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The elephant in the corner : a cautionary tale about measurement error in treatment effects models
Millimet, Daniel L. - 2010
Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...
Persistent link: https://www.econbiz.de/10008901216
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The elephant in the corner : a cautionary tale about measurement error in treatment effects models
Millimet, Daniel L. - 2011
Persistent link: https://www.econbiz.de/10009693824
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The Elephant in the Corner : A Cautionary Tale About Measurement Error in Treatment Effects Models
Millimet, Daniel L. - 2010
Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...
Persistent link: https://www.econbiz.de/10013138739
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Achieving Reliable Causal Inference with Data-Mined Variables : A Random Forest Approach to the Measurement Error Problem
Yang, Mochen - 2020
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed by the inclusion of those...
Persistent link: https://www.econbiz.de/10012850047
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Essays in labor economics : empirical methods and evaluations of social and employment programs
Pei, Zhuan - 2012
Persistent link: https://www.econbiz.de/10011825627
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Heterogeneous treatment effects with mismeasured endogenous treatment
Ura, Takuya - In: Quantitative economics : QE ; journal of the … 9 (2018) 3, pp. 1335-1370
This paper studies the identifying power of an instrumental variable in the nonparametric heterogeneous treatment … effect framework when a binary treatment is mismeasured and endogenous. Using a binary instrumental variable, I characterize …
Persistent link: https://www.econbiz.de/10011994692
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From late to MTE : alternative methods for the evaluation of policy interventions
Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - 2016
This paper provides an introduction into the estimation of Marginal Treatment Effects (MTE). Compared to the existing … econometric techniques who would like to use MTE estimation. Our framework of analysis is a generalized Roy model based on the … discuss MTE estimation as an alternative and more informative way of exploiting a continuous instrument. We clarify the …
Persistent link: https://www.econbiz.de/10011502829
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From late to MTE : alternative methods for the evaluation of policy interventions
Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - 2016
This paper provides an introduction into the estimation of Marginal Treatment Effects (MTE). Compared to the existing … econometric techniques who would like to use MTE estimation. Our framework of analysis is a generalized Roy model based on the … discuss MTE estimation as an alternative and more informative way of exploiting a continuous instrument. We clarify the …
Persistent link: https://www.econbiz.de/10011499992
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From LATE to MTE : alternative methods for the evaluation of policy interventions
Cornelißen, Thomas; Dustmann, Christian; Raute, Anna; … - In: Labour economics : official journal of the European … 41 (2016), pp. 47-60
Persistent link: https://www.econbiz.de/10011703401
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On heckits, LATE, and numerical equivalence
Kline, Patrick; Walters, Christopher R. - 2018
Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates...
Persistent link: https://www.econbiz.de/10011825221