Martin Hackmann is an Assistant Professor of Economics at the University of California Los Angeles, a faculty research fellow at the National Bureau of Economic Research, a CESifo research network member, and a faculty affiliate of the California Center for Population Research at UCLA. Professor Hackmann’s research specializes in topics in industrial organization and health economics.
Professor Hackmann holds a Ph.D. in Economics from Yale University and a Diplom (Master equivalent) in Economics from the University of Mannheim.
“Incentivizing Better Quality of Care: The Role of Medicaid and Competition in The Nursing Home Industry” (Latest Version: December 2016) [PDF] Revise and Resubmit, American Economic Review (2nd round)
This paper develops a model of the nursing home industry to investigate the quality effects of policies that either raise regulated reimbursement rates or increase local competition. Using data from Pennsylvania, I estimate the parameters of the model. The findings indicate that nursing homes increase the quality of care, measured by the number of skilled nurses, by 8.2% following a universal 10% increase in Medicaid reimbursement rates. I find an annual welfare gain of $68 million, 30% of additional Medicaid spending. In contrast, I find that pro-competitive policies lead to only small increases in staffing ratios.
“The Returns to Nursing: Evidence from a Parental Leave Program”, joint with Benjamin Friedrich (Latest Version: February 2017) [NBER Working Paper 23174]
Nurses comprise the largest health profession. In this paper, we measure the effect of nurses on health care delivery and patient health outcomes across sectors. Our empirical strategy takes advantage of a parental leave program, which led to a sudden, unintended, and persistent 12% reduction in nurse employment. Our findings indicate detrimental effects on hospital care delivery as indicated by an increase in 30-day readmission rates and a distortion of technology utilization. The effects for nursing home care are more drastic. We estimate a persistent 13% increase in nursing home mortality among the elderly aged 85 and older. Our results also highlight an unintended negative consequence of parental leave programs borne by providers and patients.
“Patient vs. Provider Incentives and Overspending in Long Term Care”, joint with Vincent Pohl (draft coming soon)
“Medicaid and Financial Health”, joint with Kenneth Brevoort and Daniel Grodzicki (draft coming soon)
Publications and Forthcoming Papers
“Adverse Selection and an Individual Mandate: When Theory Meets Practice” (with Amanda E. Kowalski and Jonathan T. Kolstad). American Economic Review, March 2015. Vol. 105, No.3: 1030-66 (NBER Working Paper 19149). [Latest pre-publication version [PDF]]
We develop a model of selection that incorporates a key element of recent health reforms: an individual mandate. Using data from Massachusetts, we estimate the parameters of the model. In the individual market for health insurance, we find that premiums and average costs decreased significantly in response to the individual mandate. We find an annual welfare gain of 4.1% per person or $51.1 million annually in Massachusetts as a result of the reduction in adverse selection. We also find smaller post-reform markups.
“Health Reform, Health Insurance, and Selection: Estimating Selection into Health Insurance Using the Massachusetts Health Reform” (with Amanda E. Kowalski and Jonathan T. Kolstad). American Economic Review: Papers & Proceedings, May 2012, Vol. 102, No.3: 498-501. [PDF]
We implement an empirical test for selection into health insurance using changes in coverage induced by the introduction of mandated health insurance in Massachusetts. Our test examines changes in the cost of the newly insured relative to those who were insured prior to the reform. We find that counties with larger increases in insurance coverage over the reform period face the smallest increase in average hospital costs for the insured population, consistent with adverse selection into insurance before the reform. Additional results, incorporating cross-state variation and data on health measures, provide further evidence for adverse selection.