The course covers the basic tools of estimation and inference in the context of the single equation multivariate linear regression model, and deals primarily with least squares methods of estimation. The course emphasizes the intuitive understanding and practical application of these basic tools of regression analysis, as distinct from their formal theoretical development. The focus is on conceptual understanding and ‘hands-on’ applications using economic data drawn from real-world examples, rather than on formal theoretical proofs. By the end of the semester, students should be able to appreciate and interpret the econometric and statistical analysis reported in many studies in economics and be able to carry out and interpret their own econometric analysis.

• Homework and Computer assignments (15%): There are several homework and computer lab hand-in exercises worth 15% total towards your final grades.

• Exams (55%): a 60-minute mid-semester test (25%) and a two-hour final examination (30%). The date of the final exam is set by the University and I cannot change it. Also, university policies do not allow me to have make-up exams prior to this date. Those of you who plan to leave for the summer holiday must make travel plans accordingly.

•  Reading report (15%): Two reading reports of assigned papers each worth 5%. You should turn in a report of 1000 words at least for each assigned article not later than Friday, 04/26/2019 and Friday, 05/31/2019 respectively.

• Team Project (15%): You are required to collect your own data sets provided to conduct an empirical analysis of an economic problem. The project will be conducted in teams of 2 students. Groups are required to submit a written report on Friday, 06/26/2019, and to give a 10-minute presentation of your results during classes in the 18th week. In addition, each student must individually submit an executive summary of the project. Details for this project will be provided in a separate document.

1. 基本的概率论和统计学知识储备；

2. 个人自备电脑和可使用的Stata软件（第12版本或以上版本即可）；

主打教材

1.《Introductory Econometrics: A Modern Approach》(6th edition, 原版影印), Jeffrey M. Wooldridge著, 清华大学出版社2017年出版。

参考资料

1.《基本无害的计量经济学-实证研究者指南》，Joshua D. Angrist，Jörn-Steffen Pischke著，郎金焕，李井奎译，格致出版社2017年出版；

2.《金融计量经济学导论》（3rd edition, 中译本），Chris Brooks著，王鹏译，格致出版社2019年出版；

3. 《计量经济学及Stata应用》，陈强著，高等教育出版社2015年出版。

如有任何关于课程的问题，请联系2019206021@njau.edu.cn。