scholarly journals The Impact of Health on Job Mobility: A Measure of Job Lock

ILR Review ◽  
1998 ◽  
Vol 51 (2) ◽  
pp. 282-298 ◽  
Author(s):  
Kanika Kapur

The author analyzes data from the National Medical Expenditure Survey of 1987 to measure the importance of “job lock”—the reduction in job mobility due to the non-portability of employer-provided health insurance. Refining the approach commonly used by other researchers investigating the same question, the author finds insignificant estimates of job lock; moreover, the confidence intervals of these estimates exclude large levels of job lock. A replication of an influential previous study that used the same data source shows large and significant job lock, as did that study, but when methodological problems are corrected and improved data are used to construct the job lock variables, job lock is found to be small and statistically insignificant.

2010 ◽  
Vol 13 (1) ◽  
Author(s):  
Gary Burtless ◽  
Pavel Svaton

Cash income offers an incomplete picture of the resources available to finance household consumption. Most American families are covered by an insurance plan that pays for some or all of the health care they consume. Only a comparatively small percentage of families pays for the full cost of this insurance out of their cash incomes. As health care has claimed a growing share of consumption, the percentage of care that is financed out of household incomes has declined. Because health care consumption is more important for some groups in the population than others, the growth in spending and changes in the payment system for medical care have reduced the value of standard income measures for assessing relative incomes of the rich and poor and the young and old. More than a seventh of total personal consumption now consists of health care that is purchased with government insurance and employer contributions to employee health plans. This paper combines health care spending and insurance reimbursement data in the Medical Expenditure Panel Study and money income and health coverage data in the Current Population Survey to assess the impact of health insurance on the distribution of income. Our estimates imply that gross money income significantly understates the resources available to finance household purchases. The estimates imply that a more complete measure of resources would show less inequality than the income measures that are currently used. The addition of estimates of the value of health insurance to countable incomes reduces measured inequality in the population and the income gap between young and old. If the analysis were extended over a longer period, it would show a sizeable impact of insurance on inequality trends in the United States.


ILR Review ◽  
1994 ◽  
Vol 48 (1) ◽  
pp. 86 ◽  
Author(s):  
Jonathan Gruber ◽  
Brigitte C. Madrian

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