Listing 1 - 6 of 6 |
Sort by
|
Choose an application
Mass (Canon law) --- Mass stipends --- History --- 348.412.3 --- #gsdb7 --- Canoniek zakenrecht: eucharistie--(canon 801-869) --- Theses --- 348.412.3 Canoniek zakenrecht: eucharistie--(canon 801-869) --- Stipends, Mass --- Canon law --- Fees, Ecclesiastical --- Mass --- Mass stipends - History
Choose an application
Sacraments --- History
Choose an application
The Texas 10% law states that students who graduated among the top 10% of their high school class are guaranteed admission to public universities in Texas. We estimate the causal effects of this admissions guarantee on a sequence of connected decisions: students' application behavior, admission decisions by the university, students' enrollment choices conditional on admission; as well as the resulting college achievement. We identify these effects by comparing students just above and just below the top 10% rank cutoff. While this design is in the spirit of a regression discontinuity, we note important differences in approach and interpretation. We find that students react to incentives created by the admissions guarantee - for example, by reducing applications to competing private universities. The results also suggest that the effects of the admissions guarantee depend on the university and the type of students it attracts, and that the law is binding and alters the decisions of the admissions committees. We find little evidence that the law increases diversity or leads to meaningful mismatch for the marginal student admitted.
Choose an application
A positive correlation between insurance coverage and ex post risk can be an indicator for private information in insurance markets. However, this test fails if agents have heterogeneous risk attitudes. We propose a new test that conditions on unobserved types of individuals who differ in their risks preferences. This makes it possible to detect asymmetric information without direct evidence of private information - even if agents have heterogeneous risk attitudes. We apply our technique to the market for long-term care insurance. Finkelstein and McGarry (2006) provide direct evidence for the existence of private information in this market. At the same time they fail to find a positive correlation between insurance coverage and ex post risk. Our method indicates the existence of private information, without using direct evidence of private information. Our methodology is applicable to other insurance markets and markets where proxies for private information are not available.
Choose an application
The Texas 10% law states that students who graduated among the top 10% of their high school class are guaranteed admission to public universities in Texas. We estimate the causal effects of this admissions guarantee on a sequence of connected decisions: students' application behavior, admission decisions by the university, students' enrollment choices conditional on admission; as well as the resulting college achievement. We identify these effects by comparing students just above and just below the top 10% rank cutoff. While this design is in the spirit of a regression discontinuity, we note important differences in approach and interpretation. We find that students react to incentives created by the admissions guarantee - for example, by reducing applications to competing private universities. The results also suggest that the effects of the admissions guarantee depend on the university and the type of students it attracts, and that the law is binding and alters the decisions of the admissions committees. We find little evidence that the law increases diversity or leads to meaningful mismatch for the marginal student admitted.
Choose an application
A positive correlation between insurance coverage and ex post risk can be an indicator for private information in insurance markets. However, this test fails if agents have heterogeneous risk attitudes. We propose a new test that conditions on unobserved types of individuals who differ in their risks preferences. This makes it possible to detect asymmetric information without direct evidence of private information - even if agents have heterogeneous risk attitudes. We apply our technique to the market for long-term care insurance. Finkelstein and McGarry (2006) provide direct evidence for the existence of private information in this market. At the same time they fail to find a positive correlation between insurance coverage and ex post risk. Our method indicates the existence of private information, without using direct evidence of private information. Our methodology is applicable to other insurance markets and markets where proxies for private information are not available.
Listing 1 - 6 of 6 |
Sort by
|