The Propensity Score with Continuous Treatments

By Keisuke Hirano, Guido W. Imbens. 2005

1,196 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Holger Görg
2. Yundan Gong
3. Sourafel Girma
4. Sandra Lancheros
5. Alfonso Flores-Lagunes
6. Carlos A Flores
7. M. V. Ehrlich
8. Helmut Fryges

In Statistics and Probability

1. Ioana Bica
2. Mihaela van der Schaar
3. Carlos A Flores
4. Alfonso Flores-Lagunes
5. James Jordon
6. Angela Zhou
7. Stefan Tubbicke
8. Nathan Kallus

Citations in the corpus

• The State of Applied Econometrics - Causality and Policy Evaluation (2016, neutral): “Exceptions include Imbens [2000], Lechner [2001], Imai and Van Dyk [2004], Cattaneo [2010], Hirano and Imbens [2004] and Yang et al. [2016]. Let W = {0, 1, .”
• Policy Evaluation and Optimization with Continuous Treatments (2018, methodology): “The generalized propensity score (GPS) is defined as and generalizes the discrete propensity score p a = P [ t i = a ] for the continuous setting; we assume it exists [7].”
• A Stata Package for the Application of Semiparametric Estimators of Dose–Response Functions (2014, methodology): “Under weak unconfoundedness, we can apply the techniques based on the GPS with continuous treatments introduced by Hirano and Imbens (2004). Let r(t, x) = fT |X(t|x) be the conditional density of the treatment given the covariates.”
• Evaluating Anti-Poverty Programs (2005, positive): “In generalizing to the case of multi-valued or continuous treatments one defines the generalized propensity score given by the conditional probability of a specific level of treatment (Imbens, 2000; Lechner, 2001; Hirano and Imbens, 2004).”
• Efficient semiparametric estimation of multi-valued treatment effects under ignorability (2010, positive): “(See also Hirano and Imbens (2004) and Imai and van Dyk (2004) for extensions of this idea.)”
• Estimating Direct and Indirect Effects of Foreign Direct Investment on Firm Productivity in the Presence of Interactions between Firms (2014, background): “6 Seminal theoretical papers on “causal inference with interactions” include Sobel (2006); Rosenbaum (2007); Hudgens and Halloran (2008) and Manski (2013).”
• Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps (2012, methodology): “Hirano and Imbens (2004) introduced the concept of “generalized propensity score” (GPS) and extended the results in Rosenbaum and Rubin (1983) to the case of a continuous treatment.”
• Evaluating continuous training programmes by using the generalized propensity score (2012, methodology): “ Hirano and Imbens (2004) prove that, if assignment to treatment is weakly unconfounded”
• An Empirical Investigation of Professional Development Effects on Literacy Instruction Using Daily Logs (2007, methodology): “Additionally, although I have demonstrated the effect of intense PD as a dichotomous treatment, the methods could be applied for a continuous variable using a generalized propensity score (see, e.g., Hirano & Imbens, 2004; Imai & VanDyk, 2004; Imbens, 1999).”
• Chief Executive Officer Equity Incentives and Accounting Irregularities (2010, background): “See Hirano and Imbens (2004) for a theoretical discussion and Armstrong, Ittner, and Larcker (2009) and Armstrong, Blouin, and Larcker (2009) for examples of implementing this approach.”