主办单位：南京财经大学 公共财政研究中心 / 财政与税务学院
暑期课程的主要内容(Topics and Literature)：
In line with the course objectives, two blocks of topics are covered in the lecture sequence. The primary focus of the first block is on the benchmark DSGE models and the macroeconomic theories behind. The basic principles and conditions for building a DSGE model is also covered:
2.The basic real business cycle (RBC) model, dynamic programming and the Lagrangian approach
3.Loglinearization and the Blanchard and Kahn condition
4.Fiscal policy in a RBC environment
5.A classic monetary model
6.The basic New Keynesian model and monetary policy
The second block is devoted to the methods and tools used in solving and estimating the DSGE models in a general setting:
1.Perturbation in DSGE models
2.The Kalman filter
3.Bayesian estimation of state space models
4.Bayesian estimation of DSGE models
5.Estimating DSGE models with the generalized method of moments (GMM)
All the lectures are based on the selected articles and (chapters of) books. The main references include Ljungqvist and Sargent (2012), Judd (1998) and Herbst and Schorfheide (2016).
While this course is positioned itself as a public program, regular attendance is essential and is advised for participants to develop a comprehensive and consistent understanding of the topics.
Lecturer: Hong Lan. Dr. Hong Lan graduated from the School of Business and Economics, Humboldt University of Berlin (HU) with a MSc and a PhD in economics, and he currently is an assistant professor at the School of Finance, University of International Business and Economics (UIBE). His primary research interests focus on the numerical methods and their application to the analysis of the dynamic stochastic general equilibrium models (DSGE). In this subject, Dr. Lan and his coauthor Dr. Alexander Meyer-Gohde developed the nonlinear moving average solution algorithm of DSGE (https://github.com/lanhongken/nlma), which was published in the Journal of Economic Dynamics and Control. He is also interested in the search theory and its applications in macroeconomics, and has published his own result on this subject in the Computational Economics.
During his stay in HU, Dr. Lan gave both lecture and tutorial session of advanced macroeconomic analysis to PhD students for years. That course covered a range of, based on Ljungqvist and Sargent's textbook, modern macroeconomic theories and methodologies. He also gave research seminars of functional analysis for PhD students who was interested in computational economics.