THE inconsistency the labor supply estimates using nonexperimental data has led to the costly income maintenance experiments that have taken place in various parts the country. In addition to being costly, the analyses experimental data also have their share econometric problems. 1 Both experimental and nonexperimental studies face the problems sample selection, model specification and variable measurement. In order to determine what effects the variables of interest have on labor supply, all relevant factors must be included. One these variables, namely health, is often included in a form which results in biased estimates. In this paper, we hope to show that the analysis experimental and nonexperimental labor supply data must carefully address the health variable problem before meaningful estimates can be obtained. In general, three treatments emerge in the literature: no control for health is used, a binary variable which we shall call a variable is included in the model as an exogenous variable, or the disability variable is used as a partitioning criterion to obtain a sample ,able-bodied men or women. The disability variable is often the response to the question, Does your health prevent you from working altogether? or Does your health limit the kind or amount work you could do? This study will examine the bias created by each these approaches and will suggest a method measurement for health which does not produce biased estimates.2 Health and Labor Supply