The economics of inequality

Intergenerational Mobility

Dr. Matthias Schnetzer

November 18, 2022

Recap

  • What is the definition of net wealth?
  • What data do we have to analyze the distribution of household wealth?
  • Which methods are commonly used to adjust for the non-response bias?
  • What are the differences between wealth inequality and income inequality?

Discuss with your neighbour

How would you describe the state of intergenerational social mobility in your country?

Which channels do you know where parents exert influence on the socio-economic outcomes of children?

Selected channels of intergenerational persistence

  • Children of well-off families attend better educational institutions, which results in higher incomes later on.
  • Family background shapes individual labor market-related characteristics (Habitus, social and cultural capital, health, etc.)
  • Children of poorer families face higher opportunity costs at their job search and tend to accept the first job opportunity
  • Social networks of the well-off facilitate job search substantially

Glass ceiling

That room [at the top] rarely opens up because those mediocrities are too well-screened by parents who hire private tutors, buy cultural enrichment, teach etiquette, set expectations, stand as personal examples of success, coach interview technique, navigate any bureaucratic maze put before them, set up home in nice areas, arrange internships via friends and, just to rub in their supremacy, make direct gifts of cash and assets. To fail under these conditions is a kind of achievement in itself.

Janan Ganesh
Financial Times (December 9, 2016)

Traditional theory

Becker/Tomes (1979), Becker/Tomes (1986):

  • Optimization problem for parental investments into the human capital of descendants (utility of parents is maximized)
  • Stochastic term for “birth lottery” (genetic abilities, talents): Nature versus Nurture
  • Parental utility does not only depend on the life-cycle income of the descendant, but there is dynastic utility

Response by Daly (1982): Provision of descendants in future generations is a public good, since the future offspring may potentially descend from all other members in a society.

Objection by Mani et al. (2013): Rational parental behaviour is limited by income and wealth, since poverty impedes cognitive abilities of adults and hinders rational investment decisions in childern.

Measurement of intergenerational mobility

Intergenerational earnings elasticity: \(\beta\) \[log~y_{ic} = \alpha + \beta~y_{ip} + \varepsilon_{ic}\] Intergenerational earnings correlation: \(\rho\) \[\rho = \beta~\frac{\sigma_p}{\sigma_c}\] with \(\sigma\) being the standard deviation.

Life cycle vs. current income

(Measurable) current income corresponds to life cycle income plus random transitory deviations \[ y_{ic}^* = y_{ic} + \omega_{ic} \\ y_{ip}^* = y_{ip} + \omega_{ip} \]

Intergenerational elasticity is calculated with current income records

\[ plim~\widehat{\beta} = \frac{cov(y_{ip}^*, y_{ic}^*)}{var(y_{ip}^*)} = \\ = \frac{\beta\left[var(y_{ip}) + cov(y_{ip}, \omega_{ip})\right] + cov(y_{ic}, \omega_{ic})/\beta + cov(\omega_{ic}, \omega_{ip})}{var(y_{ip}) + 2 \cdot cov(y_{ip}, \omega_{ip}) + var(\omega_{ip})} \]

Consequently there is an attenuation bias (downward bias) \[ plim~\widehat{\beta} = \beta \frac{var(y_{ip})}{var(y_{ip}) + var(\omega_{ip})} < \beta \]

Transition matrices

A transition matrix captures the probabilities of switches \(p_{ij}\) from status \(i\) to \(j\).

\[ P = \left[ {\begin{array}{cccc} p_{11} & p_{12} & \cdots & p_{1n}\\ p_{21} & p_{22} & \cdots & p_{2n}\\ \vdots & \vdots & \ddots & \vdots\\ p_{m1} & p_{m2} & \cdots & p_{mn}\\ \end{array} } \right] \]

There are various indices to compare transition matrices:

  • Prais-Index: \(M(P) = \frac{n - trace(P)}{n-1}\) where \(M(P) \in [0,1]\)
  • Absolute Average Jump (AAJ): \(\Omega = \frac{\sum_{i=1}^{n}|rank_{ic} - rank_{ip}|}{n}\)

Great Gatsby curve

🇦🇹

Intergenerational persistence in Austria

Financial situation of parental household at the age of 14 was… 45-59 year-old respondents today earn … than the average individual in this age class
…very bad 19% less
…bad 9% less
…good 15% more
…very good 21% more

Income in % of average net income by financial situation in parental household
Source: EU-SILC 2011, own calculation


Parental edu. ↓ Compulsory Apprenticeship Higher secondary Tertiary
Compulsory 32.6 46.1 14.4 6.9
Apprenticeship 7.5 59.3 17.3 15.9
Higher secondary 6.0 18.6 41.9 33.6
Tertiary 3.6 15.6 23.5 57.3

Educational attainment of children with respect to parental educational level (25-44 year-old)
Source: Statistik Austria, Bildung in Zahlen 2020/21

Alternative figure of educational mobility

Decreasing absolute mobility in the US

Multigenerational persistence

Long-term social persistence

  • 🇬🇧 Clark/Cummins (2015): Richest british families around 1850 still own four times the average family wealth in 2012 (= 5 generations later)
  • 🇮🇹 Barone/Mocetti (2020): Families with highest income in Florence in 1427 still are at the top of the income distribution in 2011 (= 6 centuries later)
  • 🇩🇪 Braun/Stuhler (2017): Social status in Germany also depends from the great-grandparents.
    (= 4 generations later)

Cultural capital and wealth

Projections of inheritances in Austria

Potential revenues of an inheritance tax

  • Wealth data from HFCS
  • Mortality tables by age, gender and education by IIASA for next 50 years
  • Simulation of deceases
  • Inheritance when all household members of a generation have died
Tax rate Exemption (m€) CI Inheritance cases Inheritances (m€) Tax cases Tax revenues (m€)
15% 0.5 P05 39,197 10,079 1,627 338
15% 0.5 P50 40,225 11,894 2,081 620
15% 0.5 P95 41,583 14,262 2,422 933
25% 1.0 P05 39,197 10,079 700 257
25% 1.0 P50 40,225 11,894 972 670
25% 1.0 P95 41,583 14,262 1,276 1.191

The table shows the median and a confidence interval (P5 and P95) of a projection based on 100 simulations.

Inheritance taxes in Europe

Evolution of inheritance tax rates, 1900-2017

Bibliography

Barone, Guglielmo/Mocetti, Sauro (2020). Intergenerational mobility in the very long run: Florence 1427-2011. The Review of Economic Studies, 88(4), 1863–1891. DOI: 10.1093/restud/rdaa075
Becker, Gary/Tomes, Nigel (1979). An equilibrium theory of the distribution of income and intergenerational mobility. The Journal of Political Economy, 87(6), 1153–1189.
Becker, Gary/Tomes, Nigel (1986). Human capital and the rise and fall of families. Journal of Labor Economics, 4(3), S1–S39.
Braun, Sebastian Till/Stuhler, Jan (2017). The transmission of inequality across multiple generations: Testing recent theories with evidence from germany. The Economic Journal, 128(609), 576–611. DOI: 10.1111/ecoj.12453
Chancel, Lucas/Piketty, Thomas/Saez, Emmanuel/Zucman, Gabriel (2018). World inequality report 2018. World Inequality Lab.
Chetty, Raj/Grusky, David/Hell, Maximilian/Hendren, Nathaniel/Manduca, Robert/Narang, Jimmy (2017). The fading american dream: Trends in absolute income mobility since 1940. Science, 356(6336), 398–406. DOI: 10.1126/science.aal4617
Clark, Gregory/Cummins, Neil (2015). Intergenerational wealth mobility in england, 1858–2012: Surnames and social mobility. The Economic Journal, 125(582), 61–85. DOI: 10.1111/ecoj.12165
Corak, Miles (2013). Income inequality, equality of opportunity, and intergenerational mobility. Journal of Economic Perspectives, 27(3), 79–102. DOI: 10.1257/jep.27.3.79
Daly, Herman E. (1982). Chicago school individualism versus sexual reproduction: A critique of becker and tomes. Journal of Economic Issues, 16(1), 307–312.
Franzini, Maurizio/Raitano, Michele (2009). Persistence of inequality in europe: The role of family economic conditions. International Review of Applied Economics, 23(3), 345–366. DOI: 10.1080/02692170902811777
Humer, Stefan (2014). Aufkommen von erbschaftssteuern – modellrechnung exemplarischer tarife. Wirtschaft Und Gesellschaft, 40(1), 151–159.
Mani, Anandi/Mullainathan, Sendhil/Shafir, Eldar/Zhao, Jiaying (2013). Poverty impedes cognitive function. Science, 341(6149), 976–980. DOI: 10.1126/science.1238041
Neidhöfer, Guido/Stockhausen, Maximilian (2018). Dynastic inequality compared: Multigenerational mobility in the united states, the united kingdom, and germany. Review of Income and Wealth, 65(2), 383–414. DOI: 10.1111/roiw.12364