The Probability Approach in Econometrics
E141116
The Probability Approach in Econometrics is Trygve Haavelmo’s landmark work that founded modern econometrics by rigorously formulating economic relationships within a probabilistic, statistical framework.
All labels observed (2)
| Label | Occurrences |
|---|---|
| The Probability Approach in Econometrics canonical | 1 |
| The Probability Approach in Econometrics (1944) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1234830 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Probability Approach in Econometrics Context triple: [Trygve Haavelmo, notableWork, The Probability Approach in Econometrics]
-
A.
Econometrica
Econometrica is a leading peer-reviewed academic journal in economics, particularly renowned for publishing foundational work in economic theory and econometrics.
-
B.
Quantitative Economics
Quantitative Economics is a peer-reviewed open-access journal of the Econometric Society that publishes research in econometrics and quantitative economic theory.
-
C.
Econometric Society
The Econometric Society is an international scholarly organization dedicated to advancing economic theory in its relation to statistics and mathematics.
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D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
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E.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Probability Approach in Econometrics Target entity description: The Probability Approach in Econometrics is Trygve Haavelmo’s landmark work that founded modern econometrics by rigorously formulating economic relationships within a probabilistic, statistical framework.
-
A.
Econometrica
Econometrica is a leading peer-reviewed academic journal in economics, particularly renowned for publishing foundational work in economic theory and econometrics.
-
B.
Quantitative Economics
Quantitative Economics is a peer-reviewed open-access journal of the Econometric Society that publishes research in econometrics and quantitative economic theory.
-
C.
Econometric Society
The Econometric Society is an international scholarly organization dedicated to advancing economic theory in its relation to statistics and mathematics.
-
D.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
E.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
econometrics monograph
ⓘ
scholarly work ⓘ |
| approachType |
probabilistic
ⓘ
statistical ⓘ |
| author | Trygve Haavelmo ⓘ |
| centralTheme |
estimation in simultaneous equations models
ⓘ
identification in econometric models ⓘ probabilistic foundation of econometrics ⓘ statistical formulation of economic theories ⓘ statistical inference in economic models ⓘ stochastic specification of economic relationships ⓘ |
| contributedTo | Nobel Prize recognition of Trygve Haavelmo ⓘ |
| countryOfPublication |
United States of America
ⓘ
surface form:
United States
|
| emphasizes |
distinction between theoretical models and observed data
ⓘ
explicit stochastic specification of economic models ⓘ use of probability theory for inference ⓘ |
| field |
econometrics
ⓘ
economics ⓘ |
| hasPart |
analysis of estimation procedures
ⓘ
discussion of identification conditions ⓘ treatment of statistical testing in economic models ⓘ |
| historicalSignificance |
founded modern econometrics
ⓘ
shifted econometrics to a rigorous probabilistic framework ⓘ |
| influenced |
econometric methodology
ⓘ
econometric theory of identification ⓘ modern econometrics ⓘ structural econometric modeling ⓘ use of probability in economic modeling ⓘ |
| keyConcept |
identifiability of structural parameters
ⓘ
joint probability distribution of economic variables ⓘ maximum likelihood estimation in econometrics ⓘ probability approach to economic data ⓘ statistical testing of economic hypotheses ⓘ stochastic disturbance term ⓘ structural versus reduced-form equations ⓘ |
| language | English ⓘ |
| publicationYear | 1944 ⓘ |
| publishedAs |
Econometrica
ⓘ
surface form:
Econometrica supplement
|
| publishedIn | Econometrica ⓘ |
| publisher | Econometric Society ⓘ |
| recognizedAs |
foundational work in econometrics
ⓘ
landmark in economic methodology ⓘ |
| relatedTo |
econometric identification problem
ⓘ
simultaneous equations models ⓘ statistical inference ⓘ structural econometric models ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: The Probability Approach in Econometrics Description of subject: The Probability Approach in Econometrics is Trygve Haavelmo’s landmark work that founded modern econometrics by rigorously formulating economic relationships within a probabilistic, statistical framework.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
The Probability Approach in Econometrics (1944)