Actions for Next-Generation of Empirical Research in Economics [electronic resource]
Next-Generation of Empirical Research in Economics [electronic resource] / edited by Keijiro Otsuka, Takashi Kurosaki, Yasuyuki Sawada, Tetsushi Sonobe
- Published
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Edition
- 1st ed. 2024.
- Physical Description
- VIII, 249 p. 11 illus., 3 illus. in color. online resource
- Additional Creators
- Otsuka, Keijiro, Kurosaki, Takashi, Sawada, Yasuyuki, Sonobe, Tetsushi, and SpringerLink (Online service)
Access Online
- Contents
- Introduction -- Intergenerational Transformation of Empirical Research in Economics -- Implementing Empirical Economics into Policymaking -- Challenges in Empirical Research in Economics: The Way Forward -- The Next Generation of Empirical Labor Economics -- Past and Future of Empirical Development Economics -- Empirical Analysis in the Economics of International Trade: Recent Progress and Challenges -- From Behavioral Economics to Behavioral Science -- "Swallowed" Economic History: The Significance of Economic History Research in Economics -- Difficulties in Conducting Empirical Research in Macroeconomics: Evaluating Policies for Economic Growth -- Conclusion.
- Summary
- Leading Japanese economists passionately discuss the frontiers of empirical research in economics and the future of it in this book. The book explores the impact that recent econometrics and empirical research has had on labor economics, development economics, international trade theory, behavioral economics, economic history, and macroeconomics. Each chapter consists of a main text, comments, and replies by leading experts in each sub-discipline. Basic knowledge of statistics and qualitative economics is ideal, but not essential to appreciate the book. This book is ideal for students and scholars who wish to learn about cutting-edge empirical research in economics and learn how to apply it to their own research.
- Subject(s)
- ISBN
- 9789819718870
- Digital File Characteristics
- text file PDF
- Part Of
- Springer Nature eBook
View MARC record | catkey: 44559675