Matching As An Econometric Evaluation Estimator
By James J. Heckman, Hidehiko Ichimura, Petra E. Todd. 1998
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
- Martin Huber
- Kosuke Imai
- Susan Athey
- M. Lechner
- Marco Caliendo
- Markus Frölich
- M. D. Cattaneo
Citations in the corpus
- Approximate residual balancing: debiased inference of average treatment effects in high dimensions (2016, methodology): “This program is described in detail by Hotz et al. [2006]. In order to evaluate the effect of GAIN, the Manpower Development Research Corporation conducted a randomized study between 1988 and 1993, where a random subset of GAIN registrants were eligible to receive GAIN benefits immediately, whereas ”
- Moving the Goalposts: Addressing Limited Overlap in Estimation of Average Treatment Effects by Changing the Estimand (2006, unknown): “See discussions in Hahn (1998), Heckman, Ichimura, and Todd (1998), Hirano, Imbens, and Ridder (2003), Lechner (2002a), and others.”
- Some Practical Guidance for the Implementation of Propensity Score Matching (2008, methodology): “Some randomness is needed that guarantees that persons with identical characteristics can be observed in both states (Heckman et al., 1998b).”
- The Impact of Ethiopia's Productive Safety Net Programme and its Linkages (2009, unknown): “…of programme impact provided that: (1) a comparable group of non-beneficiary households is available; and (2) there is access to carefully collected household survey data with many variables that are correlated with programme participation and the outcome variables (Heckman et al., 1997, 1998).”
- Evaluating the effect of education on earnings: models, methods and results from the National Child Development Survey (2005, methodology): “A different class of matching estimators has recently been proposed by Heckman, Ichimura and Todd (1997, 1998) and Heckman, Ichimura, Smith and Todd (1998) .”
- Organic farmers or conventional farmers: Where's the money? (2012, background): “There have been a number of reviews on theoretical background (Heckman et al., 1998; Imbens, 2004; Imbens and Wooldridge, 2009; Morgan and Harding, 2006; Nichols, 2007) and practical applications (Abadie et al.”
- Programme Evaluation with Multiple Treatments (2004, methodology): “Heckman et al. (1998) analyzed local polynomial matching for the estimation of average treatment effects on the treated.”
- (International) R&D Collaboration and SMEs: The effectiveness of targeted public R&D support schemes (2014, background): “…using a selected group of non-subsidized firms that have similar characteristics in X: 4 Matching estimators have been applied and discussed by many scholars, amongst which Angrist (1998), Dehejia and Wahba (1999), Heckman et al. (1997, 1998a, 1998b), Lechner (1999, 2000) and Smith and Todd (2005).”
- Regression and matching estimates of the effects of elite college attendance on educational and career achievement (2006, methodology): “Assuming linearity to account for selection bias is problematic, given that there is rarely theoretical justification for a specific functional form (Black and Smith, 2003; Heckman et al., 1998).”
- The benefits of rural roads: enhancing income opportunities for the rural poor (2002, methodology): “Following the methodology proposed by Heckman, Ichimura and Todd (1998) , this adjustment is applied over a set of characteristics X. Such adjustment should ensure that the distribution of the indicator Y0 (i.e.”