Instrumental variables estimation of the average treatment effect in the correlated random coefficient model

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Globalization and Poverty in Senegal: A Worst Case Scenario? (2011, methodology): “With propensity score matching techniques we find more conservative – and probably more consistent and more realistic (Wooldridge, 2005) – estimates of the income effect: between 0.61 and 0.73.”
Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects (2008, unknown): “This speciﬁcation can be seen as a nonparametric, higher order generalization of the random coeﬃcient model analyzed by Heckman and Vytlacil (1998) and Wooldridge (1997, 2003, 2007).”
Processing Trade, Tariff Reductions and Firm Productivity: Evidence from Chinese Firms (2015, unknown): “Finally, as suggested by Wooldridge (2008), a correction to the standard errors must be made to reflect the use of estimated regressors in (9), which I implement by bootstrapping.”