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  • 1
    Book
    Book
    Cambridge, Mass.,
    UID:
    almafu_BV026945420
    Format: 22, [6] S. : , graph. Darst.
    Series Statement: Working paper series / National Bureau of Economic Research 9025
    Language: English
    URL: Volltext  (kostenfrei)
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  • 2
    UID:
    almafu_BV026944956
    Format: 36, [3] S. : , graph. Darst.
    Series Statement: Working paper series / National Bureau of Economic Research 8602
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    UID:
    b3kat_BV023593836
    Format: 39 S. , graph. Darst. , 22 cm
    Series Statement: Working paper series / National Bureau of Economic Research 13951
    Additional Edition: Erscheint auch als Online-Ausgabe
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    almafu_9958085217702883
    Format: 1 online resource: , illustrations (black and white);
    Series Statement: NBER working paper series no. w14885
    Content: We argue that once we take into account the students' rational enrollment decisions, mismatch in the sense that the intended beneficiary of affirmative action admission policies are made worse off could occur only if selective universities possess private information about students' post-enrollment treatment effects. This necessary condition for mismatch provides the basis for a new test. We propose an empirical methodology to test for private information in such a setting. The test is implemented using data from Campus Life and Learning Project (CLL) at Duke. Evidence shows that Duke does possess private information that is a statistically significant predictor of the students' post-enrollment academic performance. We also propose strategies to evaluate more conclusively whether the evidence of Duke private information has generated mismatch.
    Note: April 2009.
    Language: English
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  • 5
    UID:
    almafu_9958058540202883
    Format: 1 online resource: , illustrations (black and white);
    Series Statement: NBER working paper series no. w15729
    Content: The choice of a college major plays a critical role in determining the future earnings of college graduates. Students make their college major decisions in part due to the future earnings streams associated with the different majors. We survey students about what their expected earnings would be both in the major they have chosen and in counterfactual majors. We also elicit students' subjective assessments of their abilities in chosen and counterfactual majors. We estimate a model of college major choice that incorporates these subjective expectations and assessments. We show that both expected earnings and students' abilities in the different majors are important determinants of student's choice of a college major. We also show that students' forecast errors with respect to expected earnings in different majors is potentially important, with our estimates suggesting that 7.5% of students would switch majors if they made no forecast errors.
    Note: February 2010.
    Language: English
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  • 6
    UID:
    almafu_9958083153402883
    Format: 1 online resource: , illustrations (black and white);
    Series Statement: NBER working paper series no. w13951
    Content: In traditional signaling models, education provides a way for individuals to sort themselves by ability. Employers in turn use education to statistically discriminate, paying wages that reflect the average productivity of workers with the same given level of education. In this paper, we provide evidence that education (specifically, attending college) plays a much more direct role in revealing ability to the labor market. We use the NLSY79 to examine returns to ability early in careers; our results suggest that ability is observed nearly perfectly for college graduates but is revealed to the labor market much more gradually for high school graduates. As a result, from very beginning of the career, college graduates are paid in accordance with their own ability, while the wages of high school graduates are initially completely unrelated to their own ability. This view of ability revelation in the labor market has considerable power in explaining racial differences in wages, education, and the returns to ability. In particular, we find no racial differences in wages or returns to ability in the college labor market, but a 6-10 percent wage penalty for blacks (conditional on ability) in the high school market. These results are consistent with the notion that employers use race to statistically discriminate in the high school market but have no need to do so in the college market. That blacks face a wage penalty in the high school but not the college labor market also helps to explains why, conditional on ability, blacks are more likely to earn a college degree, a fact that has been documented in the literature but for which a full explanation has yet to emerge.
    Note: April 2008.
    Language: English
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  • 7
    Online Resource
    Online Resource
    Cambridge, Mass. : National Bureau of Economic Research
    UID:
    almafu_9958120859702883
    Format: 1 online resource: , illustrations (black and white);
    Series Statement: NBER working paper series no. w9025
    Content: Using data on the universe of students who graduated from U.S. medical schools between 1996 and 1998, we examine whether the abilities and specialty preferences of a medical school class affect a student's academic achievement in medical school and his choice of specialty. We mitigate the selection problem by including school-specific fixed effects, and show that this method yields an upper bound on peer effects for our data. We estimate positive peer effects that disappear when school-specific fixed effects are added to control for the endogeneity of a peer group. We find no evidence that peer effects are stronger for blacks, that peer groups are formed along racial lines, or that students with relatively low ability benefit more from their peers than students with relatively high ability. However, we do find some evidence that peer groups form along gender lines.
    Note: June 2002.
    Language: English
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  • 8
    UID:
    almafu_9958068580702883
    Format: 1 online resource: , illustrations (black and white);
    Series Statement: NBER working paper series no. w8602
    Content: This study investigates whether models of forward-looking behavior explain the observed patterns of heavy drinking and smoking of men in late middle age in the Health and Retirement Study better than myopic models. We develop and estimate a sequence of nested models which differ by their degree of forward-looking behavior. We also study models which allow for heterogeneity in discounting, and thus test whether certain types of individuals are more likely to show forward-looking behavior than other types. Our empirical findings suggest that forward-looking models with an annual discount factor of approximately 0.78 fit the data the best. These models also dominate other behavioral models based on out-of-sample predictions using data of men aged 70 and over. Myopic models predict rates of smoking and drinking for old individuals which are significantly larger than those found in the data on elderly men.
    Note: November 2001.
    Language: English
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