Intergenerational Mobility in the Presence of Informal Labor Markets

Cesana (2025) – Discussion

Luís Teles Morais

Nova School of Business and Economics


4th NSE PhD and Post-Doc Workshop
University of Naples Federico II, 23 September 2025

Summary

Important question

  • Does labor informality reduce intergenerational mobility via parental income risk?

Why it matters

  • Big in developing economies – but not only (Portugal, Italy)!
  • Role of parents in creating opportunities for development pre-transition to the labor market important

Contribution

  • Link between informality & uncertainty very intuitive
  • Very good data and data work – rigorous empirical confirmation
  • Clear, relevant mechanism quantified with model

Comment #1: What is “uncertainty”?

Key result: higher residual variance in informal earnings (0.44 vs. 0.32)

  • Uninsured risk \(\Rightarrow\) \(\uparrow\) Precautionary saving \(\Rightarrow\) \(\downarrow\) investment

What can residuals reflect?

  • Unexplained dispersion may also reflect heterogeneity, hours, measurement error
  • Pandemic years spike in variance

How do we know earnings risk is not compensated?

  • Informal work may to some extent also reflect preferences of workers
  • May give rise to higher eqbm \(W\) rate (cond on skill) and workers may be aware

Comment #2: Alternative stories

Main idea:

  • Parental background → child informality only for “followers”
  • Slopes ≈0.6–0.8 vs. ≈0 for non-followers

Alternative channels

  • Could networks, beliefs, generally information matter too/more?
  • Current model: informality assignment exogenous \(\rightarrow\) scope for model extension?
  • Could risk channel be somewhat overstated in model?

Potential tests

  • Let job access depend on parental occupation networks
  • Estimate separately for followers vs. non-followers
  • Within occupation-year: does parental variance still matter?

Other comments

  • Decision unit = household → mothers’ risk may matter
  • Magnitude: risk equalization effects modest (2–3%)
  • Sensitivity: γ, α, β_j parameters
  • Attrition/recall in lifetime informality → balanced panels
  • Could try excluding 2019–20 waves?
  • Is data deep enough to use siblings: higher pre-school variance → lower education?

Takeaway

  • Strong contribution: new link between informality, risk & mobility
  • Empirical facts well documented, model clear
  • But “uncertainty” vs. heterogeneity, and networks vs. prudence, need separation
  • Informality super relevant, present everywhere. But maybe this framework could be extended to other forms of sorting?

Thank you

Reach out: luistelesm.github.io | luis.teles.m@novasbe.pt