Economic Policy Visualization
Mobility · Colors
November 11, 2024
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?
Illustrations by https://openpeeps.com.
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)
“Did you and your family regularly attend cultural activities (e.g. theatre) when you were ten years old?”
Becker/Tomes (1979), Becker/Tomes (1986):
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.
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.
(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) \[ plim~\widehat{\beta} = \beta \frac{var(y_{ip})}{var(y_{ip}) + var(\omega_{ip})} < \beta \]
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:
You can assign colors by names
[1] "white" "aliceblue" "antiquewhite" "antiquewhite1"
[5] "antiquewhite2" "antiquewhite3" "antiquewhite4" "aquamarine"
[9] "aquamarine1" "aquamarine2" "aquamarine3" "aquamarine4"
Alternatively, you can use hex color codes
Sequential
Use to encode numerical information with order
Diverging
Use to encode numerical information with critical midpoint
Qualitative
Use to encode categorical information
You may check whether the color scale works for people who can distinguish fewer colours than others with {colorBlindness}.
The viridis color scale is discriminable under the most common forms of colour blindness, and reproduces well in greyscale.
scale_color_*
scale_fill_*
Continuous:
Discrete:
PI 0750 Economic Policy (Applied track) | Winter term 2024