Xem 1-12 trên 12 kết quả Estimating enrollment
  • ESSAYS ON ENROLLMENT POLICIES IN HIGHER EDUCATION None of the estimates presented in this section supports the hypothesis that effective schools are more likely to attract the best peer groups in markets with fragmented school governance than in those where Tiebout choice is more difficult to exercise.

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  • The IRS will be responsible for enforcing the mandate and collecting fines. By January 31 each year, the agency will receive enrollment information from private insurers and public programs for the previous calendar year; that information will include the name and Social Security number of every person covered by each plan and the dates of coverage. Policyholders will receive similar information from insurers. The exchanges will be required to report to the IRS the name and taxpayer identification number of every person who receives an affordability or hardship exemption.

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  • The Panel for the Workshop on the State Children’s Health Insurance Program wishes to thank the many people who contributed to the development of the workshop and to the preparation of this report. The workshop was sponsored by the Office of the Assistant Secretary for Planning and Evaluation (ASPE) in the U.S. Department of Health and Human Services. Caroline Taplin, of that agency, served as project officer for the workshop.

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  • Education. The adult literacy rate in Afghanistan is estimated to be 36%, while for adult women it is estimated at 21%2 (2001). A significant leap in school enrollment has taken place during the last couple of years, and more than four million children are now in school, one-third of them girls, but this still represents only a little more than half of school-age children and 40% of girls. These figures hide dramatic regional disparities, with girls representing less than 15% of the total enrollment in nine provinces in the east and south.

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  • Under the base enrollment scenario, the ACA is predicted to result in an additional 900,000 individuals enrolling in Medi-Cal by 2014, increasing to 1.2 million by 2019. is includes an estimated 500,000 individuals predicted to be enrolled in county Low-Income Health Programs who will be automatically enrolled in Medi-Cal in 2014.12 Under the enhanced scenario, with a more aggressive enrollment and outreach strategy, additional Medi-Cal enrollment would reach 1.4 million by 2014 and 1.6 million by 2019.

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  • It is diffi cult to estimate the number of adult ESOL students in the United States because many are highly mobile and some are undocu- mented. According to the National Center for ESL Literacy Education, “The most recent statistics from the U.S. Department of Education, Offi ce of Vocational and Adult Education, show that 1,119,589 learners were enrolled in federally funded, state-administered adult ESL classes. This represents 42% of the enrollment in federally funded, state-administered adult education classes” (Florez, personal communication, 2001).

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  • Our base scenario for enrollment in the Exchange is based on the probabilities found in the literature due to changes in cost of coverage for individuals with different incomes, health status, English proficiency, and starting point of coverage. In the enhanced scenario, we assume that language is not a barrier to enrollment, that eligibility and enrollment processes and systems are simplified, and that the state launches a robust outreach and education effort to make individuals aware of their coverage options.

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  • We predict that in 2019, Medi-Cal coverage will increase by 1.2 to 1.6 million (under the base and enhanced scenarios, respectively). Enrollment in Healthy Families will decline slightly as older children under 133 percent FPL will now qualify for Medi-Cal. An estimated 1.8 to 2.1 million will be enrolled in the Exchange with subsidies, while 2.1 to 2.2 million will remain in the non-group market or be enrolled in the Exchange without subsidies.11 Finally, the number of uninsured will decline by 1.8 to 2.7 million people, leaving 3.0 to 4.0 million Californians without coverage.

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  • An estimated 3 to 4 million Californians are predicted to remain uninsured in 2019. Of those, slightly more than 1 million will not be eligible for coverage options under the ACA due to immigration status. Another 800,000 to 1.2 million will be eligible for Medi-Cal or Healthy Families. If and when they seek care, they will have the ability to enroll in coverage. Robust outreach and education can also decrease the number of uninsured who are not aware of coverage opportunities and are therefore less likely to seek care or receive preventive services.

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  • Using the CalSIM model, we predict changes in coverage in California as a result of the ACA. Take up of available coverage options in the model is based on a wide range of factors, including the pre-policy starting point, health status, household income, change in cost to purchase coverage, and English proficiency. For Medi-Cal, we assume that 61 percent of uninsured newly eligible individuals, and 10 percent of those who were previously eligible but not enrolled, enroll under our base scenario. is assumption is based on current Medi-Cal take up in the state.

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  • In that spirit, we approach the costs of reaching the MDGs through two routes. In the first route, we focus exclusively on the first goal, namely, reducing income poverty by half between 1990 and 2015. Inasmuch as income poverty is linked to the other targets, such as infant mortality and primary enrolment, achieving this goal will go some way towards achieving the others. The link is stronger the more the actions to promote growth are associated with those to promote human development. If we estimated the costs by adding the costs of achieving each of the...

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  • Why are the fixed effects estimates higher for those who do not attend top-25 schools? While having wage observations both before and after schooling presents many advantages, it also in- troduces problems associated with the program evaluation literature. 10 In particular, Ashenfelter (1978) documented the dip in earnings which took place before individuals enrolled in job training programs, something which may also occur when individuals go back to school. 11 Such a dip would cause us to over-estimate the return to an MBA in a fixed effects framework.

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