演講者: Dan Ariely
演講者: Dan Ariely
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。
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…
Many Internet service companies such as providers of two-sided markets, social networks, or online games rely on the social interaction between their user base and thus capitalize from positive network effects. For such companies, a common strategy is to offer (basic) services for free (and thereby abolish entry barrier of a one-off or recurring price) and to charge their users for premium services. Companies such as eBay, PayPal, LinkedIn, or Skype added paid services to their originally free business models, either via subscriptions, PAYG, or direct sales of virtual items. Their strategy how to make money and whom to bill however differs widely. In the Internet business, ‘monetization’ has become a frequently used buzzword for all aspects of a company’s revenue strategy which includes the decision who should be billed (e.g., for a two-sided market: seller vs. buyer vs. advertisers only), with which price model (e.g., mandatory subscription vs. optional subscriptions vs. selling virtual currency or items) and price level (e.g., differentiated between user groups), and – in case of a freemium strategy – how a new (free) user can be converted most efficiently into a paying and remunerative customer (e.g., via effective CRM measures). The overarching objective of all monetization measures is to maximize the company’s revenue and/or profit. The field of monetization offers a wide field of research opportunities. Four of these are covered in this dissertation: The Name-your-own-price model, users’ spending behavior in virtual communities, the monetization of network effects in social networks, and the legal boundaries of social network usage. As a result, this dissertation solves a series of questions currently being worked on by practitioners and uses a wide range of methods from various disciplines such as economic, psychological, and game theory.
Local interactions and network structures appear to be a prominent feature of many environmental problems. This paper discusses a wide range of issues and potential areas of application, including the role of relational networks in the pattern of adoption of green technologies, common pool resource problems characterized by a multiplicity of sources, the role of social networks in multi-level environmental governance, infrastructural networks in the access to and use of natural resources such as oil and natural gas, the use of networks to describe the internal structure of inter-country relations in international agreements, and the formation of bilateral “links” in the process of building up an environmental coalition. For each of these areas, we examine why and how network economics would be an effective conceptual and analytical tool, and discuss the main insights that we can foresee.
|Keywords:||networks; environmental externalities; technological diffusion; gas pipelines; common-pool-resources; multi-level governance; coalitions|
|By:||Áureo de Paula (Institute for Fiscal Studies and University College London)|
In this article I provide a (selective) review of the recent econometric literature on networks. I start with a discussion of developments in the econometrics of group interactions. I subsequently provide a description of statistical and econometric models for network formation and approaches for the joint determination of networks and interactions mediated through those networks. Finally, I give a very brief discussion of measurement issues in both outcomes and networks. My focus is on identification and computational issues, but estimation aspects are also discussed.
|By:||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.
|Keywords:||Experimental Economics, Classroom Experiment, Trading in Networks|
|JEL:||A22 B21 C92|
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
D4 L1 L8 Z1
|By:||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.
A growing literature relies on natural experiments to establish causal effects in macroeconomics. In diverse applications, natural experiments have been used to verify underlying assumptions of conventional models, quantify specific model parameters, and identify mechanisms that have major effects on macroeconomic quantities but are absent from conventional models. We discuss and compare the use of natural experiments across these different applications and summarize what they have taught us about such diverse subjects as the validity of the Permanent Income Hypothesis, the size of the fiscal multiplier, and about the effects of institutions, social structure, and culture on economic growth. We also outline challenges for future work in each of these fields, give guidance for identifying useful natural experiments, and discuss the strengths and weaknesses of the approach.
|Keywords:||Civic Capital; Fiscal Multiplier; Institutions; Multiple Equilibria; Networks; Permanent Income Hypothesis; Social Structure; Social Ties; Trust|
|JEL:||C1 C9 E21 E62 H31 O11 O14 O43 O50|