TREATMENT EFFECT HETEROGENEITY I N T HEORY AND PRACTICE

By Joshua D. Angrist. 2004

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Subfields: Demography, Gender Studies, Sociology and Political Science

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Citations in the corpus

The Econometrics of Randomized Experiments (2016, background): “Bloom (1984), Zelen (1979, 1990), Cuzick, Edwards, and Segnan (1997), and Baker (2000) discuss the instrumental variables approach in the special case of one-sided non-compliance, and Imbens and Angrist (1994), Angrist, Imbens and Rubin (1996) develop the general set up.”
The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “Early applications in economics include Black [1999] Angrist and Lavy [1999], Van Der Klaauw [2002], Lee [2008]. Recent reviews include Imbens and Lemieux [2008], Lee and Lemieux [2010], Van Der Klaauw [2008], Skovron and Titiunik [2015]. More recently there have been many applications (e.g., Edenst”
Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter (2006, methodology): “I follow the theoretical framework used by Angrist and Krueger (1999) and by Angrist (2004) to link the LATE identified using compulsory schooling as an instrument with the population ATE.”
Extrapolate-Ing: External Validity and Overidentification in the Late Framework (2010, neutral): “For example, Heckman, Tobias, and Vytlacil (2001, 2003) and Angrist (2004) used parametric latent-index models to identify and compare alternative causal effects.”
Preschool Television Viewing and Adolescent Test Scores: Historical Evidence from the Coleman Study (2008, background): “We note that the latter estimates are necessarily local to the students whose exposure to television was a¤ected by the introduction of television [Angrist 2004], so that students in households whose decision to adopt television was more responsive to broadcast availability would implicitly receive…”
Fertility and Female Labor Supply in Latin America: New Causal Evidence (2007, neutral): “This is of interest in of itself but also because, ultimately, the external validity of all causal estimates is established by replication in other datasets (Angrist, 2004).”
Workplace Training in Europe (2005, neutral): “It is the former which has policy relevance, not the latter (see Angrist, 2004).”
The Effect of Grandparental Support on Mothers’ Labour Market Participation: An Instrumental Variable Approach (2014, neutral): “Consequently, all treated are compliers and the LATE coincides with the average causal effect on the treated (ATT) (Angrist, 2004): An alternative approach to regression model (1) would be to use Z, instead of T, as main independent variable of interest .”
Random Coefficients on Endogenous Variables in Simultaneous Equations Models (2014, methodology): “Angrist, Graddy, and Imbens (2000) examine the two equation supply and demand example without imposing linearity or additive separability of a scalar unobserved heterogeneity term.”
NBER WORKING PAPER SERIES DOING MORE WHEN YOU'RE RUNNING LATE: APPLYING MARGINAL TREATMENT EFFECT METHODS TO EXAMINE TREATMENT EFFECT HETEROGENEITY IN EXPERIMENTS (2016, methodology): “The LATE gives the average treatment effect for compliers who select into treatment strictly according to random assignment (Imbens and Angrist [1994]).”
Identifying Class Size Effects in Developing Countries: Evidence from Rural Bolivia (2006, background): “Angrist and Lavy (1999) highlight a particular way in which such bias can arise. Namely, class size is often positively related to enrollment, which may in turn be correlated with socioeconomic status (SES) and achievement. These channels seem to be empirically relevant: Lavy (1995) finds them in Is”
From Local to Global: External Validity in a Fertility Natural Experiment (2015, positive): “Angrist (2004), Angrist and Fernandez-Val (2010), and Aronow and Carnegie (2013) considered extrapolation from local average treatment effects identiﬁed by instrumental variables to a target population.”
How Important is Selection? Experimental vs. Non-Experimental Measures of the Income Gains from Migration (2006, neutral): “Angrist, J.D. (2004) “Treatment Effect Heterogeneity In Theory and Practice”, Economic Journal 502: C52-C83. Ashenfelter, O. (1978) “Estimating the Effects of Training Programs On Earnings”, Review of Economics and Statistics 60: 47-57. Becker, S. and A. Ichino (2002) “Estimation of Average Treatmen”
Heterogeneous treatment effects and mechanisms in information-based environmental policies: Evidence from a large-scale field experiment (2013, background): “…grow in scope.1 Second, understanding heterogeneous responses helps strengthen the generalizability and external validity of randomized controlled trials to different target populations (Angrist, 2004; Manski, 2004; Hotz et al., 2005; Allcott and Mullainathan, 2010a,b; Imai and Ratkovic, 2013).”
Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees (2010, background): “…et al. 2002; Royston and Sauerbrei 2004; Rothwell 2005) and econometrics (e.g., Heckman, Smith, and Clements 1997; Abadie 2003; Poirier and Tobias 2003; Angrist 2004; Dehejia 2005; Bitler, Gelbach, and Hoynes 2006, 2009; Abbring and Heckman 2007; Crump et al. 2008; Djeb- 1 bari and Smith 2008).”
Controlling for endogeneity with instrumental variables in strategic management research (2008, background): “From these developments and the insights of several econometricians (Angrist, 2004; Angrist et al., 1996; Basu et al., 2007; Heckman, 1997; Heckman et al., 2006; Heckman and Vytlacil, 2005; Murray, 2006b), I draw two conclusions and then offer five strategies.”