Calibrating longitudinal models of residential mobility and migration:  an assessment of a non-parametric marginal likelihood approach.
"This paper discusses the problems of controlling for omitted variables in estimating the structural parameters of longitudinal models and focuses upon an assessment of a non-parametric marginal maximum likelihood approach suggested by the results of Laird.... The approach is shown to be statistically valid for a plausible discrete-time model of the incidence of residential or migration moves, at least for data in which no household moves in every time period.  Empirical evaluation with two large [U.S.] datasets on residential mobility indicates that the approach is also computationally feasible and provides a promising alternative to more conventional methods for controlling for omitted variables."
D000569:Americas; D003710:Demography; D019049:Developed Countries; D003906:Developing Countries; D004641:Emigration and Immigration; D005843:Geography; D008137:Longitudinal Studies; D008962:Models, Theoretical; D009656:North America; D011153:Population; D011157:Population Dynamics; D012106:Research; D012111:Residence Characteristics; D014481:United States
Americas; Demographic Factors; Developed Countries; Developing Countries; Geographic Factors; Longitudinal Studies; Mathematical Model; Migration; Migration, Internal; Models, Theoretical; North America; Northern America; Population; Population Dynamics; Research Methodology; Residence Characteristics; Residential Mobility; Spatial Distribution; Studies; United States