DSAN 5450: Data Ethics and Policy
Spring 2026, Georgetown University
Wednesday, April 8, 2026
| Start | End | Topic | |
|---|---|---|---|
| Lecture | 3:30pm | 4:00pm | Utility Functions and the Edgeworth Box |
| 4:00pm | 4:30pm | Policy Intervention : Data Property Rights | |
| 4:30pm | 5:00pm | Policy Intervention : “Internalizing” Externalities | |
| Break! | 5:00pm | 5:10pm | |
| 5:10pm | 6:00pm | (Machine) Learning What Policies Value \(\leadsto\) HW4 |
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(Remember for projects: Econ antecedent = already-solved political problem!)
…We need to dive a bit more to get to:
Policy Intervention :
Property Rights

Policy Intervention :
Yugoslavia-Style Mergers

From Ryan Safner’s History of Economic Thought: Welfare Economics
Rotate Greenie’s box 180° and superimpose onto Bluey’s:
[Antecedents (Coase Conditions)] \(\Rightarrow\) «markets produce Pareto-optimal outcomes»
(Foundation for “Neoclassical” paradigm)


Rhodesia has a freer press, a more democratic form of government, a greater sympathy with Western ideals than most if not all of the states of Black Africa. Yet we play straight into the hands of our Communist enemies by imposing sanctions on it! (Friedman 1976)
Consequent only true if antecedents hold! Otherwise, proper answer becomes “It depends! Let’s see if data can help us find out!” (Will minimum wage hurt/help blah blah blah… “It depends! Tell me the details!”) (Will new condos blah blah blah yimby nimby…) (Will re-allocating welfare budget from \(X\) to \(Y\) blah blah blah… 👀 HW4)
[Economic inequality] is a social law, something in the nature of man. (Pareto 1896)
We’ve got a [thing] made by men, isn’t that something we should be able to change? (Steinbeck 1939)
Coase Antecedents \(\approx\) equalized power!
\(\neg\)(Coase Antecedents) \(\Rightarrow\) Unequal Power… Puts us in realm of Descriptive Ethics!
[What is] right, as the world goes, is only in question between equals in power; otherwise, the strong do as they please and the weak suffer what they must. [Thucydides (2013); c. 411 BC] (Think of necessary vs. sufficient conditions!)
Think of how Gauss-Markov Assumptions \(\Rightarrow\) OLS is BLUE, but DSAN 5300 = what to do when G-M Assumptions don’t hold
Final project brainstorming protip! Think through:
Our violation (HW3B): Data externalities!
Case : Society decides Right to Clean Air \(\prec\) Right to Smoke \(\Rightarrow\) Start at \(E\)
Case Society decides Smoke \(\prec\) Clean Air \(\Rightarrow\) Repeat for \(E' \leadsto X'\)
Last reminder: Externalities \(\Leftrightarrow\) I get reward, others pay costs 🥳
\[ s^*_{\text{Priv}}, x^*_{\text{Priv}} = \argmax_{s,\small\boxed{x}}\left[ p_s s - c_s(s, x) \right] \]
\[ f^*_{\text{Priv}} = \argmax_{f}\left[ p_f f - c_f(f, x) \right] \]
\[ s^*_{\text{Yugo}}, f^*_{\text{Yugo}}, x^*_{\text{Yugo}} = \argmax_{s, f, x}\left[ p_s s + p_f f - c_s(s, x) - c_f(f, x) \right] \]
DSAN 5450 Week 12: (Machine) Learning What Policies Value