## A Monte Carlo Study of Alternative Approaches for Dealing with Randomly Missing DataUniversity of Wisconsin-Madison, Institute for Research on Poverty, 1979 - Multivariate analysis - 38 pages |

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absolute magnitude alternative methods auxiliary regression proxy available observations Based on Complete calculated ceteris paribus CM CM CM o rH complete observations complete overlapping observations correlation coefficient correlation estimate criterion data sets dealing with randomly different subsets Distributions of Discrepancies efficient Griliches incomplete listwise method Maddala maximum likelihood means PMl methods of moments MM4 and MM5 Moments Based moments MM2 Monte Carlo experiment multivariate Number of family number of observations o o o o observations on x Ov Ov Ov rH overall ranking percent missing observations positive definite proportions of missing proxy for missing proxy method PM2 proxy PMl q observations random randomly missing observations randomly missing values ranges of missing regression proxy method relative replaced rH o CM right-hand-side variables sample second smallest smallest absolute difference standard deviations standard statistical packages true correlations true values variance-covariance matrix Variances in Denominator vations Wisconsin