Chapter 71 Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New Environments

Heckman, James J.; Vytlacil, Edward

doi:10.1016/s1573-4412(07)06071-0

Cited by 323 publications

(415 citation statements)

References 127 publications

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“…6 Due to the fact that we rely on previously developed methodology, detailed description of the propensity score method, its application in the evaluation as well as some methodological concepts utilized in the empirical section (such as average treatment effect of the treated) is not replicated in the paper to save the space. Readers requiring more details on the methodology could find Heckman and Vytlacil (2007a), Heckman and Vytlacil (2007b), Blundell and Costa-Dias (2008) or Gertler et al (2011) extremely helpful.…”

Section: Dataset and Empirical Strategymentioning

confidence: 99%

Ievaluation of Research and Development Tax Incentives Scheme in Croatia

Aralica

Botrić²

2013

Economic Research-Ekonomska Istraživanja

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According to the European Innovation Scoreboard metrics Croatia belongs to the group of moderate innovators, i.e. a country with below average innovation performance in comparison to the EU average in the period 2009-2010. Government subsidies are frequently introduced to improve countries' innovation performance. Whether existing R&D tax scheme in Croatia produces expected results is the key research question analyzed in the paper. Based on the microeconometric analysis of individual firms' data, we confirm positive effect of the subsidies on expenditures in research and development as well as on product innovation. However, the significant effect on process innovation is not found.

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Section: Dataset and Empirical Strategymentioning

confidence: 99%

Ievaluation of Research and Development Tax Incentives Scheme in Croatia

Aralica

Botrić²

2013

Economic Research-Ekonomska Istraživanja

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“…Heckman and Vytlacil, 2007;French and Taber, 2011;Blundell and Costa Dias, 2009), and excellent technical treatments of MTE can be found in the papers by Heckman and Vytlacil (1999, 2001b and in the application of Carneiro et al (2011). Drawing on these earlier papers, we provide an introduction to the MTE framework, developing it in a way that we believe is accessible to the applied economist.…”

Section: Discussionmentioning

confidence: 98%

“…It is therefore sometimes referred to as uniformity rather than monotonicity assumption (e.g., Heckman and Vytlacil, 2007).…”

Section: Covariate-specific IVmentioning

confidence: 99%

“…3 Some recent surveys provide insightful discussions about MTE, see for example Blundell and Costa Dias (2009) who discuss MTE among a range of alternative policy evaluation approaches, French and Taber (2011) who discuss treatment effects and MTE and its relation to the Roy model, and the excellent, comprehensive, but technical treatments of MTE in Heckman and Vytlacil (2007) and Heckman, Urzúa and Vytlacil (2006), based on the earlier work by Heckman and Vytlacil (1999, 2001a, 2001b.…”

Section: Introductionmentioning

confidence: 99%

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From LATE to MTE: Alternative methods for the evaluation of policy interventions

et al. 2016

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Compared to the existing surveys on the subject, our paper is less technical and speaks to the applied economist with a solid basic understanding of econometric techniques who would like to use MTE estimation. Our framework of analysis is a generalized Roy model based on the potential outcomes framework, within which we define different treatment effects of interest, and review the well-known case of IV estimation with a discrete instrument resulting in a local average treatment effect (LATE). Turning to IV estimation with a continuous instrument we demonstrate that the 2SLS estimator may be viewed as a weighted average of LATEs, and discuss MTE estimation as an alternative and more informative way of exploiting a continuous instrument. We clarify the assumptions underlying the MTE framework and illustrate how the MTE estimation is implemented in practice. Terms of use: Documents inJEL-Codes: C260, I260.

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“…those individuals whose mental health outcome deteriorates due to a change in the instrument (Angrist and Imbens, 1995). In the case of the continuous instrumental variable (intentional homicide rates), the identied eect is the causal marginal treatment eect (MTE) (Heckman and Vytlacil, 2007). Given that the endogenous regressor SDA is continuous, the eects are weighted by the compliers, where the weights are determined by how the compliers 9 are distributed over the range of the endogenous variable m. Hence, the estimated eects have to be interpreted within the scope of the particular subpopulation of compliers and cannot be interpreted as the average eect of the whole sample population.…”

Section: Introductionmentioning

confidence: 99%