VARIETIES OF SELECTION BIAS

By H. James. 1990

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Citations in the corpus

Characterizing Fairness Over the Set of Good Models Under Selective Labels (2021, background): “The joint distribution ( X i , A i , D i , Y ∗ i ) ∼ P satisﬁes 1) selection on observables : and 2) positivity : This assumption is common in causal inference and selection bias settings (e.g., Chapter 12 of [46] and [47]) 6 and in covariate shift learning [48].”
The Gender Gap between Earnings Distributions (2019, background): “Also noted in Machado (2012), the number of children is used as an explanatory variable in the shadow price function in Heckman (1974), “one of the seminal works on female selection”, and an IV in the participation equation in Heckman (1980). The number of young children may affect women’s reservati”
Evaluating Public Programs with Close Substitutes: The Case of Head Start (2016, background): “Imprecision in average treatment effects is not surprising given that non-parametric identification of such quantities would require a large support assumption on the instrument (Heckman, 1990), which does not hold in our setting.”
A simple nonparametric approach to estimating the distribution of random coefficients in structural models (2016, unknown): “inf F∈FR(N):dLP(F,F0)≥ε Q(F )−Q(F0) ≥ δ(N,R(N), ε) > 0 (20)”
Controlling for endogeneity with instrumental variables in strategic management research (2008, background): “In addition to the references that Hamilton and Nickerson (2003) provide, scholars interested in learning more about these semi-parametric methods can also refer to Heckman (1990), Heckman and Robb (1985), Lee (1994a, 1994b), Manski (1989) and Newey et al. (1990).”
Regression and Weighting Methods for Causal Inference Using Instrumental Variables (2006, background): “However, the intercepts (α0, α1) are absorbed into (λ0, λ1), and ATE(x) cannot be identified in general (Heckman 1990).”
A Review of Domain Adaptation without Target Labels (2019, background): “econometrics for quite some time [2], [34].”
Sudden stops and the Mexican wave: Currency crises, capital flow reversals and output loss in emerging markets (2004, unknown): “This is a variant of the problem addressed by Heckman et al. (1997) in approaching the evaluation problem: bThe evaluation problem is a missing data problem.”