The course aims to show how economic principles can be applied in practice, by incorporating the theoretical insights together with relevant empirical evidence. In particular, students will learn how to make a causal inference when conducting empirical studies. This course introduces the fundamental empirical methods and their applications in a range of topics of applied microeconomics, including health, labor, education, welfare, regional economics, tax and public policy, political economy, and industrial organization. In specific, the course covers the following two parts:
1. Empirical methods in microeconomics: linear models, panel data models, binary and multinomial response models
2. Topics in applied microeconomics: health, labor, education, welfare, regional economics, tax and public policy, political economy, and industrial organization.

The course aims to show how economic principles can be applied in practice, by incorporating the theoretical insights together with relevant empirical evidence. In particular, students will learn how to make a causeal inference when conducting empirical studies. This course introduces the fundamental empirical methods and their applications in a range of topics of applied microeconomics, including health, labor, education, welfare, regional economics, tax and public policy, political economy, and industrial organization. In specific, the course covers the following two parts:
1. Empirical methods in microeconomics: linear models, panel data models, binary and multinomial response models
2. Topics in applied microeconomics: health, labor, education, welfare, regional economics, tax and public policy, political economy, and industrial organization.

The course aims to show how economic principles can be applied in practice, by incorporating the theoretical insights together with relevant empirical evidence. In particular, students will learn how to make a causal inference when conducting empirical studies. This course introduces the fundamental empirical methods and their applications in a range of topics of applied microeconomics, including health, labor, education, welfare, regional economics, tax and public policy, political economy, and industrial organization.

The course aims to show how economic principles can be applied in practice, by incorporating the theoretical insights together with relevant empirical evidence. In particular, students will learn how to make a causeal inference when conducting empirical studies. This course introduces the fundamental empirical methods and their applications in a range of topics of applied microeconomics, including health, labor, education, welfare, regional economics, tax and public policy, political economy, and industrial organization.

授課教師準備之課程講義。
Joshua D. Angrist and Jörn-Steffen Pischke(2009), Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University (MHE).

Course explanations for teaching teachers to prepare.
Joshua D. Angrist and Jörn-Steffen Pischke (2009), Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University (MHE).