Journal ArticleDOI
Strategic thinking in public goods games with teams
Caleb A. Cox,Brock Stoddard +1 more
Reads0
Chats0
TLDR
In this paper, the authors investigate team behavior in repeated public goods games and use team chat logs to study motives for contribution, and find strong evidence of concern for repeated game effects and limited backward induction.About:
This article is published in Journal of Public Economics.The article was published on 2018-05-01. It has received 43 citations till now. The article focuses on the topics: Strategic thinking & Repeated game.read more
Citations
More filters
Repository
Is housing still the business cycle? Perhaps not
TL;DR: This article showed that residential investment led GDP under a wide range of specifications, while non-residential investment did not, and showed that the increasing stringency of local land use policy had interfered with the ability of the Federal Reserve to use housing as an instrument on monetary policy.
Journal ArticleDOI
Individual versus group choices of repeated game strategies: A strategy method approach
Timothy N. Cason,Vai-Lam Mui +1 more
TL;DR: It is found that groups use forgiving and tit-for-tat strategies more than individuals in the indefinitely repeated noisy prisoner's dilemma, and Always Defect is the most popular strategy for both groups and individuals.
Posted Content
Group polarization in the team dictator game reconsidered
TL;DR: In this article, the authors re-examine group polarization by letting subjects make individual as well as team decisions in an experimental dictator game, and they find that teams are more selfish than individuals, and the most selfish team member has the strongest influence on team decisions.
Journal ArticleDOI
Payoff-based learning best explains the rate of decline in cooperation across 237 public-goods games.
TL;DR: Bur Burton-Chellew et al. as mentioned in this paper found that contributions in public goods games decline faster when individuals had more influence over their own payoffs, leading to a greater correlation between contributions and payoffs.
Repository
On the Effects of the ECB’s Funding Policies on Bank Lending and the Demand for the Euro as an International Reserve
TL;DR: In this article, the authors investigated the effects of the European Central Bank's monetary policy on banks' lending, taking account of national and regional spillovers. And they also assessed the effect of the ECB's monetary policies on euro reserve holdings.
References
More filters
Journal ArticleDOI
The measurement of observer agreement for categorical data
J. R. Landis,Gary G. Koch +1 more
TL;DR: A general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies is presented and tests for interobserver bias are presented in terms of first-order marginal homogeneity and measures of interob server agreement are developed as generalized kappa-type statistics.
Journal ArticleDOI
G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences
TL;DR: G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested.
Journal ArticleDOI
A Coefficient of agreement for nominal Scales
TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
Journal ArticleDOI
z-Tree: Zurich toolbox for ready-made economic experiments
TL;DR: Z-Tree as mentioned in this paper is a toolbox for ready-made economic experiments, which allows programming almost any kind of experiments in a short time and is stable and easy to use.
Journal ArticleDOI
A general and simple method for obtaining R2 from generalized linear mixed-effects models
TL;DR: In this article, the authors make a case for the importance of reporting variance explained (R2) as a relevant summarizing statistic of mixed-effects models, which is rare, even though R2 is routinely reported for linear models and also generalized linear models (GLM).