Products: Lee, Sang-Hyop
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Brief: Should we increase Hawaii's minimum wage?
A higher minimum wage is unlikely to accomplish the stated goal of raising the living standards of the working poor. And given Hawaii’s highly service oriented economy, the negative impact of an increased minimum wage may have a larger impact than in other states.
Staff Support at UH Manoa: A Comparative Analysis
This study provides a comparative analysis of the staff support at the University of Hawai’i at Mānoa (UHM), its peer group (Peer), and all 4-year public Doctoral/Research-Extensive Universities (DREU).i To evaluate whether UHM is providing too little or too much staff support to students and faculty, we compare the ratio of full-time equivalent (FTE) staff to FTE enrollment and the ratio of FTE staff to FTE faculty across the three groups of schools. In addition to aggregate staff comparisons, we also evaluate specific support staff categories: executive, administrative, and managerial; other professional (support/service); technical and paraprofessional; clerical and secretarial; skilled crafts; and service/maintenance.
State Financing of Research Universities: The Role of State and University Characteristics
This study estimates the effect of underlying determinants on state funding of Doctoral/Research-Extensive Universities (DREU) in the U.S. Using panel data on 98 DREU over the period from 1987 to 2002, we estimate the effect of a variety of DREU and state characteristics while controlling for institutional level unobserved heterogeneity. Unlike previous studies, we focus solely on DREU, so our estimation results are driven by the within variation of DREU, not by the between variation across different types of universities and colleges. We consider determinants not previously studied such as the competitiveness of programs and quality of students, the mix of degree programs and professional schools, the degree of research orientation of a university, the effects of economies of scale (number of students), the cost of providing education services, and other state characteristics. Not surprisingly, we ﬁnd that these variables are important factors determining state funding of DREU. Finally, we provide four case studies to illustrate the use of our model in evaluating the funding position of various universities.
Funding the University of Hawaii at Manoa
The composition of funding at the University of Hawai‘i at Mānoa (UHM) has changed markedly over the past decade. While experiencing tremendous growth in funded research activities, and modest growth in tuition revenues, state appropriations have grown relatively little. As a result, the share of total funding coming from state appropriations has declined significantly. This report extends the work of Lee and Bonham (2006) by providing more detail on the funding of UHM and by comparing UHM to its peer group.
Sang-Hyop Lee, and Carl Bonham, January 17, 2006.
The Effect of Mandatory Employer-Sponsored Insurance (ESI) on Health Insurance Coverage and Labor Force Utilization in Hawaii: Evidence from the Current Population Survey (CPS) 1994-2004
Using data from the Current Population Surveys, we examine the impact of Hawaii’s mandatory employer-sponsored insurance on health insurance coverage and employment structure in Hawaii. We find empirical evidence of three phenomena. First, private employer-sponsored insurance coverage for full-time workers (more than 20 hours per week) is more prevalent in Hawaii, other things held constant, than in other states and the U.S. as a whole. Second, there is avoidance of the employer-mandate in Hawaii by skirting the 20 hour rule, which changes the both the distribution of employment and the distribution of employment-based insurance coverage by hours worked. Third, Hawaii workers who match with part-time jobs without employer-sponsored health insurance obtain publicly provided health insurance or military coverage with higher probability than their counterparts elsewhere in the U.S. These results suggest that employer mandates induce both higher rates of coverage and labor market sorting.