科研内容

Tutoring Subject: Econometrics Modeling for the Real Estate Industry

Abstract: 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 detailly 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 course of the project. Moreover, the research apprentics will 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 apprentics 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.

Schedule:

Session 1-2: Housing Demand Forecasting Model

Time and location: 9-415

Highlights: The indicators that contribute to the housing demand include economic, social, administrative factors, as well as the the local regional factors in a particular area. In this session, the apprentics 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 apprentics are required to build an innovative and systematic methodology, as a valuable tool to perform the housing demand forecasting model.

Task 1-2: Developing a set of contributing indicators for housing demand; Building a housing demand forecasting model.

Session 3-4: Housing Supply Model

Time and location: 9-415

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 apprentics are required to analyze and develop a set of housing supply indicators. Based on the data collection of the indicators, the apprentics are required to build a suitable model to analyze the housing supply.

Task 3-4: Developing a set of contributing indicators for housing supply; Building a housing supply model.

Session 5-6: The relationship between the real estate industry and other industries of the national economy

Time and location: 9-415

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 apprentics are required to perform the correlation analysis of different industries. 

Task 5-6: Correlation analysis for different industries; Building a model to determine the special contributing factor of the real estate industry.

Session 7-8: Modeling the Real Estate Industry Development Trend

Time and location: 9-415

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

Task 7-8: Selecting the suitable indicators; Building a trend model.

Session 9-10: Analysis on the Coordination of Sustainable Development of the Real Estate Industry

Time and location: 9-415

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 apprentics will perform an analysis on the coordination of sustainable development of the real estate industry. A systemtical sustainable development coordination model should also be outlined.

Task 9-10: Modeling sustainable development coordination of the real estate industry.

Session 11: Future Housing Price Forecasting

Time and location: 9-415

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 systemticl approach will presented in housing price forecasting.

Task 11: Modeling the future housing price forecasting. 

Session 12: Final presentation

Time and location: 9-415

Highlights: The research apprentics 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.

Task 12: Make a poster as a sample for future presentation.

学校简介

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。

项目简介

科研主题： 经济学-房地产行业计量经济学；
科研导师：MIT经济学专业导师；
科研地点：MIT经济学科研组会议室；
科研时间：寒假，暑假，每期时间长度为3-4周；具体情况根据学生面试情况由美方进行调整；
报名后1周安排面试，面试前辅导学生阅读1篇专业论文。

科研收获

1.挑战自身潜能，切身体会世界理工之最——麻省理工学院严苛的学术氛围。通过参加2~4周紧张而丰富的科研，学生能亲身体会国际精英们在这样的学术氛围下如何完成自身成长；
2.极大拓宽学生视野。麻省理工学院（MIT）作为世界顶尖高校，学生将从经济学的角度分析和解决实际经济问题，并参与房价预测会议，对房地产市场有自己的见解。
3.科研完成后，学生将会全面了解并体会到麻省理工学院的授课及培养流程，并对经济学专业有一个完整的认知，将对学生今后的专业选择以及后续专业课程学习帮助良多；
4.同时，经过 2~4周的美国学习生活，学生能够为将来的赴美留学打下基础，并且能够根据自身情况对未来有更清晰的规划。在面临人生选择和确定发展方向的十字路口，这一段经历将会成为学生十分宝贵的财富。