Networks in Economics

Theory, Econometrics, and Policy Implications
Erscheinungsjahr 2023
ISBN: 978-0-12-815229-4
Verlag: Elsevier Science

Buch, Englisch, 352 Seiten, Format (B × H): 152 mm x 229 mm

Networks in Economics: Theory, Econometrics, and Policy Implications draws on the latest findings in economics, sociology, physics, computer science and mathematics, providing an empirical review of social network analysis, and their regularities. It discusses random graph-based models as well as strategic models of network formation. The three parts of the book, theory, empirics and policy, are presented in a consistent and interdependent framework. This book supports students, researchers and practitioners, helping them to understand outcomes and behaviors in networked societies, and to be able to evaluate real world policy instruments in this context.

Zielgruppe

<p>Graduate students, 1st year PhDs, and active researchers in economics, computer science, statistics and related fields. Some mathematically inclined policy analysts</p>

Autoren/Hrsg.

Hsieh, Chih-Sheng

Konig, Michael David

Liu, Xiaodong

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

1. Introduction
2. Characterization of Networks
3. Network Algorithms
4. Random Networks
5. Growing Networks
6. Stochastic Networks in Space
7. Strategic Network Formation
8. Games on Networks
9. Coevolution of Networks and Behavior
10. Complexity of Equilibria
11. Econometrics of Interactions in Networks
12. Econometrics of Network Formation
13. The Planner's Perspective
14. Policy Implications

Über Autor(innen)

Liu, Xiaodong
Xiaodong Liu is Associate Professor at University of Colorado, Boulder. His research interests are in econometrics and applied microeconomics. His current research is focused on estimation methods in evaluating the extent of social, spatial and strategic interactions among economic agents.

Hsieh, Chih-Sheng
Chih-Sheng Hsieh is Assistant Professor at The Chinese University of Hong Kong, China. His research interests span over labor economics, health economics, and social networks. In particular, he works on endogenous selection issues inherited in social interaction studies, and empirical network formation to accommodate important features from observed network data, such as homophily in characteristics, behaviors, as well as link dependence.

Konig, Michael David
Michael D. König is a research associate at the Department of Economics at the University of Zurich since 2012. He holds a master's degree in economics from the University of Zurich, a master's degree in theoretical physics from the Technical University of Vienna and a diploma in applied statistics from the Seminar for Statistics at ETH Zurich. Prior to joining the University of Zurich, he was a visiting scholar at the Stanford Institute for Economic Policy Research (SIEPR) and the Department of Economics at Stanford University.