MIT經(jīng)濟(jì)學(xué)科研組會(huì)議室
欲申請(qǐng)美國(guó)美國(guó)名校經(jīng)濟(jì)學(xué)等相關(guān)專(zhuān)業(yè)的高中生、大學(xué)生
寒假,暑假,每期時(shí)間長(zhǎng)度為3-4周
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.
麻省理工學(xué)院(Massachusetts Institute of Technology, MIT),創(chuàng)立于1861年,坐落于美國(guó)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(xué)。作為世界頂尖高校,麻省理工學(xué)院(MIT)尤其以自然及工程學(xué)享譽(yù)世界,位列2015-16年世界大學(xué)學(xué)術(shù)排名(ARWU)工程學(xué)世界第1.計(jì)算機(jī)科學(xué)第2.與斯坦福大學(xué)、加州大學(xué)伯克利分校一同被稱(chēng)為工程科技界的學(xué)術(shù)領(lǐng)袖。截止2016年,麻省理工共走出了19位圖靈獎(jiǎng)(計(jì)算機(jī)界最高獎(jiǎng))得主;先后有87位諾貝爾獎(jiǎng)得主在麻省理工學(xué)院工作或?qū)W習(xí)過(guò)。
科研主題: 經(jīng)濟(jì)學(xué)-房地產(chǎn)行業(yè)計(jì)量經(jīng)濟(jì)學(xué);
科研導(dǎo)師:MIT經(jīng)濟(jì)學(xué)專(zhuān)業(yè)導(dǎo)師;
科研地點(diǎn):MIT經(jīng)濟(jì)學(xué)科研組會(huì)議室;
科研時(shí)間:寒假,暑假,每期時(shí)間長(zhǎng)度為3-4周;具體情況根據(jù)學(xué)生面試情況由美方進(jìn)行調(diào)整;
報(bào)名后1周安排面試,面試前輔導(dǎo)學(xué)生閱讀1篇專(zhuān)業(yè)論文。
1.挑戰(zhàn)自身潛能,切身體會(huì)世界理工之最——麻省理工學(xué)院嚴(yán)苛的學(xué)術(shù)氛圍。通過(guò)參加2~4周緊張而豐富的科研,學(xué)生能親身體會(huì)國(guó)際精英們?cè)谶@樣的學(xué)術(shù)氛圍下如何完成自身成長(zhǎng);
2.極大拓寬學(xué)生視野。麻省理工學(xué)院(MIT)作為世界頂尖高校,學(xué)生將從經(jīng)濟(jì)學(xué)的角度分析和解決實(shí)際經(jīng)濟(jì)問(wèn)題,并參與房?jī)r(jià)預(yù)測(cè)會(huì)議,對(duì)房地產(chǎn)市場(chǎng)有自己的見(jiàn)解。
3.科研完成后,學(xué)生將會(huì)全面了解并體會(huì)到麻省理工學(xué)院的授課及培養(yǎng)流程,并對(duì)經(jīng)濟(jì)學(xué)專(zhuān)業(yè)有一個(gè)完整的認(rèn)知,將對(duì)學(xué)生今后的專(zhuān)業(yè)選擇以及后續(xù)專(zhuān)業(yè)課程學(xué)習(xí)幫助良多;
4.同時(shí),經(jīng)過(guò) 2~4周的美國(guó)學(xué)習(xí)生活,學(xué)生能夠?yàn)閷?lái)的赴美留學(xué)打下基礎(chǔ),并且能夠根據(jù)自身情況對(duì)未來(lái)有更清晰的規(guī)劃。在面臨人生選擇和確定發(fā)展方向的十字路口,這一段經(jīng)歷將會(huì)成為學(xué)生十分寶貴的財(cái)富。
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