2012
DOI: 10.1016/j.jebo.2012.04.002
|View full text |Cite
|
Sign up to set email alerts
|

Commodity cycles, a function of market complexity? Extending the cobweb experiment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
28
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 24 publications
(29 citation statements)
references
References 36 publications
1
28
0
Order By: Relevance
“…AMI enables the implementation of demand-response (DR) initiatives designed to encourage fuller demand-side participation in power system operations. Power system researchers are currently exploring three basic types of DR initiatives: 2 (i) Incentive-Based Load Control: Down/up adjustments in the power usage of business and household devices are undertaken, either in response to direct requests from designated parties, 3 or via device switches under the remote control of designated parties, with compensation at administratively set rates.…”
Section: Background Motivationmentioning
confidence: 99%
“…AMI enables the implementation of demand-response (DR) initiatives designed to encourage fuller demand-side participation in power system operations. Power system researchers are currently exploring three basic types of DR initiatives: 2 (i) Incentive-Based Load Control: Down/up adjustments in the power usage of business and household devices are undertaken, either in response to direct requests from designated parties, 3 or via device switches under the remote control of designated parties, with compensation at administratively set rates.…”
Section: Background Motivationmentioning
confidence: 99%
“…This calls for models that capture delays, feedbacks, and nonlinearities. When such complications are in place, series of laboratory experiments, all replicating field data, show that misperceptions can lead to non-monotonic developments, for instance: asset market bubbles (Smith et al, 1988), renewable resource depletion (Moxnes, 1998), instability of supply chains (Sterman, 1989), bankruptcy of businesses with new and popular products (Paich and Sterman, 1993), and fluctuations in commodity markets (Arango and Moxnes, 2012). The Great Depression of the 1930s and the financial crisis of 2008 illustrate a widespread inability to forecast and, more importantly, a failure to prevent non-monotonic global developments via the enactment of stabilizing policies.…”
Section: First Questionnairementioning
confidence: 99%
“…The system dynamics community has been at the forefront in developing and using microworld simulations in training and education (Meadows, ; Morecroft and Sterman, ; Özgün and Barlas, ; Sterman, ). In addition, an active research stream on misperceptions of feedback shows that learning and performance on complex microworld simulations is typically poor, even relative to the performance levels achieved using relatively simple decision heuristics (Arango and Moxnes, ; Diehl and Sterman, ; Gary et al , ; Gary and Wood, ; Moxnes, , b; Paich and Sterman, ; Sterman, , b). More research is needed that can provide guidance about the design of instructional materials to enhance learning and performance from microworlds.…”
Section: Introductionmentioning
confidence: 99%