39 research outputs found

    An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schools

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    Several previous studies have relied on religious affiliation and the proximity to Catholic schools as exogenous sources of variation for identifying the effect of Catholic schooling on a wide variety of outcomes. Using three separate approaches, we examine the validity of these instrumental variables. We find that none of the candidate instruments is a useful source of identification of the Catholic school effect, at least in currently available data sets

    Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools

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    We develop estimation methods that use the amount of selection on the observables in a model as a guide to the amount of selection on the unobservables. We show that if the observed variables are a random subset of a large number of factors that influence the endogenous variable and the outcome of interest, then the relationship between the index of observables that determines the endogenous variable and the index that determines the outcome will be the same as the relationship between the indices of unobservables that determine the two variables. In some circumstances this fact may be used to identify the effect of the endogenous variable. We also propose an informal way to assess selectivity bias based on measuring the ratio of selection on unobservables to selection on observables that would be required if one is to attribute the entire effect of the endogenous variable to selection bias. We use our methods to estimate the effect of attending a Catholic high school on a variety of outcomes. Our main conclusion is that Catholic high schools substantially increase the probability of graduating from high school and, more tentatively, college attendance. We do not find much evidence for an effect on test scores.

    Endophilia or Exophobia:Beyond Discrimination

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    The discrimination literature treats outcomes as relative. But does a differential arise because agents discriminate against others - exophobia - or because they favour their own kind - endophilia? Using a field experiment that assigned graders randomly to students' examinations that did/did not contain names, we find favouritism but no discrimination by nationality nor by gender. We are able to identify these preferences under a wide range of behavioural scenarios regarding the graders. That endophilia dominates exophobia alters how we should measure discriminatory wage differentials and should inform the formulation of anti-discrimination policy

    The UK gender pay gap 1997-2015: what is the role of the public sector?

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    The Labour Force Survey is used to examine the influence of sector on the UK gender pay gap 1997ā€“2015. The assessment is twofold: first comparing gender pay gaps within sectors and second through identifying the contribution of the concentration of women in the public sector to the overall gender pay gap. The longā€term narrowing of the gender pay gap, which predominately reflects relative improvements in women's productivityā€related characteristics, is found to stall in 2010 within each sector. This is considered in the context of claims that public sector austerity represents a critical turning point in progress toward gender equality at work

    Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools

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    In this paper we measure the effect of Catholic high school attendance on educational attainment and test scores. Because we do not have a good instrumental variable for Catholic school attendance, we develop new estimation methods based on the idea that the amount of selec-tion on the observed explanatory variables in a model provides a guide to the amount of selection on the unobservables. We also propose an informal way to assess selectivity bias based on measuring the ratio o

    An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schooling

    No full text
    Several previous studies have relied on religious affiliation and the proximity to Catholic schools as exogenous sources of variation for identifying the effect of Catholic schooling on a wide variety of outcomes. Using three separate approaches, we examine the validity of these instrumental variables. We find that none of the candidate instruments is a useful source of identification in currently available data sets. We also investigate the role of exclusion restrictions versus nonlinearity as the source of identification in bivariate probit models. The analysis may be useful as a template for the assessment of instrumental variables strategies in other applications.
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