A General Approach for Estimating Econometric Models with Incomplete Observations

Applied quantitative economics relies heavily on statistical methods to estimate the parameters of its models. In many situations, data is relatively scarce and it is therefore important to use all available observations, even those that are incomplete or for which some pieces of data are missing. The purpose of the present paper is to suggest a general estimation technique that can be applied when there are incomplete observations.