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Higher education institutions and disciplines that traditionally did little research now reward faculty largely based on research, both funded and unfunded. Some worry that faculty devoting more time to research harms teaching and thus harms students' human capital accumulation. The economics literature has largely ignored the reasons for and desirability of this trend. We summarize, review, and extend existing economic theories of higher education to explain why incentives for unfunded research have increased. One theory is that researchers more effectively teach higher order skills and therefore increase student human capital more than non-researchers. In contrast, according to signaling theory, education is not intrinsically productive but only a signal that separates high- and low-ability workers. We extend this theory by hypothesizing that researchers make higher education more costly for low-ability students than do non-research faculty, achieving the separation more efficiently. We describe other theories, including research quality as a proxy for hard-to-measure teaching quality and barriers to entry. Virtually no evidence exists to test these theories or establish their relative magnitudes. Research is needed, particularly to address what employers seek from higher education graduates and to assess the validity of current measures of teaching quality.

Zonder onderwerpscode: economie

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Zonder onderwerpscode: economie

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US Census Bureau poverty measures do not include an explicit need for health care or insurance nor do they consider health insurance benefits to be resources. Consequently, they cannot measure the direct impact of health insurance benefits on poverty. This paper reviews conceptual and practical considerations in incorporating health benefits and needs into poverty measures. We analyze the advantages and disadvantages of various approaches including variants of the Official Poverty Measure (OPM); the Supplemental Poverty Measure (SPM); using a threshold with medical out-of-pocket (MOOP) expenditures; a Medical Care Expenditure Risk (MCER) Index; willingness to pay (WTP) for Medicaid; and the Health-Inclusive Poverty Measure (HIPM; Korenman and Remler 2016). We present estimates of Medicaid's impacts on child poverty, based on the HIPM. This paper was prepared as a background paper for the Committee on Building an Agenda to Reduce the Number of Children in Poverty by Half in 10 Years, of the Board of Children, Youth and Families of the National Academy of Sciences. The paper was submitted in October 2017 and embargoed until the release of the Committee's report, A Roadmap to Reducing Child Poverty, in March of 2019.

Zonder onderwerpscode: economie

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Zonder onderwerpscode: economie