Imposing Moment Restrictions from Auxiliary Data by Weighting
By J. Hellerstein, Guido W. Imbens. 1996
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Citations in the corpus
- Empirical Likelihood Methods in Econometrics: Theory and Practice (2006, methodology): “Hoeffding (1963) takes this approach as well, but he evaluates type I and type II errors using LDP.”
- A New Instrumental Method for Dealing with Endogenous Selection (2010, background): “provide identification (see Hellerstein and Imbens, 1999, and Nevo, 2002).”
- Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations (2017, methodology): “es include Hainmueller (2012), Zubizarreta (2015), Chan et al. (2016), Zhao and Percival (2017), Wong and Chan (2018), and Zhao (2018). Earlier and related methods include Deville and Särndal (1992), Hellerstein and Imbens (1999), Imai and Ratkovic (2014), and Li et al. (2018). Two promising methods”
- The Econometrics of Data Combination (2007, unknown): “E(Y | Z = z) = μY + ΣY XΣ XX(E(X | Z = z)− μX) (62)”
- Efficient estimation of average treatment effects using the estimated propensity score (2003, unknown): “, Hellerstein and Imbens (1999) and Qian and Schmidt (1999).”
- Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting (2015, unknown): “When the number of matching conditions is fixed, Hellerstein and Imbens (1999) showed that an empirical likelihood calibration estimator with misspecified design weights yields inconsistent estimators in general.”