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Quantile Regression Estimates of the Effect of Student Absences on Academic Achievement

Gershenson, Seth - 2018

previously-estimated average effects to predict benefits. Moreover, it suggests that interventions that target all students would …

Persistent link: https://www.econbiz.de/10012907836

Estimating the Effect of Student Aid on College Enrollment : Evidence from a Government Grant Policy Reform

Nielsen, Helena Skyt; Soerensen, Torben; Taber, Christopher - 2021

In this paper, we investigate the responsiveness of the demand for college to changes in student aid arising from a Danish reform. We separately identify the effect of aid from that of other observed and unobserved variables such as parental income. We exploit the combination of a kinked aid...

Persistent link: https://www.econbiz.de/10013324886

The Returns to College Persistence for Marginal Students : Regression Discontinuity Evidence from University Dismissal Policies

Ost, Ben - 2016

weekly earnings. Utilizing the fact that colleges dismiss low-performing students based on exact GPA cutoffs, we use a … regression discontinuity design to estimate the earnings impacts of college. Dismissed students are permitted to apply for … readmission, but since relatively few do so, these students end up completing fewer years of school and are approximately 10 …

Persistent link: https://www.econbiz.de/10012996543

The Effects of Academic Probation on College Success : Regression Discontinuity Evidence from Four Texas Universities

Fletcher, Jason - 2018

While nearly all colleges and universities in the United States use academic probation as a means to signal to students … college may serve as a short term "wake up call" to some students, in that second semester performance is improved. However …, our findings also suggest that this short term boost in performance fades out over time and students who are on academic …

Persistent link: https://www.econbiz.de/10012930955

Average Gaps and Oaxaca–Blinder Decompositions : A Cautionary Tale About Regression Estimates of Racial Differences in Labor Market Outcomes

Słoczyński, Tymon - 2022

In this paper I demonstrate, both theoretically and empirically, that the interpretation of regression estimates of between-group differences in economic outcomes depends on the relative sizes of subpopulations under study. When the disadvantaged group is small, regression estimates are similar...

Persistent link: https://www.econbiz.de/10014084090

Regression Discontinuity Design with Continuous Measurement Error in the Running Variable

Davezies, Laurent - 2017

Since the late 90s, Regression Discontinuity (RD) designs have been widely used to estimate Local Average Treatment Effects (LATE). When the running variable is observed with continuous measurement error, identification fails. Assuming non-differential measurement error, we propose a consistent...

Persistent link: https://www.econbiz.de/10012955015

The Devil is in the Tails : Regression Discontinuity Design with Measurement Error in the Assignment Variable

Pei, Zhuan - 2016

Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the first stage relationship...

Persistent link: https://www.econbiz.de/10012979862

Estimating Causal Effects of Alcohol Access and Use on a Broad Set of Risky Behaviors : Regression Discontinuity Evidence

Fletcher, Jason - 2018

A growing body of evidence suggests large increases in criminal behavior and mortality coinciding with a young adult's 21st birthday, when alcohol consumption becomes legal. The policy implications from these findings have focused on the need to reduce drinking among young people, potentially by...

Persistent link: https://www.econbiz.de/10012915177

Regression Discontinuity and Heteroskedasticity Robust Standard Errors : Evidence from a Fixed-Bandwidth Approximation

Bartalotti, Otávio - 2018

In regression discontinuity design (RD), for a given bandwidth, researchers can estimate standard errors based on different variance formulas obtained under different asymptotic frameworks. In the traditional approach the bandwidth shrinks to zero as sample size increases; alternatively, the...

Persistent link: https://www.econbiz.de/10012917093

An Introduction to Nonparametric Regression for Labor Economists

Henderson, Daniel J. - 2018

In this article we overview nonparametric (spline and kernel) regression methods and illustrate how they may be used in labor economic applications. We focus our attention on issues commonly found in the labor literature such as how to account for endogeneity via instrumental variables in a...

Persistent link: https://www.econbiz.de/10012907832