Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data

Frumento, Paolo; Mealli, Fabrizia; Pacini, Barbara; Rubin, Donald B.

doi:10.1080/01621459.2011.643719

Cited by 85 publications

(113 citation statements)

References 42 publications

Supporting

Mentioning

112

Contrasting

Order By: Relevance

“…In addition, repeated measures of the same outcome would likely make different assumptions about missingness more plausible (see, for example, Frumento et al, 2012). Second, while we conduct extensive sensitivity and robustness checks, inference with finite mixture models is notoriously difficult.…”

Section: Discussionmentioning

confidence: 99%

“…This lemma is a simple extension of the comparable IV result in Abadie (2003), and allows us to make concrete observations about otherwise unobservable groups (see also Angrist and Pischke, 2008;Frumento et al, 2012). Table 6 shows the means for select covariates for each stratum; Fig-ure 2 separately shows the means for pre-test score by principal stratum.…”

Section: Lemma 2 (Distribution Of Covariates By Principal Stratum) Umentioning

confidence: 99%

“…In practice, we could estimate the full parametric model from either a likelihood or Bayesian perspective. Indeed, some prominent applications of modelbased principal stratification utilize a direct likelihood approach (e.g., Zhang et al, 2009;Frumento et al, 2012). This approach is quite flexible and allows for straightforward comparisons between different models.…”

Section: Estimationmentioning

confidence: 99%

“…Some previous education examples include Barnard et al (2003) on the effect a randomized lottery for private school voucher use in New York City with complex noncompliance patterns (see also, Jin and Rubin, 2009); Page (2012) on the relative importance of student exposure to the labor market in career academy high schools; and Schochet (2013) on student mobility in school-based randomized trials. Outside of education, several studies have used principal stratification to analyze the JobCorps evaluation (e.g., Zhang et al, 2009;Frumento et al, 2012) and JOBS II evaluation (Mattei et al, 2013). Finally, a separate series of papers use a principal score approach, rather than model-based inference, to estimate similar quantities of interest.…”

Section: Principal Stratificationmentioning

confidence: 99%

See 3 more Smart Citations

Compared to what? Variation in the impacts of early childhood education by alternative care type

Feller¹,

Grindal²,

Miratrix³

et al. 2016

Ann. Appl. Stat.

View full text Add to dashboard Cite

Early childhood education research often compares a group of children who receive the intervention of interest to a group of children who receive care in a range of different care settings. In this paper, we estimate differential impacts of an early childhood intervention by alternative care setting, using data from the Head Start Impact Study, a large-scale randomized evaluation. To do so, we utilize a Bayesian principal stratification framework to estimate separate impacts for two types of Compliers: those children who would otherwise be in other center-based care when assigned to control and those who would otherwise be in home-based care. We find strong, positive short-term effects of Head Start on receptive vocabulary for those Compliers who would otherwise be in home-based care. By contrast, we find no meaningful impact of Head Start on vocabulary for those Compliers who would otherwise be in other center-based care. Our findings suggest that alternative care type is a potentially important source of variation in early childhood education interventions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Lemma 2 (Distribution Of Covariates By Principal Stratum) Umentioning

confidence: 99%

Section: Estimationmentioning

confidence: 99%

Section: Principal Stratificationmentioning

confidence: 99%

See 2 more Smart Citations

Compared to what? Variation in the impacts of early childhood education by alternative care type

Feller¹,

Grindal²,

Miratrix³

et al. 2016

Ann. Appl. Stat.

View full text Add to dashboard Cite

show abstract

“…As noted above, relative to the other strata, never takers tend to have on average better education and labor market histories at baseline, while at the same time they are more likely to be female, married, and have children. Hence, as discussed by Frumento et al (2012), one possible reason why these individuals decide against enrolling in JC may be that they believe they would not benefit from it (they may consider themselves to be "too good" for the program), while another reason may be that some of them are not able to enroll because of family constraints (e.g., difficulty in finding childcare). 17 JC administrators could use this information to increase the participation of these individuals in JC.…”

mentioning

confidence: 99%

Going beyond LATE

2017

View full text Add to dashboard Cite

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. 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 treatment effect on the treated (ATT), which are parameters not point identified with an IV under heterogeneous treatment effects. The main assumptions employed to bound the ATE and ATT are monotonicity in the treatment of the average outcomes of specified subpopulations, and mean dominance assumptions across the potential outcomes of these subpopulations. Importantly, the direction of the mean dominance assumptions can be informed from data, and some of our bounds do not require an outcome with bounded support. We employ these bounds to assess the effectiveness of the JC program using data from a randomized social experiment with non-compliance (a common feature of social experiments). Our empirical results indicate that the effect of JC on eligible applicants (the target population) four years after randomization is to increase weekly earnings and employment by at least $24.61 and 4.3 percentage points, respectively, and to decrease yearly dependence on public welfare benefits by at least $84.29. Furthermore, the effect of JC on participants (the treated population) is to increase weekly earnings by between $28.67 and $43.47, increase employment by between 4.9 and 9.3 percentage points, and decrease public benefits received by between $108.72 and $140.29. Our results also point to positive average effects of JC on the labor market outcomes of those individuals who decide not to enroll in JC regardless of their treatment assignment (the so-called never takers), suggesting that these individuals would indeed benefit from participating in JC. Terms of use: Documents in JEL Classification:J30, C13, C21

show abstract

Combining Matching and Nonparametric Instrumental Variable Estimation: Theory and An Application to the Evaluation of Active Labour Market Policies

Frölich

Lechner

2014

J of Applied Econometrics

View full text Add to dashboard Cite

We show how instrumental variable and matching estimators can be combined in order to identify a broader array of treatment effects. Instrumental variable (IV) estimators are known to estimate effects only for the compliers, representing a subset of the entire population. By combining IV with matching, we can estimate the treatment effects for the always-and never-takers as well. Since in many cases these groups are the (endogenous) outcome of some assignment process, such estimates also help in judging the implications of such a selection process. In our application to the effects of participation in active labour market programmes in Switzerland, we find large and lasting positive employment effects for the compliers, whereas the effects for the always-and never-participants are small. In addition, the compliers have worse employment outcomes without treatment than those who participate in the programme with or without the intervention under investigation. This suggests that the earlier assignment policy of the caseworkers was inefficient in that the always-participants were neither those unemployed who would experience the highest expected treatment effects nor those unemployed who had the largest need for assistance.

show abstract

Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data

Cited by 85 publications

References 42 publications

Compared to what? Variation in the impacts of early childhood education by alternative care type

Compared to what? Variation in the impacts of early childhood education by alternative care type

Going beyond LATE

Combining Matching and Nonparametric Instrumental Variable Estimation: Theory and An Application to the Evaluation of Active Labour Market Policies

Contact Info

Product

Resources

About