The 2020 JLU Quantitative Economics Seminar: Econometric Methods and Software Exhibition

FatData system and its application on Big data Econometrics

Lecturer : Yang Liu, Jilin University

Presenter : Zhonglin Bai, Tianjin University of Finance and Economics

Location : ZOOM Meeting Room, ID: 9625852673

Time : 

2020/8/30 18：00-20：00（UTC+8）  

2020/8/30 06：00-08：00（UTC-5）

2020/8/30 11：00-13：00（UTC+0）

2020/8/30 20：00-22：00（UTC+10）

Introduction：Koop (2016) divides big data into two types: "high data" with more observations and "fat data" with more variables. The empirical application of "fat data" appears more and more in many fields of economics. Econometricians want to consider more and more variables, but the number of observations is still limited. In contrast to the "high data" case at which data science excites, big data econometrics, which incorporates ideas of machine learning, seems to have the edge. FatData time series analysis system base on service-oriented architecture emerges as The Times require, providing a new interface for industry-university-Research cooperation in the field of economy and finance. Taking the classical problem of seasonal time series modeling and the research papers of Hidden Markov model as examples, the system ecology and application methods are introduced.

About the Lecturer: Liu Yang, Ph.D. in Economics, associate professor, Quantitative Economics Research Center, Jilin University, And Business School, Jilin University. The main research direction is Bayesian Econometrics Method and its application in the field of Macroeconomic and Financial Econometrics, in-depth research on big data econometrics method based on the extended time series model of Hidden Markov Model with the development of machine learning ideas. In recent years, he has published more than 20 papers in CSSCI journals such as Economic Review, Application of Statistics and Management, and Journal of Management Science. He is the main researcher of the national key project of social science and the key project of social science research of the Ministry of Education. Complete the research and development of important seasonal adjustment system project on data processing system; He has co-published 1 academic monograph and edited 2 Computer Technology Books.