An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schooling

By Joseph G. Altonji, Todd E. Elder, Christopher R. Taber. The Journal of human resources, 2005

432 citations recorded by the source corpus.

Subfields: Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/1b790c45aabf86cadf61076701216a403fd19cfa

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In Political Science and International Relations

Citations in the corpus

Gasoline Prices, Fuel Economy, and the Energy Paradox (2014, neutral): “…for observables affects a parameter estimate does not directly tell us whether controlling for unobservables would affect the estimate, it is plausible that changes in observable and unobservable characteristics are correlated, by logic similar to that of Altonji, Elder, and Taber (2005).”
Measuring the Sensitivity of Parameter Estimates to Estimation Moments (2017, background): “2Altonji et al. (2005) write: “Both [exclusion restrictions and functional form restrictions] contribute to identification.”
The economics of the democratic deficit: The effect of IMF programs on inequality (2016, neutral): “Additional tests à la Altonji et al. (2005) show that selection on unobservables relative to selection on observables would have to be more than three times as large and go in the opposite direction if the true effect of the IV on the outcome was in fact zero (Table R3).”
Effects of Unit-Based Garbage Pricing: A Differences-in-Differences Approach (2010, neutral): “For this group, the coefﬁcient of WP it − 1 in the garbage regression may be interpreted as the direct effect of neighbors’ price, whereas the coefﬁcient for the group of other municipalities reﬂects both the direct and the indirect effect (through P it ) (Altonji et al. 2005).”
Unobservable Selection and Coefficient Stability: Theory and Evidence (2019, methodology): “In two articles following on their original article (Altonji, Elder, and Taber 2005b; Altonji et al. 2008) Altonji and coauthors suggested two methods for adjusting for idiosyncratic variance, an approach parallel to my use of Rmax.”
Making sense of sensitivity: extending omitted variable bias (2019, background): “Following Altonji et al. (2005), Oster (2019) defined ‘indices’ W1 := Xβ̂ and W2 := Zγ̂, where X is a matrix of observed covariates and Z a matrix of unobserved covariates.”
Dynamic Commitment and the Soft Budget Constraint: An Empirical Test (2010, background): “Jointly tested, the F-test on these controls is 6,586, suggesting that they have an enormous explanatory power, i.e., one of the key requirements of Altonji et al. (2005b).”
What Would It Take to Change an Inference? Using Rubin’s Causal Model to Interpret the Robustness of Causal Inferences (2013, background): “Altonji, Elder, and Taber (2005) and Altonji, Conley, Elder, and Taber (2010) bounded estimated effects by drawing on information associated with observed confounds (cf. Manski, 1990, who bounds based on the maximum value of the outcome).”
Broadband Internet: An Information Superhighway to Sex Crime? (2013, neutral): “Third, we follow the method proposed by Altonji et al. (2005a) and examine the extent to which the instrument is correlated with the part of the outcome explained by the observables.”
Does Institutional Quality Foster Economic Complexity? (2019, positive): “The underlying idea builds upon an earlier contribution by Altonji et al. (2005) who posit that selection bias attributed to unobservables can be inferred from the reduction in selection bias when the standard regression models are augmented with observed controls. As articulated by Oster (2019), th”