How robust is the evidence on the effects of college quality? Evidence from matching

By D. Black, Jeffrey A. Smith. 2004

773 citations recorded by the source corpus.

Subfields: Education, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9e4a6f68e800c2561aa0f64bb6144b90dd7f1aeb

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Citations in the corpus

Effects of High School Course-Taking on Secondary and Postsecondary Success (2012, background): “…does not rely on a parametric model and, rather, does simple differencing of outcomes of treated and matched untreated students) and does not rely on the outcomes of students who are unlikely to take a rigorous course to identify the effects on students who do take the course (Black & Smith, 2004).”
Start-Up Subsidies for the Unemployed: Long-Term Evidence and Effect Heterogeneity (2011, background): “Black and Smith (2004) show that such a lingering selection on unobservables will have its largest effects on bias for values of the propensity score in the tails of the distribution. This can be shown analytically (based on normality assumption of the joint error terms of the selection and outcome ”
From Temporary Help Jobs to Permanent Employment: What Can We Learn from Matching Estimators and Their Sensitivity? (2008, methodology): “These tables report, separately 14See Black and Smith (2004) for a relevant example.”
Race, income, and enrollment patterns in highly selective colleges, 1982-2004 (2012, background): “…employing techniques for estimating causal relationships such as instrumental variables (e.g. Long, 2007), matching (e.g. Dale and Krueger, 2001; Black and Smith, 2004), and regression discontinuity (e.g. Hoekstra, 2009), have all found similar results: students who attend higher quality…”
Race and Stratification in College Enrollment Over Time (2018, background): “A growing body of research indicates that selective college attendance leads to higher average earnings (Black & Smith, 2004; Hoekstra, 2009; M. Long, 2008), and the largest benefits may accrue to minority and other disadvantaged students (Dale & Krueger, 2011).”
Estimating the Effects of College Characteristics over the Career Using Administrative Earnings Data (2014, background): “Results from Hoekstra (2009), Black and Smith (2004), and Long (2008) all suggest that the effect of college selectivity on earnings is lower for women than for men.”
The Elephant in the Corner: A Cautionary Tale About Measurement Error in Treatment Effects Models (2010, background): “Following Black and Smith (2004) and Heckman and Navarro-Lozano (2004), the bias of the ATE at a particular value of the propensity score (i.e., E[ j P (X)]) when CIA does not hold is given by B[P (X)] = 0 0 + [1 P (X)] ( 1(P (X))) P (X)[1 P (X)] : (12) 6Future work may certainly wish to assess the…”
Changes in the Returns to Education and College Quality. (2010, neutral): “…Wales (1973), James, Alsalam, and Conaty (1989), Loury and arman (1995), Behrman, Rosenzweig, and Taubman (1996), Daniel et l. (1997), Bowen and Bok (1998), Hoxby (1998), Kane (1998), Brewer et l. (1999), Monks (2000), Hilmer (2002), Black and Smith (2004, 2006), ong (2008), and Hoekstra (2009).”
Mobility Report Cards: The Role of Colleges in Intergenerational Mobility (2017, neutral): “(6)Several studies have estimated the returns to attending certain selective colleges using admissions cutoffs and other quasi-experimental or matching methods (e.g., Dale and Krueger 2002; Black and Smith 2004; Hoekstra 2009; Hastings et al. 2013; Zimmerman 2014; Hoxby 2015; Kirkeboen et al. 2016).”