麻省理工學院經濟學科研

麻省理工學院經濟學科研

MIT Econometrics Research

院校簡介：

麻省理工學院（Massachusetts Institute of Technology, MIT），創(chuàng)立于1861年，坐落于美國馬薩諸塞州劍橋市（大波士頓地區(qū)），是世界著名私立研究型大學。作為世界頂尖高校，麻省理工學院（MIT）尤其以自然及工程學享譽世界，位列2015-16年世界大學學術排名（ARWU）工程學世界第1、計算機科學第2，與斯坦福大學、加州大學伯克利分校一同被稱為工程科技界的學術領袖。截止2016年，麻省理工共走出了19位圖靈獎（計算機界最高獎）得主；先后有87位諾貝爾獎得主在麻省理工學院工作或學習過。

麻省理工學院出身的經濟學家在經濟學問題上的決策地位上已經占據優(yōu)勢并主導政策話語。這種情況是十分顯著的：前任美聯(lián)儲主席本·伯南克麻省理工學院博士畢業(yè)，歐洲央行主席馬里奧·德拉吉（Mario Draghi,）以及擁有巨大影響的國際貨幣基金組織首席經濟學家奧利維·布蘭查德（Olivier Blanchard,）也是麻省理工學院出身。布蘭查德先生已經退休，但是接任他的莫里斯·奧伯斯法爾德（Maurice Obstfeld）也來自麻省理工學院，他是斯坦勒·費舍爾（Stanley Fischer）的學生。費舍爾曾在麻省理工學院任教多年，前任美聯(lián)儲副主席。

麻省理工學院的經濟學專業(yè)已成為世界各地經濟學莘莘學子心向神往的科學圣殿，在微觀經濟學、宏觀經濟學、計量經濟學等領域亦享有極佳的聲譽。

經濟學系官網地址：http://economics.mit.edu/

科研時間：

時間：6月1日--9月1日，每期時間長度為3—4周

（針對假期只有3周的學生，可選3周實地+1周遠程，確?？蒲惺斋@）

科研主題：

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

面向對象： 

以計劃申請美國名校經濟學、金融工程、數學、統(tǒng)計、計算機等相關專業(yè)的本科生、研究生為主；

科研概述：

麻省理工學院經濟學科研計劃側重于計量經濟學，更具體地包括描述性統(tǒng)計學，數據計算機建模，以及基于正在進行的項目的計量經濟學的數值計算等。 特別是在決策過程中與計量經濟學有關的幾種經典方法將會被詳細介紹，如OLS，MNL，時間序列分析，BP神經網絡，PCA等。一些常用的計量經濟學數學軟件包如MATLAB，SPSS 也將介紹該項目的研究。 此外，麻省理工學院經濟系老師還將介紹EndNote的使用，用于在撰寫論文時對參考書目和參考文獻的管理和使用。總的來說，通過參加這個計劃，學員將從計量經濟學角度發(fā)現(xiàn)，分析和解決實際的經濟問題，有助于學生的長期學術成長。

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.

科研內容：

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.

科研亮點：

1. 進入美國名校實驗室/科研組，接觸尖端科學

為未來赴美深造做準備；科研經歷是美國名校申請的基石，頂級名校的科研項目是對學生有能力完成名校學業(yè)最好的證明。

2. 師從導師開展實驗項目

高層次的人脈和校友關系，與學生為伍的人是諾貝爾獎獲得者、美國科學院院士、教授、名校博士、碩士，學生將體驗到世界最頂級學術專家們的思想和氣質。

3. 獲得導師推薦信和科研證書

對于優(yōu)秀學生可以獲得名校導師的推薦信，大大助力未來的留學申請；

4. 全天候專業(yè)英語環(huán)境，迅速提升專業(yè)水平

提升溝通和專業(yè)英語水平，提升專業(yè)知識和能力，用實踐使學生的理論知識更加具體形象。

5. 高含金量收獲助力未來留學深造及就業(yè)

在名校導師指導下的科研過程將幫助學生明確自身發(fā)展方向，不斷深化對于美國學界的了解與認同，幫助參與學生及家長明確未來的學校及專業(yè)申請方向；從而更好的明確留學的目的與意義，擺脫盲目，獲得真知。

科研收獲：

1.體會MIT快節(jié)奏的學術氛圍，挑戰(zhàn)自身能力；

2.拓寬學生視野。MIT學術排名長期處于美國前三；

3.學生將有機會與頂尖教授零距離交流，了解學術界的前沿風向；

4.學生將在進入大學學習前，全面了解MIT和其他頂級美國大學經濟系的培養(yǎng)流程，并對專業(yè)有完整的認知，不僅為大學打下一個良好的基礎，也對學生今后的專業(yè)選擇或者人生規(guī)劃有很大的助益。

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