Interpreting Instrumental Variables Estimates of the Returns to Schooling

By Jeffrey R. Kling. 2001

214 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Education, Gender Studies

View Paper: https://www.semanticscholar.org/paper/78574f116f7d9ffe65a2bcce5bbec6f5c207f337

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Citations in the corpus

Are There Civic Returns to Education (2003, methodology): “See the appendix in Dee (2003b) for details.”
Understanding the Income Gradient in College Attendance in Mexico: The Role of Heterogeneity in Expected Returns (2014, methodology): “Second, being poor does not necessarily imply being credit constrained: only 17Card (1995) and Kling (2001) find evidence of important credit constraints for an older cohort of the National Longitudinal Survey (NLS Young Men), while Cameron and Taber (2004) do not find evidence of credit…”
A Likelihood-Based Analysis for Relaxing the Exclusion Restriction in Randomized Experiments with Imperfect Compliance (2013, background): “…examples of various choices of the instrumental variable such as quarter of birth (Angrist and Krueger, 1991), college proximity (Card, 1995; Kling, 2001), education policy reform (Denny and Harmon, 2000), presence of any sisters (Deschenes, 2002), and location of childhood (Becker and…”
Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond (2005, unknown): “Distance to college is used as an instrument for schooling by Card (1993), Kling (2001) and Cameron and Taber (2004).”
Understanding Instrumental Variables in Models with Essential Heterogeneity (2006, unknown): “If the functional forms of K0 and K1 are known up to unknown parameters, one can run a (possibly nonlinear) regression of Y on D and P (z) based on the conditional expectation of Y and its residual: Y = α0 + α1D +DK1 (P (z)) + (1−D)K0 (P (z)) + ε, (1.6) where E (ε | D,P (z)) = 0.”
Returns to investment in education: a further update (2002, unknown): “A good example is the impact of technology on wage differentials, which led to a huge literature on changing wage structures (see, for example, Krueger, 1993; Patrinos, 2001). At the same time, the importance of returns to education is seen in their adoption as a key indicator by the OECD (2001a) in”
Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality (2009, background): “16For example, see Cameron and Taber (2004), Card (1995, 1999), Carneiro, Heckman and Vytlacil (2007), Currie and Moretti (2003), Kane and Rouse (1995), Kling (2001), among others.”
Borrowing Constraints and the Returns to Schooling (2000, unknown): “Both Card 1995b and Kling1997 focus on parents education in these interactions.”
Why Not Green Marketing? Determinates of Consumers’ Intention to Green Purchase Decision in a New Developing Nation (2020, background): “Discriminant validity is recognized when the square root of the average variance extracted (AVE) for each construct is greater than the correlations of all other constructs [153,156,157].”
Community Colleges and Upward Mobility (2019, background): “The analysis sample begins with student-level data from the Texas Education Agency (TEA) covering the population of Texas public high school students.15 I link these students to administrative records from the Texas Higher Education Coordinating Board (THECB), capturing all enrollments and degrees a”
Causal Inference With General Treatment Regimes (2004, background): “The effect of education on income has long been an important topic in economics; researchers have quantified the effect by comparing years of education and individual wage in IV analyses (e.g., Angrist and Krueger 1991, 1992; Card 1995; Kling 2001).”