01707cam a22002417 4500001000600000003000500006005001700011008004100028100002000069245013900089260006600228490005100294500001500345520070800360530006101068538007201129538003601201700002701237710004201264830008601306856003701392856003601429t0038NBER20180219192326.0180219s1984 mau||||fs|||| 000 0 eng d1 aBloom, David E.10aCorrecting for Truncation Bias Caused by a Latent Truncation Variableh[electronic resource] /cDavid E. Bloom, Mark R. Killingsworth. aCambridge, Mass.bNational Bureau of Economic Researchc1984.1 aNBER technical working paper seriesvno. t0038 aJune 1984.3 aWe discuss estimation of the model Y[sub i] = X[sub i]b[sub y] + e[sub Yi] and T[sub i] =X[sub i]b[sub T] + e[sub Ti] when data on the continuous dependent variable Y and on the independent variables X are observed if the "truncation variable" T > 0 and when T is latent. This case is distinct from both (i) the "censored sample" case, in which Y data are available if T > 0, T is latent and X data are available for all observations, and (ii) the "observed truncation variable" case, in which both Y and X are observed if T > 0 and in which the actual value of T is observed whenever T > O. We derive a maximum-likelihood procedure for estimating this model and discuss identification and estimation. aHardcopy version available to institutional subscribers. aSystem requirements: Adobe [Acrobat] Reader required for PDF files. aMode of access: World Wide Web.1 aKillingsworth, Mark R.2 aNational Bureau of Economic Research. 0aTechnical Working Paper Series (National Bureau of Economic Research)vno. t0038.4 uhttp://www.nber.org/papers/t003841uhttp://dx.doi.org/10.3386/t0038