Expected inheritance and pension attitudes among young people in EU post-communist vs. Anglosphere countries
Bibliographic record
Abstract
The goal of the study is to evaluate the influence of participants' expected inheritance (assets) on their attitudes toward etatism and pension benefits. The primary question is whether young people with an expected family inheritance exhibit different attitudes in these areas. Additionally, the study examines attitudes across gender, age, and country. One of the most significant challenges of pensions is preserving value over an individual's lifetime, as there is no definitive answer regarding which assets perform best in this regard. Public skepticism toward the pension system and the state is common, complicating matters further. This problem is particularly pronounced among younger individuals who have yet to assume full economic and financial responsibilities. They are often less economically literate and have limited access to financial advice. However, they do receive some foundational prior knowledge from their homes. The rationale for incorporating attitudes towards pensions as a valid variable is that prior knowledge plays a crucial role in judgments on specific issues, such as preserving value in the future or evaluating long-term investments. Even without personal experience, individuals have attitudes that shape their judgments. Overall, more than 700 people participated in the study. After removing outliers, N= 531 valid cases from seven countries: Poland, Romania, the USA, the UK, Canada, and Ireland. A power analysis preceded the testing of the MANOVA model. We found a significant difference in attitudes among participants who grew up in families investing in real estate and tangible assets. Those from families that invested in tangible assets exhibited a stronger concern regarding pension benefits, implying that people with such investments feel less secure about their pensions. Additionally, we found a significant interaction effect between the type of country and expected inheritance. In the Anglosphere countries, people have more positive attitudes toward etatism and pension benefits compared to those in Poland and Romania. This outcome confirms stronger kinship ties in the latter countries and a higher cultural attachment to real estate.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".