Inertia in binary choices: Continuity breaking and big-bang bifurcation points
Journal of Economic Behavior & Organization, ISSN: 0167-2681, Vol: 80, Issue: 1, Page: 153-167
2011
- 19Citations
- 19Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In several situations the consequences of an actor’s choices are also affected by the actions of other actors. This is one of the aspects which determines the complexity of social systems and make them behave as a whole. Systems characterized by such a trade-off between individual choices and collective behavior are ubiquitous and have been studied extensively in different fields. Schelling, in his seminal papers (1973, 1978), provided an interesting analysis of binary choice games with externalities. In this work we analyze some aspects of actor decisions. Specifically we shall see what are the consequences of assuming that switching decisions may also depend on how close to each other the payoffs are. By making explicit some of these aspects we are able to analyze the dynamics of the population where the actor decision process is made more explicit and also to characterize several interesting mathematical aspects which contribute to the complexity of the resulting dynamics. As we shall see, several kinds of dynamic behaviors may occur, characterized by cyclic behaviors (attracting cycles of any period may occur), also associated with new kinds of bifurcations, called big-bang bifurcation points, leading to the so-called period increment bifurcation structure or to the period adding bifurcation structure.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0167268111000904; http://dx.doi.org/10.1016/j.jebo.2011.03.004; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=80052724414&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0167268111000904; https://api.elsevier.com/content/article/PII:S0167268111000904?httpAccept=text/xml; https://api.elsevier.com/content/article/PII:S0167268111000904?httpAccept=text/plain
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know