MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Monetary Policy and Economic Impact
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,739 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,739 works in the cohort · of 4,299,418page 12 of 75

Labels cover 9 of 3,739 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,739 of 3,739 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affno abstractunlabeled
Short and Variable Lags
Gergely Buda, Vasco M. Carvalho, Giancarlo Corsetti, João B. Duarte, Stephen Hansen, Álvaro Ortiz +2 more
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
IV methods for Tobit models
Andrew Chesher, Dongwoo Kim, Adam Rosen
2023· article· en· Journal of Econometrics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Currency invoicing of US imports
Shabtai Donnenfeld, Alfred A. Haug
2007· article· en· International Journal of Finance & Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Six Decades of Economic Research at the Bank of England
Juan Acosta, Béatrice Cherrier, François Claveau, Clément Fontan, Aurélien Goutsmedt, Francesco Sergi
2023· article· en· History of Political Economy· Economics, Econometrics and Finance
machine prediction:candidate · stsconsensus · none
21
citations
affvenueaboutunlabeled
Estimating Canada’s Effective Lower Bound
Jonathan Witmer, Jing Yang
2020· article· en· Bank of Canada review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
aboutno affunlabeled
Financial instability and ECB monetary policy
Claudiu Tiberiu Albulescu
2013· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
When Do State-Dependent Local Projections Work?
Śılvia Gonçalves, Ana María Herrera, Lutz Kilian
2022· article· en· Federal Reserve Bank of Dallas, Working Papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
When is nonfundamentalness in SVARs a real problem?
Paul Beaudry, Patrick Fève, Alain Guay, Franck Portier
2019· article· en· Review of Economic Dynamics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
What Determines European Real Exchange Rates?
Martin Berka, Michael B. Devereux
2010· article· en· Federal Reserve Bank of Dallas, Globalization and Monetary Policy Institute Working Papers· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
Exchange Rates and Fundamentals: A Generalization
James M. Nason, John H. Rogers
2008· article· en· International Finance Discussion Paper· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
19
citations
affaboutunlabeled
Central bank forecasting: A survey
Carola Binder, Rodrigo Sekkel
2023· article· en· Journal of Economic Surveys· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
19
citations
aboutno affunlabeled
Short‐run Real Exchange Rate Dynamics
Jerry Coakley, Ana-Marı́a Fuertes
2000· article· en· Manchester School· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
19
citations

How this was built: Screen · Findings · About