Stackelberg solutions in macroeconometric policy models with a decentralized decision structure

1980 ◽  
pp. 204-212
Author(s):  
Aart J. de Zeeuw
Keyword(s):  
Stackelberg Solutions ◽  
Policy Models ◽  
Decision Structure ◽  
Decentralized Decision Structure

scholarly journals Bitcoin’s Decentralized Decision Structure

2019 ◽  
pp. 1-5
Author(s):  
Ben R. Craig ◽  
Joseph Kachovec
Keyword(s):  
Decentralized Control ◽  
Control Structure ◽  
Or Efficiency ◽  
Institutional Governance ◽  
Control Structures ◽  
Advantages And Disadvantages ◽  
Long Run ◽  
The World ◽  
Decision Structure ◽  
Decentralized Decision Structure

With the introduction of bitcoin, the world got not just a new currency, it also got evidence that a decentralized control structure could work in practice for institutional governance. This Commentary discusses the advantages and disadvantages of centralized and decentralized control structures by examining the features of the bitcoin payment system. We show that while the decentralized nature of the Bitcoin network "democratizes" payments, it is not obvious that the approach increases the equity or efficiency of markets or that the costs of the decentralized control structure won’t outweigh the benefits in the long run.

Sustainable Financing and Policy Models for Municipal Composting

10.1596/26286 ◽  
2016 ◽  
Author(s):  
Silpa Kaza ◽  
Lisa Yao ◽  
Andrea Stowell
Keyword(s):  
Policy Models ◽  
Sustainable Financing

Complexity and the Art of Public Policy

2016 ◽  
Author(s):  
David Colander ◽  
Roland Kupers
Keyword(s):  
Social Systems ◽  
Policy Framework ◽  
Government Control ◽  
Institutional Structures ◽  
Policy Models ◽  
Benefit Corporations ◽  
Evolving System ◽  
Societal Problems ◽  
Modern Analytical ◽  
Policy Solutions

Complexity science—made possible by modern analytical and computational advances—is changing the way we think about social systems and social theory. Unfortunately, economists’ policy models have not kept up and are stuck in either a market fundamentalist or government control narrative. While these standard narratives are useful in some cases, they are damaging in others, directing thinking away from creative, innovative policy solutions. This book outlines a new, more flexible policy narrative, which envisions society as a complex evolving system that is uncontrollable but can be influenced. The book describes how economists and society became locked into the current policy framework, and lay out fresh alternatives for framing policy questions. Offering original solutions to stubborn problems, the complexity narrative builds on broader philosophical traditions, such as those in the work of John Stuart Mill, to suggest initiatives that the authors call “activist laissez-faire” policies. The book develops innovative bottom-up solutions that, through new institutional structures such as for-benefit corporations, channel individuals’ social instincts into solving societal problems, making profits a tool for change rather than a goal. It argues that a central role for government in this complexity framework is to foster an ecostructure within which diverse forms of social entrepreneurship can emerge and blossom.

scholarly journals Bayesian Methods for Calibrating Health Policy Models: A Tutorial

2017 ◽  
Vol 35 (6) ◽  
pp. 613-624 ◽  
Author(s):  
Nicolas A. Menzies ◽  
Djøra I. Soeteman ◽  
Ankur Pandya ◽  
Jane J. Kim
Keyword(s):  
Health Policy ◽  
Bayesian Methods ◽  
Policy Models
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