Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records
By Joshua D. Angrist. 1990
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Guido W. Imbens
- Susan Athey
- Victor Chernozhukov
- Stefan Wager
- Alberto Abadie
- M. D. Cattaneo
- Kosuke Imai
- Nathan Kallus
Citations in the corpus
- Generalized random forests (2016, methodology): “…variables regression include measuring the impact of military service on lifetime income by using the Vietnam draft lottery as an instrument (Angrist, 1990), and measuring the extent to which 401(k) savings programs crowd out other savings, using eligibility for 401(k) savings programs as…”
- Violent conflict and human capital accumulation (2011, result): “In contrast, Akresh and de Walque (2008) find that, in Rwanda, it is amongst the male children in non-poor households that these negative shocks are strongest, potentially due to a levelling off of educational achievements to a low level for everyone.”
- A Likelihood-Based Analysis for Relaxing the Exclusion Restriction in Randomized Experiments with Imperfect Compliance (2013, methodology): “Historically, this assumption first appeared in the literature concerning the Instrumental Variables method (IV henceforth), which has a long tradition in econometrics, and has been applied in the context of causal evaluation, for example, by Heckmann and Robb (1985), Angrist (1990), Angrist and Kru”
- Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators? (2005, background): “See also related discussions in Ashenfelter (1978), Ashenfelter and Card (1985), Card and Sullivan (1988) and Angrist (1990,1998) on this point.”
- 'Lending by Example': Direct and Indirect Effects of Foreign Banks in Emerging Markets (2012, unknown): “See, for instance, Angrist (1990) and Joensen and Nielsen (2009).”
- Ethnic Enclaves and the Economic Success of Immigrants—Evidence from a Natural Experiment (2003, unknown): “Given the above assumptions, two questions arise: What does (linear) instrumental variables estimate? Under what conditions does IV estimate the average return to living in an enclave consistently? These questions have given rise to a scholarly debate; the essence of the debate can be found in Angri”
- Better Late than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009) (2010, methodology): “Let me use Angrist’s (1989) famous draft lottery study as an example. In that case one may be interested in the average causal effect of serving in the military on earnings. Now suppose one is concerned that simple comparisons between veterans and non-veterans are not credible as estimates of averag”
- Econometric Analysis of Cross Section and Panel Data, 2nd Edition (2001, methodology): “How can quarter of birth be (partially) correlated with educational attainment? Angrist and Krueger (1991) argue that compulsory school attendence laws induce a relationship between educ and frstqrt: at least some people are forced, by law, to attend school longer than they otherwise would, and this”
- One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV (2021, methodology): “The heavily over-identified two-stage least squares (2SLS) estimates reported in Angrist (1990) and Angrist and Krueger 1991, AK91) sparked a flood of interest in the finite-sample behavior of IV estimators. Kicked off by Bekker (1994) and ound et al.”
- On Instrumental Variables Estimation of Causal Odds Ratios (2011, background): “This is a prognostic factor of the exposure, which is not associated with the outcome, except via a possible exposure effect on outcome (Angrist, 1990; McClellan and Newhouse, 1994; Angrist, Imbens and Rubin, 1996; Hernán and Robins, 2006).”
- Causal inference (2011, background): “Angrist’s [1] paper evaluating the effects of military service on lifetime income provides another setting in which the analysis proposed here can be implemented.”
- DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION (2012, background): “A sufficient condition for (2) to hold is that Z be uncorrelated with any of the unmeasured confounding variables conditional on X and that Z have no direct effect on the outcome (Angrist, Imbens, and Rubin (1996)).”
- The impact of public guarantees on credit to SMEs (2009, methodology): “the one by Angrist (1990) and Angrist-Imbens-Rubin (1996).”