Unknown

Dataset Information

0

Universal time preference.


ABSTRACT: Time preferences are central to human decision making; therefore, a thorough understanding of their international differences is highly relevant. Previous measurements, however, vary widely in their methodology, from questions answered on the Likert scale to lottery-type questions. We show that these different measurements correlate to a large degree and that they have a common factor that can predict a broad spectrum of variables: the countries' credit ratings, gasoline prices (as a proxy for environmental protection), equity risk premiums, and average years of school attendance. The resulting data on this time preference factor for N = 117 countries and regions will be highly useful for further research. Our aggregation method is applicable to merge cross-cultural studies that measure the same latent construct with different methodologies.

SUBMITTER: Rieger MO 

PROVIDER: S-EPMC7888607 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

altmetric image

Publications

Universal time preference.

Rieger Marc Oliver MO   Wang Mei M   Hens Thorsten T  

PloS one 20210217 2


Time preferences are central to human decision making; therefore, a thorough understanding of their international differences is highly relevant. Previous measurements, however, vary widely in their methodology, from questions answered on the Likert scale to lottery-type questions. We show that these different measurements correlate to a large degree and that they have a common factor that can predict a broad spectrum of variables: the countries' credit ratings, gasoline prices (as a proxy for e  ...[more]

Similar Datasets

| S-EPMC5541952 | biostudies-literature
| S-EPMC8943337 | biostudies-literature
| S-EPMC9160949 | biostudies-literature
| S-EPMC3191275 | biostudies-literature
| S-EPMC4901361 | biostudies-literature
| S-EPMC4610510 | biostudies-literature
| S-EPMC2443376 | biostudies-literature
| S-EPMC5051968 | biostudies-literature
| S-EPMC7166972 | biostudies-literature
| S-EPMC8594773 | biostudies-literature