Courses
This is a health economics course for the Master and Ph.D. level. The purpose of this course is to teach students to analyze the health market using the economic tools. The class will begin with some backgrounds on U.S. and Taiwan institutions, then move to the topics such as moral hazard and adverse selection in the insurance market, benefits of medical care, physician-patient interaction, and payment systems for providers. Each topic covers several selected papers, including both theoretical and empirical ones.
The primary objective of this course is to provide an introduction to the theory and application of quantative methods (econometrics). The course provides the foundation for further studies in Econometrics as well as serving the needs of students undertaking further studies in economics and commerce. To complete this course, students are expected to use statistical software to manage data, test hypotheses, and conduct empirical research on their own. Topics include estimation and testing of hypotheses, forecasting and construction of prediction intervals, use of appropriate functional forms, detection and correction of measurement problems, model specication, and use of statistical software programs for single equation regression analysis (STATA, Excel).
本課程中將介紹大數據在研究經濟和社會問題時所扮演的角色及應用。在課程中，學生將接觸到應用經濟和社會科學的研究前沿。本課程所涵蓋的社會科學議題包含所得分配、機會平等、高等教育、性別平等、醫療公平、氣候變遷。在這些主題下，本課程將介紹基本的統計和數據分析方法，包括迴歸分析分析、因果推論、準實驗方法和機器學習。本課程有三個主要的學習目標：
一、介紹關於國際和台灣社會和經濟問題的前沿社會科學研究。
二、以計量方法理解和分析數據。
三、使用「大數據」分析社會問題。
The rise of Big Tech is disrupting long entrenched industries across the world, giving rise to new
multifaceted challenges for the next generation of tech business leaders. When companies enter
new markets, they inevitably confront new, and often unfamiliar, problems operating across bor-
ders and encounter di¤erent regulatory and cultural systems. Big Tech
rms wrangle with such
challenges more than most due to their limited pre-existing global infrastructure and ambitious
growth objectives.
