S. Palan, GIMS-Software for asset market experiments. J. Behav. Exp. Finance 5, 1–14, (2015). Medline doi:10.1016/j.jbef.2015.02.001 (可免費閱讀)
GIMS 是架在 z-Tree 上，專門用來跑財務資產市場 (又稱 double auction asset market) 的實驗平台軟體，採開放源碼 (open source) 授權。
此文亦介紹、比較了其它相關的財務市場實驗平台軟體，參見文中的 Table 1。
- EconPort MarketLink(based on Java and experiments can be run over the internet)
- Flex-E-Markets(not open source)
- GIMS(based on z-Tree)
- jMarkets (open-source software based on Java)
- Rotman Interactive Trader (非免費)
- SoPHIE Labs (非免費)
C. F. Camerer, A. Dreber, E. Forsell, T.-H. Ho, J. Huber, M. Johannesson, M. Kirchler, J. Almenberg, A. Altmejd, T. Chan, E. Heikensten, F. Holzmeister, T. Imai, S. Isaksson, G. Nave, T. Pfeiffer, M. Razen, H. Wu. Evaluating replicability of laboratory experiments in economics. Science, 2016; DOI: 10.1126/science.aaf0918
終於有人系統性地檢視經濟實驗, 雖然只挑 AER 和 QJE 所發表的, 但經得起「重覆實驗」來驗證結果的研究, 才符合科學的精神…
==noted by yinung==
分組, 在圈形的網路 topoloty 中, 隨機選兩組進行貿易, 但 transport 經過各組 node 時要付費
- S. Choi, A. Galeotti, S. Goyal.Trading in networks: theory and experiments, -Cambridge-INET Working Paper, 2014
M. Kosfeld. Economic Networks in the Laboratory: A Survey, Institute for Empirical Research
in Economics, University of Zurich, 2015.
||Paul Johnson (Department of Economics and Public Policy, University of Alaska Anchorage)
Qiujie Zheng (Department of Economics and Public Policy, University of Alaska Anchorage)
This paper describes a classroom experiment that demonstrates coordination and competition between traders in a network. Students test theoretical predictions concerning the emergence of equilibrium and the division of surplus between buyers and sellers. The experiment is appropriate for use in teaching intermediate microeconomics, industrial organization, transportation economics and game theory.
||Experimental Economics, Classroom Experiment, Trading in Networks
||A22 B21 C92
Shy, Oz. “A short survey of network economics." Review of Industrial Organization 38.2 (2011): 119-149.
This article surveys a variety of topics that are related to network economics. Topics covered include: consumer demand under network effects, compatibility decisions and standardization, technology advances in network industries, two-sided markets, information networks and intellectual property, and social influence.
Survey Network economics Network industries Network effects Network externalities
==Notes by yinung==
原本獨立的 game 在 linked network 玩會如何呢？
本文介紹了網路位置 (network position) 觀念， 及其對均衡的影響 (Ballester, CalvÛ-Armengol & Zenou (2006) Örst establish the connection between equilibrium action and Bonacich centrality (Bonacich 1987)，另見 Yves Zenou. (2015), “Key players"
(344 Kb) , In: Y. Bramoullé, B.W. Rogers and A. Galeotti (Eds.), Oxford Handbook on the Economics of Networks
, Oxford: Oxford University Press, forthcoming. Vox column)
||Yann Bramoullé (AMSE – Aix-Marseille School of Economics – EHESS – École des hautes études en sciences sociales – Centre national de la recherche scientifique (CNRS) – Ecole Centrale Marseille (ECM) – AMU – Aix-Marseille Université)
Rachel Kranton (Duke University, Department of Economics – Duke University (Durham, USA))
This chapter studies games played on fixed networks. These games capture a wide variety of economic settings including local public goods, peer effects, and technology adoption. We establish a common analytical framework to study a wide game class. We unearth new connections between games in the literature and in particular between those with binary actions, like coordination and best-shot games, and those with continuous actions and linear best replies. We review and advance existing results by showing how they tie together within the common framework. We discuss the game-theoretic underpinnings of key notions including Bonacich centrality, maximal independent sets, and the lowest and largest eigenvalue. We study the interplay of individual heterogeneity and the network and we develop a new notion – interdependence – to analyze how a shock to one agent affects the action of another agent. We outline directions for future research.