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Chapter 71 Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and t...
Heckman, James J.; Vytlacil, Edward J. - In: Handbook of econometrics : volume 6B, (pp. 4875-5143). 2007
This chapter uses the marginal treatment effect (MTE) to unify and organize the econometric literature on the evaluation of social programs. The marginal treatment effect is a choice-theoretic parameter that can be interpreted as a willingness to pay parameter for persons at a margin of...
Persistent link: https://www.econbiz.de/10014024944
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A simple approximation to the average effect of the treatment on the treated in panel settings with selective enrolment
Gardner, John Ryan - In: Applied economics letters 25 (2018) 11, pp. 785-790
Persistent link: https://www.econbiz.de/10012129853
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A convenient omitted variable bias formula for treatment effect models
Clarke, Damian - In: Economics letters 174 (2019), pp. 84-88
Persistent link: https://www.econbiz.de/10012121031
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Let's take the bias out of econometrics
Qin, Duo - In: Journal of economic methodology 26 (2019) 2, pp. 81-98
Persistent link: https://www.econbiz.de/10012203718
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On the estimation of treatment effects with endogenous misreporting
Nguimkeu, Pierre; Denteh, Augustine; Tchernis, Rusty - In: Journal of econometrics 208 (2019) 2, pp. 487-506
Persistent link: https://www.econbiz.de/10012145072
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Portfolio selection with robust estimators considering behavioral biases in a causal network
Momen, Omid; Esfahanipour, Akbar; Seifi, Abbas - In: RAIRO / Operations research 53 (2019) 2, pp. 577-591
Persistent link: https://www.econbiz.de/10012113676
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Evidence of randomisation bias in a large-scale social experiment : the case of ERA
Sianesi, Barbara - In: Journal of econometrics 198 (2017) 1, pp. 41-64
Persistent link: https://www.econbiz.de/10011818368
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Robust uniform inference for quantile treatment effects in regression discontinuity designs
Chiang, Harold D.; Hsu, Yu-Chin; Sasaki, Yuya - In: Journal of econometrics 211 (2019) 2, pp. 589-618
Persistent link: https://www.econbiz.de/10012303853
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A bias correction approach for interference in ranking experiments
Goli, Ali; Lambrecht, Anja; Yoganarasimhan, Hema - In: Marketing science 43 (2024) 3, pp. 590-614
Persistent link: https://www.econbiz.de/10014529246
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Dynamic Hierarchical Factor Model
Moench, Emanuel; Ng, Serena; Potter, Simon - In: The Review of Economics and Statistics 95 (2013) 5, pp. 1811-1817
This paper uses multilevel factor models to characterize within- and between-block variations as well as idiosyncratic noise in large dynamic panels. Block-level shocks are distinguished from genuinely common shocks, and the estimated block-level factors are easy to interpret. The framework...
Persistent link: https://www.econbiz.de/10011009956