TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS

@article{Pearl2014TRYGVEHA,
  title={TRYGVE HAAVELMO AND THE EMERGENCE OF CAUSAL CALCULUS},
  author={Judea Pearl},
  journal={Econometric Theory},
  year={2014},
  volume={31},
  pages={152 - 179}
}
  • J. Pearl
  • Published 9 October 2013
  • Economics
  • Econometric Theory
Haavelmo was the first to recognize the capacity of economic models to guide policies. This paper describes some of the barriers that Haavelmo’s ideas have had (and still have) to overcome and lays out a logical framework that has evolved from Haavelmo’s insight and matured into a coherent and comprehensive account of the relationships between theory, data, and policy questions. The mathematical tools that emerge from this framework now enable investigators to answer complex policy and… 
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References

SHOWING 1-10 OF 132 REFERENCES
Revisiting Haavelmo's structural econometrics: bridging the gap between theory and data
The objective of the paper is threefold. First, to argue that some of Haavelmo's (1944) methodological ideas and insights have been neglected because they are largely at odds with the traditional
CAUSAL ANALYSIS AFTER HAAVELMO
TLDR
This work embeds Haavelmo’s framework into the recursive framework of Directed Acyclic Graphs (DAGs) commonly used in the literature of causality and discusses the limitations of methods that solely use the information expressed in DAGs for the identification of economic models.
Reflections on Heckman and Pinto's Causal Analysis After Haavelmo
Working paper. TECHNICAL REPORT R-420 November 2013 Reflections on Heckman and Pinto’s “Causal Analysis After Haavelmo” Judea Pearl University of California, Los Angeles Computer Science Department
THE FOUNDATIONS OF CAUSAL INFERENCE
This paper reviews recent advances in the foundations of causal inference and introduces a systematic methodology for defining, estimating, and testing causal claims in experimental and observational
An economist's perspective on Shadish (2010) and West and Thoemmes (2010).
TLDR
Some of the issues raised by Shadish and by West and Thoemmes are discussed, including the impact the 2 approaches to causality have had on research in a 3rd field, economics.
Taking the Dogma out of Econometrics: Structural Modeling and Credible Inference
Without a doubt, there has been a "credibility revolution" in applied econometrics. One contributing development has been in the improvement and increased use in data analysis of "structural
The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con Out of Econometrics
This essay reviews progress in empirical economics since Leamer’s (1983) critique. Leamer highlighted the benefits of sensitivity analysis, a procedure in which researchers show how their results
Nancy Cartwright on Hunting Causes
  • J. Pearl
  • Economics
    Economics and Philosophy
  • 2010
Nancy Cartwright’s recent book Hunting Causes and Using Them comes to causality in an interesting stage of its stormy, century-old courtship with economics. A survey article by Hoover (2004, ‘Lost
Tantalus on the Road to Asymptopia
My first reaction to "The Credibility Revolution in Empirical Economics," authored by Joshua D. Angrist and Jorn-Steffen Pischke, was: Wow! This paper makes a stunningly good case for relying on
Counterfactuals and Causal Structure
The structural account of causation derives inter alia from Herbert Simon’s work on causal order and was developed in Hoover’s Causality in Macroeconomics and earlier articles. A substantial
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