Mitnik, Pablo. 2019.
“Estimating the Intergenerational Elasticity of Expected Income with Short-Run
Income Measures: A Generalized Error-in-Variables Model.” Stanford Center on Poverty and Inequality
Working Paper.

**Abstract**

It
has recently been argued that the intergenerational income elasticity (IGE)
ubiquitously estimated in the economic mobility literature should be replaced
by the IGE of expected income. This article derives an approximate closed-form
expression for the probability limit of the Poisson Pseudo-Maximum Likelihood
(PPML) estimator of constant elasticities and uses it to advance a generalized
error-in-variables model for the estimation of the latter IGE with short-run
income measures. Empirical analyses with data from the Panel Study of Income
Dynamics offer clear support for the account of lifecycle and attenuation biases the model provides. Together, the model and the
associated empirical evidence supply a methodological justification for the
estimation of the IGE of the expectation with the PPML estimator and proxy
income variables that satisfy some conditions. This eliminates the main
obstacle for making this IGE the workhorse elasticity of the economic mobility
field, which would (a) dissolve the selection-bias problem generated by the
current expedient of dropping children with zero income from samples in order
to make estimation of the conventional IGE possible, and (b) greatly stimulate
the study of gender and marriage dynamics in intergenerational processes,
something that the reliance on the conventionally estimated IGE essentially
precludes.