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The University of Michigan T 734-936-9842
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POLICY IMPLICATIONS The paper suggests that distortions to the labor market through what is known as "job lock" and "job push" are not substantial. The paper implies that if people could move between jobs independent of health insurance considerations, the labor market would not be substantially more efficient. Insurance market reforms would make the labor market only marginally more efficient. CAVEATS The paper relies heavily on the assumption that the health effects of insurance are sufficient to meaningfully reduce the rate of adverse health shocks that result in job separations. It is difficult to verify that the phenomenon captured by this parameter is truly a health-related productivity effect as opposed to a preference effect that is more in the spirit of the earlier job lock literature. That said, the key identifying assumption of the model, which is that individuals at jobs not covered by health insurance are more likely to exit the job spell into unemployment is not imposed in the estimation of the model, but is overwhelmingly substantiated by the raw transition data and model parameter estimates. What "locks" workers is described differently elsewhere in the "job lock" literature than in the Dey-Flinn approach. "Lock" is usually described as something that arises from a wedge between how a worker values coverage from a current job compared to a prospective job. Pre-existing conditions have been cited as a source of such a wedge. A worker (or dependent) has coverage for a condition with the current employer but would be subject to a "pre-existing condition" exclusion if the worker changed jobs (a result that is less likely after the enactment of the Health Insurance Portability and Accountability Act of 1996.) The cost of covering an individual would presumably be the same in both jobs. By contrast, the Dey-Flinn model looks to differences in cost between firms for the same health insurance coverage as the source of "lock" and "push." The model makes assumptions about the distribution of worker productivity and errors (both log normal), and the division of surplus between workers and employers. It is not possible to formally test these assumptions, though the predicted wage distributions are not seriously at odds with their sample counterparts. The estimation is done with a sample restricted to adult white males with at least a high school education, and the generalizability is limited to that sample. DATA SOURCE METHODOLOGY Empirical implementation: Simulated maximum likelihood estimation with 1000 repetitions of the simulation. Alternative specifications of the model (no heterogeneity, firm heterogeneity, and both firm and worker heterogeneity, firm and worker heterogeneity with worker heterogeneity.) CITATION Conference paper presented at ERIU Research Conference, July 2003 The final version of this paper appeared in Econometrica 73 (March 2005): 571-627 ERIU Working Paper #19 (Adobe PDF) Funded by The Robert Wood Johnson Foundation, ERIU is a five-year program shedding new light on the causes and consequences of lack of coverage, and the crucial role that health insurance plays in shaping the U.S. labor market. The Foundation does not endorse the findings of this or other independent research projects. |