Land wave B1' — the ols trio, fp.dta and NEWQDATA.csv (Track B)

AGENTS.md

@@ -33,7 +33,7 @@ A constructed dataset without its committed builder is a bug. Manifest fields: `
 
 The Feb 2025 migration left files that cannot fully satisfy the rules above. The manifest records each gap **explicitly** — visible in the generated catalog — rather than burying it by misclassification. Both are provisional decisions from the P1 pilot ([meta#338](https://github.com/QuantEcon/meta/issues/338)), to be folded into [manual#108](https://github.com/QuantEcon/QuantEcon.manual/pull/108).
 
-- **`retrieved: null` — inherited-undated bytes.** `retrieved` is required, but may be `null` when the bytes were inherited (e.g. from a lecture repo) with **no recorded upstream-retrieval date**. Do **not** reconstruct one from git history — that records when QuantEcon acquired the file, not when it was retrieved from the source, and the false precision is worse than an honest null. A null `retrieved` must be paired with an `integrity.upstream` entry that says why (`status: unverifiable` with a `note`).
+- **`retrieved: null` — inherited-undated bytes.** `retrieved` is required, but may be `null` when the bytes were inherited (e.g. from a lecture repo) with **no recorded upstream-retrieval date**. Do **not** reconstruct one from git history — that records when QuantEcon acquired the file, not when it was retrieved from the source, and the false precision is worse than an honest null. A null `retrieved` must be paired with an `integrity.upstream` entry that **accounts for the gap** — never left bare. Any resolved status does that: `unverifiable` says the vintage cannot be established at all, and `diverged` or `verified` say something stronger, because a re-fetch that hashes identically pins the vintage by content rather than by date, which is what a `retrieved` date was a proxy for. What is not acceptable is `null` beside `unverified` — that is two unanswered questions, not one answered a different way. (Amended 2026-08-13, wave B1': the rule previously named `unverifiable` alone, which was the only case that had arisen. `life-expectancy-vs-gdp-per-capita.csv` and `mpd2020.xlsx` already paired `null` with `diverged`; B1' added five files where an upstream re-fetch succeeded byte-identically.)
 - **`builder_status: committed-frozen` — the builder is here, and deliberately will not run.** For a dataset built from a source that must not be refreshed: a frozen vintage, or a scraper we will not re-run. The artifact is kept as the record of what produced these bytes, so it is committed verbatim and not edited — editing it is what would destroy its value as provenance. Distinct from `committed`, which asserts a runnable four-stage builder, and from `unrecovered`, which says the builder is absent.
 - **`builder_status: unrecovered` — constructed without a recoverable builder.** A constructed dataset ships its builder, and one that omits it *silently* is the bug. Several inherited files are constructed with no recoverable extraction steps (PLAN Phase 9 tracks them). Keep `class: constructed` — reclassifying to `verbatim` to dodge the rule is misclassification — set `builder: null` and `builder_status: unrecovered`, and the gap stays visible for Phase 9 to recover. `unrecovered` is for **inherited files only**; never introduce a *new* constructed file without its builder.
 

CATALOG.md

@@ -6,10 +6,11 @@
 
 The dataset registry, **auto-generated** from the sidecar manifests (`lectures/*.yml`). Do not edit by hand — run `python scripts/build_catalog.py`. A dataset appears here once it has a manifest, which may be before its consuming lectures are repointed — an empty **Used by** column means the file is here and documented but no lecture reads it from this repo yet. Files still to migrate are tracked in [PLAN.md](PLAN.md).
 
-**26 datasets** · 26 read by lectures today · 111.9 MB total · 21 permitted / 5 restricted redistribution
+**31 datasets** · 26 read by lectures today, 5 awaiting repoint · 113.0 MB total · 26 permitted / 5 restricted redistribution
 
 | Dataset | Class | Source | Licence | Redist. | Integrity | Builder | Size | Used by |
 | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| [**NEWQDATA.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/NEWQDATA.csv)<br><sub>Cogley-Sargent (2005) "Drifts and Volatilities" — quarterly US inflation, unemployment and T-bill rate</sub> | constructed | [Cogley and Sargent (2005), "Drifts and Volatilities" — the authors' NEWQDATA.MAT](https://doi.org/10.1016/j.red.2004.10.009) |  | ✅ permitted | ✅ verified | ✅ committed | 13.4 KB | — |
 | [**SCF_plus_mini.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/SCF_plus_mini.csv)<br><sub>SCF+ mini — net wealth, income and survey weights, 1950-2016</sub> | constructed | [SCF+ (Kuhn, Schularick and Steins) — an extension of the Survey of Consumer Finances](https://www.journals.uchicago.edu/doi/10.1086/708815) |  | ✅ permitted | ⚠️ unverifiable | committed-frozen | 31.3 MB | [lecture-python-intro · inequality.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/inequality.md)<br>[lecture-wasm · inequality.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/inequality.md)<br>[lecture-intro.zh-cn · inequality.md](https://github.com/QuantEcon/lecture-intro.zh-cn/blob/main/lectures/inequality.md)<br>[test-actions-lecture-intro · inequality.md](https://github.com/QuantEcon/test-actions-lecture-intro/blob/main/lectures/inequality.md) |
 | [**SCF_plus_mini_no_weights.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/SCF_plus_mini_no_weights.csv)<br><sub>SCF+ mini, weight-expanded — net wealth and income, 1950-2016</sub> | constructed | [SCF+ (Kuhn, Schularick and Steins) — an extension of the Survey of Consumer Finances](https://www.journals.uchicago.edu/doi/10.1086/708815) |  | ✅ permitted | ⚠️ unverifiable | committed-frozen | 72.4 MB | [lecture-python-intro · mle.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/mle.md)<br>[lecture-wasm · mle.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/mle.md)<br>[lecture-intro.zh-cn · mle.md](https://github.com/QuantEcon/lecture-intro.zh-cn/blob/main/lectures/mle.md)<br>[test-actions-lecture-intro · mle.md](https://github.com/QuantEcon/test-actions-lecture-intro/blob/main/lectures/mle.md) |
 | [**ames_house_prices.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/ames_house_prices.csv)<br><sub>Ames, Iowa — residential house sales, 2006-2010</sub> | constructed | [Ames Housing data (De Cock 2011), Journal of Statistics Education](http://jse.amstat.org/v19n3/decock.pdf) |  | ✅ permitted | ✅ verified | ✅ committed | 75.2 KB | [lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md)<br>[lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) |
@@ -25,12 +26,16 @@ The dataset registry, **auto-generated** from the sidecar manifests (`lectures/*
 | [**fig_3.xlsx**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/fig_3.xlsx)<br><sub>French Revolution — figure 3 series (Sargent-Velde)</sub> | verbatim | [Sargent and Velde, "Macroeconomic Features of the French Revolution" — supporting spreadsheets](https://www.journals.uchicago.edu/doi/10.1086/261992) |  | ✅ permitted | ⚠️ unverifiable | n/a (verbatim) | 9.2 KB | [lecture-python-intro · french_rev.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/french_rev.md)<br>[lecture-wasm · french_rev.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/french_rev.md) |
 | [**forbes-billionaires.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/forbes-billionaires.csv)<br><sub>Forbes Billionaires — individual net worth</sub> | constructed | [Forbes Billionaires](https://www.forbes.com/billionaires/) |  | ⚠️ restricted | ⚠️ unverifiable | committed-frozen | 775.7 KB | [lecture-python-intro · heavy_tails.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/heavy_tails.md)<br>[lecture-wasm · heavy_tails.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/heavy_tails.md)<br>[lecture-intro.zh-cn · heavy_tails.md](https://github.com/QuantEcon/lecture-intro.zh-cn/blob/main/lectures/heavy_tails.md)<br>[test-actions-lecture-intro · heavy_tails.md](https://github.com/QuantEcon/test-actions-lecture-intro/blob/main/lectures/heavy_tails.md) |
 | [**forbes-global2000.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/forbes-global2000.csv)<br><sub>Forbes Global 2000 — firm size measures</sub> | constructed | [Forbes Global 2000](https://www.forbes.com/lists/global2000/) |  | ⚠️ restricted | ⚠️ unverifiable | committed-frozen | 115.6 KB | [lecture-python-intro · heavy_tails.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/heavy_tails.md)<br>[lecture-wasm · heavy_tails.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/heavy_tails.md)<br>[lecture-intro.zh-cn · heavy_tails.md](https://github.com/QuantEcon/lecture-intro.zh-cn/blob/main/lectures/heavy_tails.md)<br>[test-actions-lecture-intro · heavy_tails.md](https://github.com/QuantEcon/test-actions-lecture-intro/blob/main/lectures/heavy_tails.md) |
+| [**fp.dta**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/fp.dta)<br><sub>Treisman (2016) Russia's Billionaires — country-year panel of billionaire counts and covariates</sub> | verbatim | [Replication package for Treisman (2016), "Russia's Billionaires" (AER Papers & Proceedings)](https://www.aeaweb.org/articles?id=10.1257/aer.p20161068) |  | ✅ permitted | ✅ verified | n/a (verbatim) | 1000.1 KB | — |
 | [**japan_deaths_by_age.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/japan_deaths_by_age.csv)<br><sub>Japan — deaths by single year of age, 2023</sub> | constructed | [United Nations, Department of Economic and Social Affairs, Population Division — World Population Prospects 2024](https://population.un.org/wpp/downloads) | CC BY 3.0 IGO | ✅ permitted | ✅ verified | ✅ committed | 1.7 KB | [lecture-python-intro · observed_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/observed_distributions.md)<br>[lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) |
 | [**japan_earthquakes.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/japan_earthquakes.csv)<br><sub>Japan region — earthquakes of magnitude 5 and above, 2000-2024</sub> | constructed | [Advanced National Seismic System (ANSS) Comprehensive Earthquake Catalog (ComCat), US Geological Survey](https://earthquake.usgs.gov/earthquakes/search/) | US Government work — public domain | ✅ permitted | ✅ verified | ✅ committed | 172.8 KB | [lecture-python-intro · fitting_distributions.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/fitting_distributions.md) |
 | [**japan_population_by_age.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/japan_population_by_age.csv)<br><sub>Japan — population by single year of age, 2024</sub> | constructed | [Population Estimates, Statistics Bureau of Japan, Ministry of Internal Affairs and Communications](https://www.stat.go.jp/english/data/jinsui/index.html) | Japan Statistics Bureau terms of use | ✅ permitted | ✅ verified | ✅ committed | 1.3 KB | [lecture-python-intro · prob_dist.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/prob_dist.md) |
 | [**life-expectancy-vs-gdp-per-capita.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/life-expectancy-vs-gdp-per-capita.csv)<br><sub>Life expectancy vs GDP per capita — Our World in Data grapher export</sub> | verbatim | [Our World in Data — "Life expectancy vs. GDP per capita" grapher](https://ourworldindata.org/grapher/life-expectancy-vs-gdp-per-capita) |  | ✅ permitted | ⇄ diverged | n/a (verbatim) | 2.0 MB | [lecture-python-intro · simple_linear_regression.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/simple_linear_regression.md)<br>[lecture-wasm · simple_linear_regression.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/simple_linear_regression.md)<br>[lecture-intro.zh-cn · simple_linear_regression.md](https://github.com/QuantEcon/lecture-intro.zh-cn/blob/main/lectures/simple_linear_regression.md)<br>[test-actions-lecture-intro · simple_linear_regression.md](https://github.com/QuantEcon/test-actions-lecture-intro/blob/main/lectures/simple_linear_regression.md) |
 | [**lingcod_msy_recovery.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/lingcod_msy_recovery.csv)<br><sub>Pacific Coast lingcod — biomass and fishing pressure relative to MSY</sub> | constructed | [RAM Legacy Stock Assessment Database](https://www.ramlegacy.org/) | CC BY 4.0 | ✅ permitted | ⚠️ unverifiable | ⚠️ unrecovered | 2.3 KB | [lecture-python-intro · msy_fishery.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/msy_fishery.md) |
 | [**longprices.xls**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/longprices.xls)<br><sub>Price levels in four hard-currency countries, 1600-2000</sub> | verbatim | [Sargent and Velde, "The Big Problem of Small Change" — supporting data](https://press.princeton.edu/books/hardcover/9780691116358/the-big-problem-of-small-change) |  | ✅ permitted | ⚠️ unverifiable | n/a (verbatim) | 379.5 KB | [lecture-python-intro · inflation_history.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/inflation_history.md)<br>[lecture-wasm · inflation_history.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/inflation_history.md) |
+| [**maketable1.dta**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/maketable1.dta)<br><sub>Acemoglu-Johnson-Robinson (2001) colonial origins — table 1 replication data</sub> | verbatim | [Daron Acemoglu data archive — "The Colonial Origins of Comparative Development", table 1 (program and data files)](https://economics.mit.edu/people/faculty/daron-acemoglu/data-archive) |  | ✅ permitted | ✅ verified | n/a (verbatim) | 14.1 KB | — |
+| [**maketable2.dta**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/maketable2.dta)<br><sub>Acemoglu-Johnson-Robinson (2001) colonial origins — table 2 replication data</sub> | verbatim | [Daron Acemoglu data archive — "The Colonial Origins of Comparative Development", table 2 (program and data files)](https://economics.mit.edu/people/faculty/daron-acemoglu/data-archive) |  | ✅ permitted | ✅ verified | n/a (verbatim) | 10.9 KB | — |
+| [**maketable4.dta**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/maketable4.dta)<br><sub>Acemoglu-Johnson-Robinson (2001) colonial origins — table 4 replication data</sub> | verbatim | [Daron Acemoglu data archive — "The Colonial Origins of Comparative Development", table 4 (program and data files)](https://economics.mit.edu/people/faculty/daron-acemoglu/data-archive) |  | ✅ permitted | ✅ verified | n/a (verbatim) | 11.7 KB | — |
 | [**mpd2020.xlsx**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/mpd2020.xlsx)<br><sub>Maddison Project Database 2020 — GDP per capita and population, 1 CE to 2018</sub> | constructed | [Maddison Project Database, version 2020](https://www.rug.nl/ggdc/historicaldevelopment/maddison/releases/maddison-project-database-2020) | CC BY 4.0 | ✅ permitted | ⇄ diverged | ⚠️ unrecovered | 1.7 MB | [lecture-python-intro · long_run_growth.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/long_run_growth.md)<br>[lecture-wasm · long_run_growth.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/long_run_growth.md) |
 | [**nom_balances.npy**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/nom_balances.npy)<br><sub>French Revolution — monthly nominal assignat balances, 1789-1796</sub> | constructed | unrecorded |  | ✅ permitted | ⚠️ unverifiable | ⚠️ unrecovered | 1.4 KB | [lecture-python-intro · french_rev.md](https://github.com/QuantEcon/lecture-python-intro/blob/main/lectures/french_rev.md)<br>[lecture-wasm · french_rev.md](https://github.com/QuantEcon/lecture-wasm/blob/main/lectures/french_rev.md) |
 | [**realwage.csv**](https://github.com/QuantEcon/data-lectures/raw/main/lectures/realwage.csv)<br><sub>OECD real minimum wages — 32 countries, 2006–2016</sub> | constructed | [OECD — Real minimum wages (RMW)](https://stats.oecd.org/Index.aspx?DataSetCode=RMW) | CC BY 4.0 | ✅ permitted | ⚠️ unverifiable | ⚠️ unrecovered | 118.7 KB | [lecture-python-programming · pandas_panel.md](https://github.com/QuantEcon/lecture-python-programming/blob/main/lectures/pandas_panel.md)<br>[lecture-python.myst · pandas_panel.md](https://github.com/QuantEcon/lecture-python.myst/blob/main/lectures/pandas_panel.md) |