This is a great resource for PhD students who wish to learn how to solve and estimate (with GMM/SMM) structural life-cycle models: github.com/vfitoolkit/I...
From simple one-asset models to richer settings with portfolio choice, housing, dual-earner couples, etc.
github.com
GitHub - vfitoolkit/IntroToLifeCycleModels: Gradually build up a life-cycle model
Gradually build up a life-cycle model. Contribute to vfitoolkit/IntroToLifeCycleModels development by creating an account on GitHub.
![Robust Estimation of Private Business Wealth*
Job Market Paper
Simon J. Toussaint†
November 14, 2024
[Most recent version here]
Abstract
Estimating the market value of private businesses is essential for understanding both aggregate firm dynamics and top wealth
inequality, yet these values are inherently unobservable. This paper introduces an econometric approach that treats the gap
between true market values and initial estimates as measurement error. I employ time-series restrictions on these errors as
moment conditions within a GMM framework, and use the fitted values from these estimations as error-free estimates of
private business wealth and capital stocks. Applying this method to Dutch administrative data linking the universe of firms
to their owners, I find that aggregate private business wealth increases by 30% of GDP initially, and is more stable than the
unadjusted series. Top 1% and 0.1% wealth shares increase by 3–5 percentage points, peaking at 38% and 20%, respectively.
Adjusted returns to firm wealth exhibit a steeper gradient across the wealth distribution than unadjusted returns, consistent
with models of return heterogeneity.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:wus4g34bpbzjefp547irpkeu/bafkreibg34g2k7zwmjqytkllrcxfsj5tnov22hdny74qz7ks5jwa5csbou)
