The tariff on animal and vegetable oils

By P. G. Wright

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Citations in the corpus

Causal inference by using invariant prediction: identification and confidence intervals (2015, methodology): “Instrumental variables can sometimes be used when the causal relationship of interest is confounded and no randomized experiments are available (Wright, 1928; Bowden and Turkington, 1990; Angrist et al., 1996; Didelez et al., 2010).”
Counterfactual Prediction with Deep Instrumental Variables Networks (2016, background): “It has a long history, especially in economics [e.g., Wright, 1928, Reiersøl., 1945].”
Sargan's Intrumental Variables Estimation and the Generalized Method of Moments (2002, methodology): “Before these authors, the IV method can also be associated with the work of Working (1927), P. G. Wright (1928), and S. Wright (1934).”
Learning Implicit Generative Models with the Method of Learned Moments (2018, methodology): “Instrumental variable estimation, an example of MoM, is used to learn parameters in supply and demand models (Wright, 1928).”
Marginal and Nested Structural Models Using Instrumental Variables (2010, methodology): “The conventional IV method (e.g., Wooldridge 2002) has been widely used in econometrics since Wright (1928).”
The Causal Foundations of Structural Equation Modeling (2012, methodology): “3 Recognizing Instrumental Variables Instrumental variables is one of the oldest identification technique devised for linear systems (Wright, 1928).”
Asset Prices and Exchange Rates (2007, unknown): “(1)Zapatero (1995) employs a similar two-country, two-good economy and discusses the new insights the model provides for empirical studies.”
Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2018, background): “It is a special case of the instrumental variable (IV) methods [21], which date back to the 1920s [54] and have a long and rich history in econometrics and statistics.”
An Extended Class of Instrumental Variables for the Estimation of Causal Effects (2011, methodology): “Wright states: Such additional factors may be factors which (A) a¤ect demand conditions without a¤ecting cost conditions or (B) a¤ect cost conditions without a¤ecting demand conditions (Wright, 1928, p.312; our italics).”
Incremental causal effects (2019, methodology): “Many methods have been developed to deal with the problem of confounding in observational studies, most notably the instrumental variables approach and the regression discontinuity design (Wright, 1928; Thistlethwaite and Campbell, 1960; Lee and Lemieux, 2010; Imbens and Rubin, 2015).”
EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS (2013, unknown): “Perhaps the best proof that early SEM researchers did not buy into the regressional interpretation of the equations is the development of instrumental variable (IV) methods in the 1920s (Wright 1928), which aimed to identify structural parameters in models with correlated disturbances.”