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Nowcasting the impact of COVID-19 on education, intergenerational mobility and earnings inequality in Sub-Saharan Africa
Neidhöfer, Guido; Lustig, Nora; Larroulet, Patricio - 2022 - This version: June 2022
average, secondary school completion rates decrease by 12 percentage points overall and by 16 points for children with low …. disadvantaged children, earnings inequality could increase between one and four Gini points, depending on the assumptions. …
Persistent link: https://www.econbiz.de/10013275358
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The intergenerational effects of requiring unemployment benefit recipients to engage in non-search activities
Cobb-Clark, Deborah A.; Dahmann, Sarah Christina; … - 2020
introducing non-search activity requirements for unemployment benefit recipients. The Mutual Obligations Initiative (MOI) required … people aged 18-34 receiving unemployment benefits to undertake a range of non-search activities (e.g., volunteering, training … a lower incidence of unemployment benefit receipt in comparison to those whose fathers were not. More detailed …
Persistent link: https://www.econbiz.de/10012270900
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Going beyond LATE : bounding average treatment effects of job corps training
Chen, Xuan; Flores, Carlos; Flores-Lagunes, Alfonso - 2015
We derive nonparametric sharp bounds on average treatment effects with an instrumental variable (IV) and use them to evaluate the effectiveness of the Job Corps (JC) training program for disadvantaged youth. We concentrate on the population average treatment effect (ATE) and the average...
Persistent link: https://www.econbiz.de/10011388102
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Going beyond LATE : bounding average treatment effects of job corps training
Chen, Xuan; Flores, Carlos; Flores-Lagunes, Alfonso - 2017
We derive nonparametric sharp bounds on average treatment effects with an instrumental variable (IV) and use them to evaluate the effectiveness of the Job Corps training program for disadvantaged youth. We focus on the population average treatment effect (ATE) and the average treatment effect on...
Persistent link: https://www.econbiz.de/10012114718
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Testing for selection bias
Joo, Joonhwi; LaLonde, Robert John - 2014
This paper uses the control function to develop a framework for testing for selection bias. The idea behind our framework is if the usual assumptions hold for matching or IV estimators, the control function identifies the presence and magnitude of potential selection bias. Averaging this...
Persistent link: https://www.econbiz.de/10010407986
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Viewpoint: estimating the causal effects of policies and programs
Smith, Jeffrey A.; Sweetman, Arthur - 2016
Estimation, inference and interpretation of the causal effects of programs and policies have all advanced dramatically … brought about by the "credibility revolution," and the scientific value that follows from grounding estimation and …
Persistent link: https://www.econbiz.de/10011518119
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Endogeneity and Non-Response Bias in Treatment Evaluation : Nonparametric Identification of Causal Effects by Instruments
Fricke, Hans - 2015
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the treatment and a continuous instrument for...
Persistent link: https://www.econbiz.de/10013013571
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Partial identification of the distribution of treatment effects with an application to the Knowledge is Power Program (KIPP)
Frandsen, Brigham R.; Lefgren, Lars - In: Quantitative economics : QE ; journal of the … 12 (2021) 1, pp. 143-171
We bound the distribution of treatment effects under plausible and testable assumptions on the joint distribution of potential outcomes, namely that potential outcomes are mutually stochastically increasing. We show how to test the empirical restrictions implied by those assumptions. The...
Persistent link: https://www.econbiz.de/10012432832
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Layered policy analysis program evaluation using the marginal treatment effect
Mourifié, Ismael; Wan, Yuanyuan - 2021 - This version: Sunday 4th April, 2021
This paper proposes a unified approach to derive sharp bounds on all conventional policy parameters when the instrumental variables (IVs) are potentially invalid. Using a Vine Copula approach, we propose a novel characterization of the identified sets for the marginal treatment effect (MTE) and...
Persistent link: https://www.econbiz.de/10012508661
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Bounding program benefits when participation is misreported
Tommasi, Denni; Zhang, Lina - 2020
In empirical research, measuring correctly the benefits of welfare interventions is incredibly relevant for policymakers as well as academic researchers. Unfortunately, the endogenous program participation is often misreported in survey data and standard instrumental variable techniques are not...
Persistent link: https://www.econbiz.de/10012243324