Ability Sorting and the Returns to College Major

By P. Arcidiacono. 2004

902 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/4eeaa6a6ca3e4fef07832a7f73a3a2dc5bf96018

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Citations in the corpus

Do the Benefits of College Still Outweigh the Costs (2014, neutral): “We then combine this information 16 See Greenstone and Looney (2011).”
Race and Gender Differences in College Major Choice (2010, neutral): “Arcidiacono (2004) is the only study that investigates college major choice as a dynamic process.”
The Specificity of General Human Capital: Evidence from College Major Choice (2015, background): “Column 1 indicates that conditional on year effects and graduate degree receipt, business and science majors earn 0.19 and 0.23 log point higher incomes relative to the residual major category, respectively.”
Math, girls and socialism (2018, background): “This could simply be because math training enhances cognitive and non-cognitive skills, such as clarity in expressions, logical reasoning and inference (Joensen & Nielsen 2009, Arcidiacono 2004).”
Field of Study, Earnings, and Self-Selection* (2016, neutral): “Arcidiacono et al. (2012), Attanasio and Kaufmann (2009), and Stinebrickner and Stinebrickner (2014).”
The Benefits of Attending Community College: A Review of the Evidence (2011, background): “Looking across the entire college population, Arcidiacono (2004) found higher returns to”
The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications (2011, neutral): “Uit = U(yit + w(zit; it)dit nitdit; 1 dit;nit(1 dit); it(1 dit); it(1 dit)); (5)”
Affirmative Action and the Quality-Fit Tradeoff (2016, neutral): “73 Similar low returns, albeit with the same dataset, are in Arcidiacono (2004).”
School-to-Work Linkages, Educational Mismatches, and Labor Market Outcomes (2019, methodology): “It is known that the cognitive ability of students varies across di erent elds of study (Arcidiacono, 2004). When especially high-ability sort into strongly linking elds, unmeasured ability might partially explain the pattern of results that we report in this paper. For this reason we have used the ”
Affirmative Action in Higher Education: How do Admission and Financial Aid Rules Affect Future Earnings? (2005, background): “12 Under these assumptions, equation (2) can be rewritten as:”
The lifetime earnings premia of different majors: Correcting for selection based on cognitive, noncognitive, and unobserved factors (2014, methodology): “Using a dynamic discrete-choice framework, Arcidiacono (2004) finds that expected earnings play a role in major choice, although less than that found in Berger (1988).”
EVOLUTION OF GENDER DIFFERENCES IN POST-SECONDARY HUMAN CAPITAL INVESTMENTS: COLLEGE MAJORS (2014, positive): “Later work has studied field of choices using single cohort, partial equilibrium models, incorporating such factors as heterogeneity in earnings and tastes, lifecycle earnings growth, earnings risk, and learning about abilities in college (Blakemore and Low 1984; Berger 1988; Eide and Waehrer 1998; ”
Living Rationally Under The Volcano? An Empirical Analysis Of Heavy Drinking And Smoking (2007, neutral): “This algorithm has been used in similar situations by Arcidiacono (2004) and Arcidiacono (2005).”
Heterogeneity in Human Capital Investments: High School Curriculum, College Major, and Careers. NBER Working Paper No. 17985. (2012, neutral): “116(1):313-350 [4] Arcidiacono P.”
Dynamic Discrete Choice Structural Models: A Survey (2010, neutral): “Sequential EM algorithm (ESM): Arcidiacono and Jones (2003) propose a clever algorithm which makes the two-step partial likelihood approach compatible with the finite mixture model.”