Summer Session 2017
Introduction to Economics of IS and Research Methodology
Introduction to Economics of IS and Research Methodology
- This session is designed to discuss how to apply research methodologies into academic papers by focusing on the literature on "Economics of IS", consisting of three parts: (1) Econometrics, (2) Data Analytics and Machine Learning, (3) Behavioral Research Methodology.
- All materials can be downloaded at each page.
- Contributors: Jiyong Park (Organizer, jiyong.park@kaist.ac.kr), Junyeong Lee (junyeonglee@ustc.edu.cn), Hyeokkoo Eric Kwon (hkkwon7@business.kaist.ac.kr), Yoonseock Son (yoonism@business.kaist.ac.kr), Jongho Kim (jonghkim@kaist.ac.kr)
- If you are interested in being a contributor about any topics (even not included in the lists), please feel free to contact Jiyong Park.
1st Week
(6/29, 14:00~15:30)
- Introduction
- What is Economics of IS?
1st Week
(8/10, 14:00~15:30)
- Causal Inference versus Prediction
- Are they substitutes or complements?
1st Week
(8/3, 14:00~15:30)
- Structural Equation Model for Survey Data (1)
2nd Week
(7/6, 14:00~15:30)
- Regression Framework
- Why is ordinary least square (OLS) not enough?
2nd Week
(8/16, 14:00~15:30)
- Predictive Analytics
2nd Week
(8/7, 14:00~15:30)
- Structural Equation Model for Survey Data (2)
3rd Week
(7/13, 14:00~15:30)
- Instrumental Approach
- Two-stage least square (2SLS)
- Selection model
3rd Week
(8/23, 14:00~15:30)
- Machine Learning and Deep Learning
- How can it be applied to the empirical research?
4th Week
(7/20, 14:00~15:30)
- Experimental Approach
- Randomized experiment
- (Natural) Quasi-experiment
4th Week
(8/19, 15:00~16:30)
- (Technical Session) Exploiting Unstructured Data
(Step 1) Web crawling
5th Week
(7/27, 14:00~15:30)
- Identification Strategy and Model Uncertainty
5th Week
(8/26, 15:00~16:30)
- (Technical Session) Exploiting Unstructured Data
(Step 2) Applying cloud-based APIs