UDIFF: Stata module to estimate the generalized unidiff model for individual-level data

Jann, Ben; Seiler, Simon (2019). UDIFF: Stata module to estimate the generalized unidiff model for individual-level data. [Software & Other Digital Items]

Archive udiff.zip - Published Version Available under License BORIS Standard License. Download (19kB)

udiff estimates parameters of the so-called unidiff model (Erikson and Goldthorpe 1992: The Constant Flux. Oxford University Press), also known as the log-multiplicative layer effect model (Xie 1992: The Log-Multiplicative Layer Effect Model for Comparing Mobility Tables. American Sociological Review 57: 380–395), which is often used to study differences in intergenerational class mobility between birth cohorts or countries. The original unidiff model has been expressed as a log-linear model of cell frequencies in a three-way contingency table (origin by destination by cohort or country). The model, however, can also be expressed at the individual-level (similar to a multinomial logit model). udiff estimates such a re-expressed unidiff model for individual-level data. Furthermore, it generalizes the model to allow for multiple layers and non-categorical predictors. For an implementation of the classic log-linear unidiff model for aggregate data see Pisati (2000: sg142: Uniform layer effect models for the analysis of differences in two-way associations. Stata Technical Bulletin 55: 33-47).

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