Anticipated utility: A measure representation approach

1989 ◽  
Vol 19 (1) ◽  
pp. 359-373 ◽  
Author(s):  
Uzi Segal
Keyword(s):  
Anticipated Utility ◽  
Measure Representation

PaReSoGo: Dataset on party representation of social groups for 25 countries, 2002–2016

2021 ◽  
pp. 135406882110238
Author(s):  
Olga Zelinska ◽  
Joshua K Dubrow
Keyword(s):  
Social Groups ◽  
European Social Survey ◽  
Political Elite ◽  
The Political ◽  
Dissimilarity Index ◽  
Social Scientists ◽  
Social Survey ◽  
Measure Representation ◽  
Gender And Age ◽  
The Masses

Whereas social scientists have devised various ways to measure representation gaps between the political elite and the masses across nations and time, few datasets can be used to measure this gap for particular social groups. Minding the gap between what parties social groups vote for and what parties actually attain seats in parliament can reveal the position of social groups in the political power structure. We help to fill this gap with a new publicly available dataset, Party Representation of Social Groups (PaReSoGo), consisting of 25 countries and 150 country-years, and a method for its construction. We used the European Social Survey 2002–2016 and ParlGov data for this time span to create a Dissimilarity Index. To demonstrate the utility and flexibility in the combination of cross-national surveys and administrative data, we chose social groups of gender, age, and education, as well as intersectional groups based on gender and age, and attitudinal groups. We conclude this research note with empirical illustrations of PaReSoGo’s use.

Anticipated Utility and Dynamic Choice (1997)

2008 ◽  
pp. 242-274 ◽  
Author(s):  
David M. Kreps
Keyword(s):  
Dynamic Choice ◽  
Anticipated Utility

scholarly journals Prediction of magnetic storm events using the <i>D<sub>st</sub></i> index

2005 ◽  
Vol 12 (6) ◽  
pp. 799-806 ◽  
Author(s):  
V. V. Anh ◽  
Z. G. Yu ◽  
J. A. Wanliss ◽  
S. M. Watson
Keyword(s):  
Time Series ◽  
Magnetic Storm ◽  
Iterated Function System ◽  
Numerical Results ◽  
Function System ◽  
Storm Events ◽  
Dst Index ◽  
Measure Representation ◽  
Iterated Function

Abstract. This paper provides a method to predict magnetic storm events based on the time series of the Dst index over the period 1981-2002. This method is based on the multiple scaling of the measure representation of the Dst time series. This measure is modeled as a recurrent iterated function system, which leads to a method to predict storm patterns included in its attractor. Numerical results are provided to evaluate the performance of the method in outside-sample forecasts.

On the anticipated utility of RCM CP data for freshwater ICE mapping and monitoring

2014 ◽  
Author(s):  
J. J. van der Sanden ◽  
T. Geldsetzer ◽  
H. Drouin ◽  
A. Deschamps
Keyword(s):  
Freshwater Ice ◽  
Anticipated Utility

scholarly journals Measure representation and multifractal analysis of complete genomes

2001 ◽  
Vol 64 (3) ◽  
Author(s):  
Zu-Guo Yu ◽  
Vo Anh ◽  
Ka-Sing Lau
Keyword(s):  
Multifractal Analysis ◽  
Measure Representation ◽  
Complete Genomes

The Anticipated Utility of Zoos for Developing Moral Concern in Children

2009 ◽  
Vol 52 (4) ◽  
pp. 349-361 ◽  
Author(s):  
John Fraser
Keyword(s):  
Moral Concern ◽  
Anticipated Utility

scholarly journals Fractal analysis of measure representation of large proteins based on the detailed HP model

2004 ◽  
Vol 337 (1-2) ◽  
pp. 171-184 ◽  
Author(s):  
Zu-Guo Yu ◽  
Vo Anh ◽  
Ka-Sing Lau
Keyword(s):  
Fractal Analysis ◽  
Large Proteins ◽  
Hp Model ◽  
Measure Representation

scholarly journals On atom-swarming and Luce’s theorem for probabilistic beliefs

2020 ◽  
Author(s):  
Andrew Mackenzie
Keyword(s):  
New York ◽  
Measurement Theory ◽  
Academic Press ◽  
Third Order ◽  
Qualitative Probability ◽  
Measurement Volume ◽  
Measure Representation ◽  
Polynomial Representations ◽  
Probabilistic Beliefs ◽  
Probability Spaces

Abstract For qualitative probability spaces, monotone continuity and third-order atom-swarming are together sufficient for a unique countably additive probability measure representation that may have atoms (Mackenzie in Theor Econ 14:709–778, 2019). We provide a new proof by appealing to a theorem of Luce (Ann Math Stat 38:780–786, 1967), highlighting the usefulness of extensive measurement theory (Krantz et al. in Foundations of Measurement Volume I: Additive and Polynomial Representations. Academic Press, New York, 1971) for economists.

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