The Distribution of Top Incomes in Five Anglo-Saxon Countries over the Twentieth Century
Bibliographic record
Abstract
Taxation data have been used to create long-run series for the distribution of top incomes in quite a number of countries. Most of these studies have focused on the national experience of individual countries, but we can also learn from cross-country comparisons. Comparative analysis is therefore the next stage in the research program. At the same time, we know from other fields that there are dangers in simply pooling all available time series, without regard to the specific nature of data and reality. In this paper, we therefore adopt an intermediate approach, taking five Anglo-Saxon countries that have relatively similar backgrounds and tax systems: Australia, Canada, New Zealand, the UK, and the US. The first part of the paper tackles the challenge of comparability of income-tax based estimates across countries and across time. The second part summarizes the evidence about top income shares. Across these five countries, the shares of the very richest exhibit a strikingly similar pattern, falling in the three decades after World War II, before rising sharply from the mid-1970s onwards. The share of the top 1 percent is highly correlated across Anglo-Saxon countries, more so than the share of the next 4 percent. The third part of the paper looks at the relationship between taxes and top income shares. Controlling for country and year fixed effects, we find that a reduction in the marginal tax rate on wage income is associated with an increase in the share of the top percentile group. Likewise, a fall in the marginal tax rate on investment income (based on a lagged moving average) is associated with a rise in the share of the top percentile group.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".