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EN
The purpose of the study is to test whether the existence of differences in mean time preferences between countries is a significant determinant of the level of savings, indebtedness, and the size of capital markets across countries. Results show only limited support for the link between time preference and the propensity to save. The paper contains a discussion on the possible reasons for the general lack of support for the hypothesized effects of cross-country time preference heterogeneity.
PL
Celem artykułu jest przedstawienie badania mającego wskazać, czy istnienie różnicy w przeciętnym poziomie preferencji czasowej między krajami stanowi istotną determinantę poziomu oszczędności, zadłużenia i stopnia rozwoju rynków kapitałowych w poszczególnych krajach. Wyniki analizy wskazały wyłącznie na ograniczony związek między preferencją czasową a skłonnością do oszczędzania. W artykule zawarto dyskusję możliwych powodów braku wsparcia dla postulowanych efektów międzykrajowej heterogeniczności w preferencji czasowej.
EN
The introduction of ChatGPT has fuelled a public debate on the appropriateness of using Generative AI (large lan guage models; LLMs) in work, including a debate on how they might be used (and abused) by researchers. In the current work, we test whether delegantig parts of the research process to LLMs leads people to distrust researchers and devalues their sciencfti work. Parctiipants ( N = 402) considered a researcher who delegates elements of the research process to a PhD student or LLM and rated three aspects of such delegation. Firstly, they rated whether it is morally appropriate to do so. Secondly, they judged whether-after deciding to delegate the research process-they would trust the scientist (that decided to delegate) to oversee future projects. Thirdly, they rated the expected accuracy and quality of the output from the delegated research process. Our results show that people judged delegating to an LLM as less morally acceptable than delegating to a human (d = -0.78). Delegation to an LLM also decreased trust to oversee future research projects (d = -0.80), and people thought the results would be less accurate and of lower quality (d = -0.85). We discuss how this devaluation might transfer into the underreporntig of Generavtie AI use.
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