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Tackling social exclusion : evidence from Chile
Carneiro, Pedro; Galasso, Emanuela; Ginja, Rita - 2014
We study an innovative welfare program in Chile which combines a period of frequent home visits to households in extreme poverty, with guaranteed access to social services. Program impacts are identified using a regression discontinuity design, exploring the fact that program eligibility is a...
Persistent link: https://www.econbiz.de/10010357359
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Recovering latent variables by matching
Arellano, Manuel; Bonhomme, Stéphane - 2020
We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent …
Persistent link: https://www.econbiz.de/10012152500
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Identification and efficiency bounds for the average match function under conditionally exogenous matching
Graham, Bryan S.; Imbens, Guido; Ridder, Geert - 2016
following matching mechanism: take a random draw from the W = wj subgroup of the first population and match her with an …), denote the expected output associated with this match. We show that (i) the AMF is identified when matching is conditionally … exogenous, (ii) conditionally exogenous matching is compatible with a pairwise stable aggregate matching equilibrium under …
Persistent link: https://www.econbiz.de/10011440476
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Inference in experiments with matched pairs
Bai, Yuehao; Romano, Joseph P.; Shaikh, Azeem M. - 2019
This paper studies inference for the average treatment effect in randomized controlled trials where treatment status is determined according to a "matched pairs" design. By a "matched pairs" design, we mean that units are sampled i.i.d. from the population of interest, paired according to...
Persistent link: https://www.econbiz.de/10011997352
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Microeconomic models with latent variables : applications of measurement error models in empirical industrial organization and labor economics
Hu, Yingyao - 2015
This paper reviews recent developments in nonparametric identi.cation of mea- surement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...
Persistent link: https://www.econbiz.de/10010469057
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Long term impacts of compensatory preschool on health and behavior : evidence from head start
Carneiro, Pedro; Ginja, Rita - 2012
This paper provides new estimates of the medium and long-term impacts of Head Start on the health and behavioral problems of its participants. We identify these impacts using discontinuities in the probability of participation induced by program eligibility rules. Our strategy allows us to...
Persistent link: https://www.econbiz.de/10009486111
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Inference under covariate-adaptive randomization with multiple treatments
Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2017
This paper studies inference in randomized controlled trials with covariate-adaptive randomization when there are multiple treatments. More specifically, we study in this setting inference about the average effect of one or more treatments relative to other treatments or a control. As in Bugni...
Persistent link: https://www.econbiz.de/10011758009
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Inference under covariate-adaptive randomization with multiple treatments
Bugni, Federico A.; Canay, Ivan A.; Shaikh, Azeem M. - 2019
This paper studies inference in randomized controlled trials with covariate-adaptive randomization when there are multiple treatments. More specifically, we study in this setting inference about the average effect of one or more treatments relative to other treatments or a control. As in Bugni...
Persistent link: https://www.econbiz.de/10011958281
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Evaluating marginal policy changes and the average effect of treatment for individuals at the margin
Carneiro, Pedro; Heckman, James J.; Vytlacil, Edward - 2009
This paper develops methods for evaluating marginal policy changes. We characterize how the effects of marginal policy changes depend on the direction of the policy change, and show that marginal policy effects are fundamentally easier to identify and to estimate than conventional treatment...
Persistent link: https://www.econbiz.de/10003869267
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Direct and indirect treatment effects : causal chains and mediation analysis with instrumental variables
Frölich, Markus; Huber, Martin - 2014
This paper discusses the nonparametric identi.cation of causal direct and indirect effects of a binary treatment based on instrumental variables. We identify the indirect effect, which operates through a mediator (i.e. intermediate variable) that is situated on the causal path between the...
Persistent link: https://www.econbiz.de/10010382130