Non-Equilibrium Social Science and Policy
Dados Bibliográficos
| ID | 20036498 |
|---|---|
| Autores | Jeff Johnson (0000-0003-2672-3197, The Open University, autor correspondente), Jeffrey Johnson (0000-0001-8290-2857), Paul Ormerod (0000-0002-2312-2452, Volterra (United Kingdom)), Bridget Rosewell (Volterra (United Kingdom)), Andrzej Nowak (0000-0003-0026-8288, University of Warsaw), Yi‐Cheng Zhang (0000-0002-2140-9118, University of Fribourg), Yi-Cheng Zhang |
| Ano | 2017 |
| Páginas | 1-17 |
| Data de publicação | 2017-01-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | CHAPTER |
| Periódico | Non-Equilibrium Social Science and Policy (SOURCE_BOOK) |
| Editora | Springer International Publishing (PUBLISHER • SG) |
| DOI | 10.1007/978-3-319-42424-8_1 |
| OpenAlex | W2582134830 |
| ISBN | 9783319424248 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 6 |
Between 2011 and 2014 the European Non-Equilibrium Social Science Project (NESS) investigated the place of equilibrium in the social sciences and policy. Orthodox economics is based on an equilibrium view of how the economy functions and does not offer a complete description of how the world operates. However, mainstream economics is not an empty box. Its fundamental insight, that people respond to incentives, may be the only universal law of behaviour in the social sciences. Only economics has used equilibrium as a primary driver of system behaviour, but economics has become much more empirical at the microlevel over the past two decades. This is due to two factors: advances in statistical theory enabling better estimates of policy consequences at the microlevel, and the rise of behavioural economics which looks at how people, firms and governments really do behave in practice. In this context, this chapter briefly reviews the contributions of this book across the social sciences and ends with a discussion of the research themes that act as a roadmap for further research. These include: realistic models of agent behaviour; multilevel systems; policy informatics; narratives and decision making under uncertainty; and validation of agent-based complex systems models
Applied economics · Complexity economics · Economics · General equilibrium theory · Heterodox economics · Incentive · Mainstream economics · Management science · Microeconomics · Positive economics · Complex Systems and Time Series Analysis · Evolutionary Game Theory and Cooperation · Opinion Dynamics and Social Influence
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 0,22 |
| Intervalo de citações | 2017 - 2020 (4) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |