这里附贴一个 艾春荣老师 上财的讲课Curriculum ,供大家参考
Graduate Econometrics
Core Curriculum
- Econometrics I: Statistics and classical linear regression
Self-contained introduction to probability and statistics as background for advanced econometrics. Elements of probability theory; sampling theory; asymptotic approximations; decision theory approach to statistical estimation focusing on regression, hypothesis testing, and maximum-likelihood methods. Specification and estimation of the linear regression model. Illustrations from economics and application of these concepts to economic problems.
Require students to be able to use software to run basic least squares, and to replicate an empirical paper. Students should feel comfortable to download big data sets such as CPS or census, and be able to run least square using these data sets.
Textbooks:
PROBABILITY AND STATISTICS, DeGroot, M. and M. Schervish, Addison Wesley, 3rd ed. 2002(86版 民大图书)
ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, Jeffrey Wooldridge. MIT Press.
Possible instructors: Yuanyuan Chen, Shuaizhang Feng, Li Gan, Junji Xiao, Jian Zhou, Yahong Zhou,
- Econometrics II:
Departures from the standard Guass-Markov assumptions include heteroskedasticity, serial correlation, and errors in variables. Advanced topics include generalized least squares, instrumental variables, nonlinear regression, linear panel regression, and limited dependent variable models.
Require students: (1) to simulate datasets with features such as heteroskedasticity, serial correlation, endogenous independent variables, errors in variables, and limited dependent variables; (2) to estimate the simulated datasets.
Textbooks:
ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, Jeffrey Wooldridge. MIT Press.
Possible instructors: Chunrong Ai, Yanqin Fan (Vanderbilt), Li Gan
- Econometrics III
Generalized method of moments, estimation of censored and truncated specifications and duration models, nonlinear panel data regressions, and quantile regressions, and average treatment effects models.
Require students to write a publishable paper (may be in a good Chinese journal or in an English journal) by (i) extending a publishable paper in a meaningful way with additional data or more complicated model; or (ii) by collecting his/her own data to finish a publishable paper (may be a Chinese journal).
Text books:
ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA, Jeffrey Wooldridge. MIT Press, supplemented with journal articles.
THE PRACTICE OF ECONOMETRICS: CLASSIC AND CONTEMPORARY(财大图书)
Possible instructors: Chunrong Ai, Xiaohong Chen, Qi Li, Yanqin Fan
- Topics in Econometrics: Cross Sectional Data
Advanced and newly developed theory and application for microeconometric models. Microeconometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments, nonparametric and semiparametric estimation, bootstrapping, and simulation methods. Methods illustrated with economic applications.
Textbooks:
ADVANCED ECONOMETRICS, T. Amemiya, Harvard University Press, 1985(武大、华科图书)
APPLIED NONPARAMETRIC REGRESSION, W. Hardle, Cambridge University Press, 1992
Possible instructors: Chunrong Ai, Desheng Ouyang, Yahong Zhou
- Topics in Econometrics: Times Series Data
Advanced and newly developed theory and application for times series models. Theory and application of time series methods in econometrics, including representation theorems, decomposition theorems, prediction, spectral analysis, estimation with stationary and nonstationary processes, VARs, unit root process, and cointegration.
Textbooks:
TIME SERIES ANALYSIS, J. D. Hamilton, Princeton University Press, 1994
Possible instructors: Xiaohong Chen, Zhijie Xiao
- Topics in Econometrics: Panel Data
Advanced and newly developed theory and application for Panel Data models. Theory and application of panel data methods in econometrics, including dynamic panel data models, discrete data, unbalanced panel, and non-stationary panel.
Textbook:
ANALYSIS OF PANEL DATA, Cheng Hsiao, Cambridge University Press
Possible instructors: Chunrong Ai, Gan Li, Ji Tao,
- Topics in Econometrics: Financial Econometrics
Advanced and newly developed econometric theory and application used in financial data. Theory and application of financial econometrics, including estimation and testing of asset pricing models, derivative models, term structure models, and high frequency data analysis.
Textbook:
THE ECONOMETRICS OF FINANCIAL MARKETS, Campbell, J. Y., A. W. Lo, and A. C. MacKinlay, Princeton university press, 1996
FINANCIAL ECONOMETRICS: PROBLEMS, MODELS, AND METHODS, Gourieroux C. and J. Jasiak: Princeton university press, 2001(武大图书)
Possible instructors: Dan Liang
This curriculum is pretty much similar to the one adopted at the top departments at US. Textbooks for each course have been suggested. For second and three year courses, some papers should be used to supplement the textbooks. All students are required to take Econometrics I. Doctoral students must also take Econometrics II and III. Students with major in econometrics are also required to take Econometrics IV and V. Finance students and students who plan to write a dissertation in macroeconomics are encouraged to take Econometrics V.