Risk, time pressure, and selection effects [Dataset] (ICPSR doi:10.11588/data/GBKK4O)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Risk, time pressure, and selection effects [Dataset]

Identification Number:

doi:10.11588/data/GBKK4O

Distributor:

heiDATA

Date of Distribution:

2018-05-20

Version:

1

Bibliographic Citation:

Kocher, Martin G.; Schindler, David; Trautmann, Stefan T.; Xu, Yilong, 2018, "Risk, time pressure, and selection effects [Dataset]", https://doi.org/10.11588/data/GBKK4O, heiDATA, V1, UNF:6:pP3XUM9b1UVsjEaoU0RTig== [fileUNF]

Study Description

Citation

Title:

Risk, time pressure, and selection effects [Dataset]

Identification Number:

doi:10.11588/data/GBKK4O

Authoring Entity:

Kocher, Martin G. (University of Vienna, IHS Vienna)

Schindler, David (Department of Economics and CentER, Tilburg University)

Trautmann, Stefan T. (Alfred-Weber-Institute for Economics, Heidelberg University)

Xu, Yilong (Alfred-Weber-Institute for Economics, Heidelberg University)

Producer:

Kocher, Martin G.

Schindler, David

Trautmann, Stefan T.

Xu, Yilong

Grant Number:

CRC TRR 190

Distributor:

heiDATA

Date of Distribution:

2018-05-20

Study Scope

Keywords:

Social Sciences, Risk, Cognitive ability, Selection, Time pressure

Topic Classification:

C91, D81

Abstract:

Time pressure is a central aspect of economic decision making nowadays. It is therefore natural to ask how time pressure affects decisions, and how to detect individual heterogeneity in the ability to successfully cope with time pressure. In the context of risky decisions, we ask whether a person’s performance under time pressure can be predicted by measurable behavior and traits, and whether such measurement itself may be affected by selection issues. We find that the ability to cope with time pressure varies significantly across decision makers, leading to selected subgroups that differ in terms of their observed behaviors and personal traits. Moreover, measures of cognitive ability and intellectual efficiency jointly predict individuals’ decision quality and ability to keep their decision strategy under time pressure.

Methodology and Processing

File Description--f1646

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  • Number of cases: 215

  • No. of variables per record: 3

  • Type of File: text/tab-separated-values

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Variable Description

List of Variables:

Variables

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