Pre-computed tsme() fit for the NLSY97 intergenerational mobility application

A trimmed `tsme` object from fitting the two-sided measurement error model to the nlsy97 data, as reported in Callaway, Li, Murtazashvili, and Tsyawo (2026). The model uses a Frank copula, Laplace measurement error distribution, and one mixture component for both the outcome (son's log income) and treatment (father's log income) equations. Bootstrap standard errors are based on 200 replications.

Usage

nlsy97_tsme_fit

Format

A list of class tsme with fields documented in tsme. Key fields:

me_cop_param

Estimated Frank copula parameter (ME-corrected)

me_tmat

ME-corrected 4x4 intergenerational transition matrix

me_up_mob

ME-corrected upward mobility by father's income quartile

me_spearman

ME-corrected Spearman rank correlation

me_cond_quant

ME-corrected conditional quantile curves at 10th, 50th, and 90th percentiles across nine values of father's log income

me_qyx

Fitted merr object for the child income equation

me_qtx

Fitted merr object for the father income equation

Source

Derived from the nlsy97 dataset; see that entry for provenance. Model estimated by tsme.

Details

The large intermediate rqs objects (nome_qyx, nome_qtx, qrytx) have been dropped to keep the dataset compact; all fields needed by print(), summary(), and autoplot() are retained.

References

Callaway, B., Li, T., Murtazashvili, I., and Tsyawo, E. S. (2026). Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility. doi:10.48550/arXiv.2107.09235