nep-ias 2016-01-18 papers

on Insurance Economics

Issue of 2016‒01‒18
two papers chosen by
Soumitra K. Mallick
Indian Institute of Social Welfare and Business Management

Computing semiparametric bounds on the expected payments of insurance instruments via column generation By Robert Howley; Robert Storer; Juan Vera; Luis F. Zuluaga
Comparing the Cost of Care Provided to Medicare Beneficiaries Assigned to Primary Care Nurse Practitioners and Physicians By Jennifer Perloff; Catherine M. DesRoches; Peter Buerhaus

Computing semiparametric bounds on the expected payments of insurance instruments via column generation

By:	Robert Howley; Robert Storer; Juan Vera; Luis F. Zuluaga
Abstract:	It has been recently shown that numerical semiparametric bounds on the expected payoff of fi- nancial or actuarial instruments can be computed using semidefinite programming. However, this approach has practical limitations. Here we use column generation, a classical optimization technique, to address these limitations. From column generation, it follows that practical univari- ate semiparametric bounds can be found by solving a series of linear programs. In addition to moment information, the column generation approach allows the inclusion of extra information about the random variable; for instance, unimodality and continuity, as well as the construction of corresponding worst/best-case distributions in a simple way.
Date:	2016–01
URL:	http://d.repec.org/n?u=RePEc:arx:papers:1601.02149&r=ias

Comparing the Cost of Care Provided to Medicare Beneficiaries Assigned to Primary Care Nurse Practitioners and Physicians

By:	Jennifer Perloff; Catherine M. DesRoches; Peter Buerhaus
Abstract:	This study provides new evidence of the lower cost of care for beneficiaries managed by nurse practitioners, as compared to those managed by primary care physicians across inpatient and office-based settings.
Keywords:	Medicare Beneficiaries, Primary Care Nurse Practitioners and Physicians
JEL:	I
Date:	2015–12–27
URL:	http://d.repec.org/n?u=RePEc:mpr:mprres:afadd8863f3c4d24afbea022db0f0b1b&r=ias

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