1,721,435 research outputs found

    Swiss Apprenticeship Market Correspondence Test

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    Data related to a field experiment (correspondence test) in the Swiss apprenticeship market 2018/2019. The experiment investigated the effects of applicant gender and parental occupation in applications to apprenticeships on callback rates (invitations to interviews or trial apprenticeships)

    Replication data for "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments"

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    Replication data for Hans Fricke, Markus Frölich, Martin Huber, and Michael Lechner (2020): "Endogeneity and non-response bias in treatment evaluation - nonparametric identification of causal effects by instruments", Journal of Applied Econometrics, forthcoming. "expdata.RData" contains the data in R format. "attrition late public use code.R" contains the R code for replicating the empirical results in Table 6 of the paper. The aim is to evaluate the causal effect of a treatment (university gym visits) on an outcome (self-assessed health of students) in the presence of both treatment endogeneity and attrition/non-response bias, based on two distinct instrumental variables for the treatment (randomized cash incentive to visit the gym) and response (cash lottery for participating in the follow-up survey)

    Replication Data for "Direct and indirect treatment effects - causal chains and mediation analysis with instrumental variables"

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    2 data sets used as empirical illustrations for the semiparametric estimation of causal direct and indirect effects of a binary treatment based on instrumental variables. The method evaluates the indirect effect, which operates through a mediator (i.e. intermediate variable) that is situated on the causal path between the treatment and the outcome, as well as the unmediated direct effect of the treatment by using distinct instruments for the endogenous treatment and the endogenous mediator. The first data set contains observations from the British Household Panel Survey, the second one from the Job Corps experimental data

    Replication Data for "Direct and Indirect Effects Based on Difference- in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery"

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    Data set from the “Young Men in High School and Beyond” (YESB) survey" for analyzing the impact of the Vietnam draft lottery on political preferences. It was used as empirical illustration for a difference-in-differences approach for disentangling a total treatment effect within specific subpopulations into a direct effect and an indirect effect operating through a binary mediating variable. The results suggest that a high draft risk due to the draft lottery outcome leads to an increase in mild preferences for the Republican Party, but has no effect on strong preferences foreither party. The increase in Republican support is mostly driven by the direct effect not operating through the mediator that is military service

    Replication data for "Direct and indirect effects of continuous treatments based on generalized propensity score weighting"

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    The data set comes from the public use data of the Job Corps experimental study, a U.S. educational intervention for disadvantaged youth, to demonstrate the application of causal mediation analysis with a continuous treatment variable. The application (see R code) disentangles the effect of time spent in academic or vocational training on crime into an indirect effect operating through the mediator employment and a direct (remainder) effect covering any other causal mechanisms

    Replication Data for "Evaluating an Information Campaign about Rural Development Policies in FYR Macedonia"

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    Data set related to a study that investigates the effects of a local information campaign on farmers’ interest in a rural development programme (RDP) in North Macedonia. The results suggest that while the campaign succeeded in informing farmers, it had a negative, albeit only marginally significant, effect on the reported possibility of using future RDP support. This result can be attributed to increased awareness of administrative burden associated with RDP participation

    Replication Data for "Direct and indirect treatment effects - causal chains and mediation analysis with instrumental variables"

    No full text
    2 data sets used as empirical illustrations for the semiparametric estimation of causal direct and indirect effects of a binary treatment based on instrumental variables. The method evaluates the indirect effect, which operates through a mediator (i.e. intermediate variable) that is situated on the causal path between the treatment and the outcome, as well as the unmediated direct effect of the treatment by using distinct instruments for the endogenous treatment and the endogenous mediator. The first data set contains observations from the British Household Panel Survey, the second one from the Job Corps experimental data

    Replication data for "On the sensitivity of wage gap decompositions"

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    Replication data for "On the sensitivity of wage gap decompositions". The paper investigates the sensitivity of average wage gap decompositions to methods resting on different assumptions regarding endogeneity of observed characteristics, sample selection into employment, and estimators’ functional form. Applying five distinct decomposition techniques to estimate the gender wage gap in the U.S. using data from the National Longitudinal Survey of Youth 1979, it is found that the magnitudes of the wage gap components are generally not stable across methods. Furthermore, the definition of the observed characteristics matters: merely including their levels (as frequently seen in wage decompositions) entails smaller explained and larger unexplained components than when including both their levels and histories in the analysis

    Replication Data for "Direct and Indirect Effects Based on Difference- in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery"

    No full text
    Data set from the “Young Men in High School and Beyond” (YESB) survey" for analyzing the impact of the Vietnam draft lottery on political preferences. It was used as empirical illustration for a difference-in-differences approach for disentangling a total treatment effect within specific subpopulations into a direct effect and an indirect effect operating through a binary mediating variable. The results suggest that a high draft risk due to the draft lottery outcome leads to an increase in mild preferences for the Republican Party, but has no effect on strong preferences foreither party. The increase in Republican support is mostly driven by the direct effect not operating through the mediator that is military service

    Data repository for "Impact evaluation in firms and organizations"

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    Data sets as well as R and Python code of the use cases in the book "Impact evaluation in firms and organizations
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