Do 401(k) contributions crowd out other personal saving
By J. Poterba, Steven F. Venti, David A. Wise. 1995
How researchers see this paper
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- Victor Chernozhukov
- Alexandre Belloni
- Iv'an Fern'andez-Val
- Zhiqiang Tan
- Ryo Okui
- S. Lee
- Christian Hansen
- Susan Athey
Citations in the corpus
- Double/De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers (2018, methodology): “We follow the identification strategy of Poterba and Venti (1994) and Poterba et al. (1995), who assume selection on observables.”
- Double/Debiased Machine Learning for Treatment and Causal Parameters (2016, methodology): “ol variables are used. Of course, this number is not a valid estimate of the causal eect of 401(k) eligibility on nancial assets if there are neglected confounding variables as suggested by [47] and [48]. When we turn to the estimates that exibly account for confounding reported in Table 1, we see t”
- DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION (2012, methodology): “We note that Robins (1994) gives the efficiency bound for more general models based on the results of Chamberlain (1987, 1992).”
- Double machine learning for treatment and causal parameters (2016, methodology): “Finally, it is interesting that these results are also broadly consistent with those reported in the original work of [45] and [46] which used a simple intuitively motivated functional form, suggesting that this intuitive choice was sufficiently flexible to capture much of the confounding variation ”
- IDENTIFICATION AND INFERENCE IN NONLINEAR DIFFERENCE-IN-DIFFERENCES MODELS BY (2003, unknown): “Poterba, Venti, and Wise (1995) and Meyer, Viscusi, and Durbin (1995) start from equation (2.1) and assume that the median of Y N conditional on T and G is equal to α + βT + ηG.”
- Semiparametric instrumental variable estimation of treatment response models (2003, methodology): “Other sample restrictions are the same as in Poterba et al. (1995). the sample is 39% and the proportion of 401(k) participants is 28%.”
- Threshold Regression with Endogeneity (2017, unknown): “This sample is often referred to as the 1991 SIPP, and is used extensively in the literature to examine the effect of 401(k) plans on wealth; see, inter alia, Benjamin (2003), Engen and Gale (2000), Engen et al. (1996) and Poterba et al. (1994, 1995, 1998).”
- Doubly robust uniform confidence band for the conditional average treatment effect function (2016, background): “In their empirical example, Ogburn, Rotnitzky, and Robins (2015) revisit the analyses of Poterba, Venti, and Wise (1995) and Abadie (2003) to examine whether participation in 401(k) pension plans increases household savings.”