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Simon Toussaint

@simontoussaint.nl
2.8K followers 2.5K following 149 posts

Lecturer, Leiden University | Dynamics of wealth concentration | Macro + (Public) Finance + Econ History | Cellist and Baritone www.simontoussaint.nl

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Simon Toussaint @simontoussaint.nl · 10/04/2026
Ik vind het een sympathiek voorstel maar bij "vrije geesten" kan ik alleen maar aan de "vrije jongens" hieronder denken www.volkskrant.nl/columns-opin...
Koot en Bie als Jacobse en Van Es met de Tegenpartij
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Simon Toussaint @simontoussaint.nl · 12/03/2026
Too late, happy nightmares!
Riemann surface of the upper-incomplete gamma function
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Simon Toussaint @simontoussaint.nl · 16/02/2025
Successfully defended my PhD on the wealth distribution! Many thanks to my supervisors, the committee (@basjacobs.bsky.social, @danielwaldenstrom.bsky.social @cmtneztt.bsky.social et al), my paranymphs and all who attended! My dissertation can be found here: research-portal.uu.nl/en/publicati...
Receiving the PhD
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Simon Toussaint @simontoussaint.nl · 19/11/2024
Good choice! I am personally even more partial to appelbeignets
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Simon Toussaint @simontoussaint.nl · 18/11/2024
I'm a @jmwooldridge.bsky.social stan
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Simon Toussaint @simontoussaint.nl · 17/11/2024
Post a picture you took (no description) to bring some zen to the timeline
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Simon Toussaint @simontoussaint.nl · 14/11/2024
I show that accounting returns are flat or even decreasing in firm size, in contradiction with the theoretical literature. Happily, my adjusted returns do show a steep & positive gradient, consistent with theory 14/
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Simon Toussaint @simontoussaint.nl · 14/11/2024
To recap: aggregate firm wealth is both larger & more stable than book values, and aligns more with underlying economic fundamentals. Top wealth shares also increase strongly: here are the adjusted top 1% shares. They increase by 3-5 pp on average. Top 0.1% also increase by this amount 12/
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Simon Toussaint @simontoussaint.nl · 14/11/2024
Why are yellow and blue so different? Well, There is good reason to believe that book values are fiscally manipulated: after 2013, it became tax-advantageous for firm-owners to reallocate their money towards their firms, which you can see in the plot below My estimates do not suffer from this 11/
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Simon Toussaint @simontoussaint.nl · 14/11/2024
What are the results of all this math? First, aggregate firm wealth increases substantially and is more stable! Yellow = true market value, blue = book value, green = initial estimate, red = capital We see that my procedure is necessary; simply using an initial estimate (green) is insufficient 10/
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Simon Toussaint @simontoussaint.nl · 14/11/2024
I apply my method to the Netherlands, where I can link the universe of incorporated firms to their owners. Private firms matter a lot for top wealth inequality: they are 80% of the top 0.01%'s portfolio! 8/
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Simon Toussaint @simontoussaint.nl · 14/11/2024
Griliches & Hausman formalize this intuition and I use their framework to derive several valid IVs. Since there is only one endogenous variable (the capital stock), we can test overidentifying restrictions. Then, fitted values from this IV/GMM regression will be error-free market values 7/
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Simon Toussaint @simontoussaint.nl · 14/11/2024
Consider a variable x with measurement error ξ. Compare the first-dif estimator to the fixed-effects estimator, and they will be biased like below But this is 2 equations in 2 unknowns (β and variance of ξ)! Intuitively, the differences in bias betw the regs gives identifying information 6/
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Simon Toussaint @simontoussaint.nl · 14/11/2024
What is this regression? Well, in neoclassical investment theory, it is simply the equation for Tobin's q! But this holds more generally: I show that even when firms have markups and/or decreasing returns to scale, firm value is approx linear in their capital stock 4/
In neoclassical models of investment, market value is related to capital viaTobin’s marginal 𝑞, the shadowvalue of an additional
unit of investment. Hayashi (1982) shows that if firms are price takers and face constant returns to scale, marginal 𝑞 and average
𝑄 (the firm’s ratio of market value to capital stock) are the same: Market value is a linear function of capital, or
𝑉_𝑡 = 𝑞𝐾_𝑡 .
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Simon Toussaint @simontoussaint.nl · 14/11/2024
📯 Job Market Paper Alert 📯 Private businesses make up 50% of sales & profits and are the main wealth component of the wealthiest households. So, what is their value? Well, that's difficult, since they're not listed: their value is unobservable by definition! My #EconJMP tackles this problem 1/
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.
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Simon Toussaint @simontoussaint.nl · 07/11/2024
Took me a while to make the jump
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Simon Toussaint @simontoussaint.nl · 03/11/2024
Happy to be in Stockholm, presenting my paper "Robust Estimation of Private Business Wealth" tomorrow at the IFN! #EconSky Very special to catch a Yo-Yo Ma concert this evening, finally seeing him live!
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Simon Toussaint @simontoussaint.nl · 21/03/2024
Happy to be in Paris to present my paper "Top Wealth is Distributed Weibull, not Pareto" at the Paris School of Economics!
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Simon Toussaint @simontoussaint.nl · 29/11/2023
No surprises here
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Simon Toussaint @simontoussaint.nl · 23/11/2023
What are implications for models that use Pareto? One major one is for optimal tax. The Diamond-Saez formula for the optimal top tax rate converges to a constant with Pareto income. With Weibull, that is no longer so (at least if the behavioral elasticity stays constant) 8/
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Simon Toussaint @simontoussaint.nl · 23/11/2023
How can we microfound Gompertz/Weibull? One possibility we like is that on stochastic networks, the length distribution of *Self-Avoiding-Walks* is Gompertz. These are paths that do not visit a node twice, like the game Snake. How to use this? E.g. City size must be bounded by area already used 7/
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Simon Toussaint @simontoussaint.nl · 23/11/2023
Weibull is much more convenient than Pareto because all its moments exist. We can use it to predict mean billionaire wealth for different regions. The table shows 1) Weibull does extremely well; 2) Pareto fails miserably, with infinite and nonsensically large values in majority of cases 6/
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Simon Toussaint @simontoussaint.nl · 23/11/2023
Our alternative is (truncated-)Weibull. If W is Weibull, log W is Gompertz. This distribution has an exponentially increasing (cumulative) hazard. If W is Pareto, in contrast, log W has a linear (cumulative) hazard. Judge for yourself below, data for wealth. 5/
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Simon Toussaint @simontoussaint.nl · 23/11/2023
E[w^k] = k! * α^k; hence, E[w] = α. Substitute back and rescale to obtain our test statistic R_k = E[w^k]/k!*E[w]^k. R_k should equal 1 if W is Pareto; this is our (sharp) test. See the values of R_2 and R_3 for firm size below: Clearly not equal to 1 (same for wealth & city size). 3/
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Simon Toussaint @simontoussaint.nl · 23/11/2023
Hello #EconSky, have I got an exciting new working paper for you! Coen Teulings and I study three distributions (wealth, city and firm size), which are always thought to be distributed Pareto. Bottom line: These distributions are *not* Pareto, but Weibull! A thread 1/
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