学生有能力完成名校学业最好的证明。

2. 师从导师开展实验项目

高层次的人脉和校友关系，与学生为伍的人是诺贝尔奖获得者、美国科学院院士、教授、名校博士、硕士，学生将体验到世界最顶级学术专家们的思想和气质。

3. 获得导师推荐信和科研证书

对于优秀学生可以获得名校导师的推荐信，大大助力未来的留学申请；

4. 全天候专业英语环境，迅速提升专业水平

提升沟通和专业英语水平，提升专业知识和能力，用实践使学生的理论知识更加具体形象。

5. 高含金量收获助力未来留学深造及就业

在名校导师指导下的科研过程将帮助学生明确自身发展方向，不断深化对于美国学界的了解与认同，帮助参与学生及家长明确未来的学校及专业申请方向；从而更好的明确留学的目的与意义，摆脱盲目，获得真知。

科研收获：

1.体会MIT快节奏的学术氛围，挑战自身能力；

2.拓宽学生视野。MIT学术排名长期处于美国前三；

3.学生将有机会与顶尖教授零距离交流，了解学术界的前沿风向；

4.学生将在进入大学学习前，全面了解MIT和其他顶级美国大学经济系的培养流程，并对专业有完整的认知，不仅为大学打下一个良好的基础，也对学生今后的专业选择或者人生规划有很大的助益。

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