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The Economy as a Complex Spatial System: Macro, Meso and Micro Perspectives

Authors: --- --- --- --- et al.
Book Series: Springer Proceedings in Complexity ISSN: 2213-8684 / 2213-8692 ISBN: 9783319656267 9783319656274 Year: Pages: 220 DOI: https://doi.org/10.1007/978-3-319-65627-4 Language: English
Publisher: Springer
Subject: Economics
Added to DOAB on : 2017-11-24 16:21:26
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This collected volume represents the final outcome of the COST Action IS1104 “The EU in the new complex geography of economic systems: models, tools and policy evaluation”.Visualizing the EU as a complex and multi-layered network, the book is organized in three parts, each of them dealing with a different level of analysis: At the macro-level, Part I considers the interactions within large economic systems (regions or countries) involving trade, workers migration, and other factor movements. At the meso-level, Part II discusses interactions within specific but wide-ranging markets, with a focus on financial markets and banking systems. Lastly, at the micro-level, Part III explores the decision-making of single firms, especially in the context of location decisions.

The Price of Uncertainty in Present-Biased Planning (Book chapter)

Book title: Web and Internet Economics

Authors: ---
ISBN: 9783319719245 Year: Pages: 15 DOI: 10.1007/978-3-319-71924-5_23 Language: English
Publisher: Springer Grant: H2020 European Research Council - 691672
Subject: Computer Science
Added to DOAB on : 2018-03-04 11:01:52
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The tendency to overestimate immediate utility is a common cognitive bias. As a result people behave inconsistently over time and fail
to reach long-term goals. Behavioral economics tries to help affected individuals
by implementing external incentives. However, designing robust
incentives is often difficult due to imperfect knowledge of the parameter
β ∈ (0, 1] quantifying a person’s present bias. Using the graphical model
of Kleinberg and Oren [8], we approach this problem from an algorithmic
perspective. Based on the assumption that the only information about
β is its membership in some set B ⊂ (0, 1], we distinguish between two
models of uncertainty: one in which β is fixed and one in which it varies
over time. As our main result we show that the conceptual loss of effi-
ciency incurred by incentives in the form of penalty fees is at most 2
in the former and 1 + max B/ min B in the latter model. We also give
asymptotically matching lower bounds and approximation algorithms.

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