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Results of search for LAD follow:

LAD: Stands for 'Least absolute deviations' estimation.

LAD estimation can be used to estimate a smooth conditional median function; that is, an estimator for the median of the process given the data. Say the data are stationary {xt, yt}. The dependent variable is y and the independent variable is x.The criterion function to be minimized in LAD estimation for each observation t is:
q(xt,yt,q) = |yt=m(xt,q)|

where m() is a guess at the conditional median function.

Under conditions specified in Wooldridge, p 2657, the LAD estimator here is Fisher-consistent for parameters of the estimator of the median function.

Source: Wooldridge 1995, p 2657
Contexts: econometrics


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