Retrospectives Who Invented Instrumental Variable Regression
By James H. Stock, Francesco Trebbi. 2003
185 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/5352e22c70849c666b13c38176caec0eea6d03d9
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In Artificial Intelligence
- Matt Taddy
- Halbert White
- Guido W. Imbens
- Bryan T. Kelly
- Matthew Gentzkow
- Karim Chalak
- B. Mitchell
- Brian D. Wright
Citations in the corpus
- Global Biofuels: Key to the Puzzle of Grain Market Behavior (2014, background): “Pioneers in econometrics estimated demand functions for agricultural products using random short-run disturbances in supply as a way of identifying a demand curve (Stock and Trebbi 2003).”
- An Extended Class of Instrumental Variables for the Estimation of Causal Effects (2011, methodology): “Wright (1928) rst used instruments, which he called curve shifters, to identify supply and demand elasticities (see Morgan, 1990; Angrist and Krueger, 2001; Stock and Trebbi, 2003).”
- Addressing the endogeneity dilemma in operations management research: Theoretical, empirical, and pragmatic considerations (2017, background): “The earliest documented attempts at addressing the problem date back to the examination of supply and demand of animal and vegetable oils in the 1920s (Stock and Trebbi, 2003: 177).”
- Instrumental Variables: An Econometrician's Perspective (2014, background): “Partly the recent statistics literature has been motivated by the earlier econometric literature on instrumental variables, starting with Wright (1928) (see the discussion on the origins of instrumental variables in Stock and Trebbi, 2003).”
- Guidelines for a graph-theoretic implementation of structural equation modeling (2012, background): “This problem has interested economists since Philip Wright ’ s first attempt to offer a solution in 1928 (see discussion of the history of this topic in Stock and Trebbi 2003).”
- Text as Data (2017, methodology): “…explanation of why data on price and quantity alone are in general inadequate for estimating either supply or demand; two separate and correct derivations of the instrumental variables estimators of the supply and demand elasticities; and an empirical application” (Stock and Trebbi 2003, p. 177).”