8 · Elasticity vs λ — two dials that people conflate
A recurring confusion: "isn't λ just modelling demand sensitivity?" No — and keeping the two dials apart is what makes the empirical programme honest.
Elasticity lives in the payoffs. How much demand a firm loses when it raises price is a property of consumers, estimated in the demand stage. It reshapes the payoff surface U(p) itself: crossing elasticities change which prices are good ideas at all.
λ lives in the response. Given whatever payoff surface demand implies, λ says how sharply the firm converts payoff differences into choice probabilities. It never changes which price is best; it changes how decisively best is chosen.
In the Lab this is one experiment: change elasticity and the payoff bars themselves move (and with them the QRE); change λ with payoffs frozen and only the sharpness of the distribution moves. Two dials, visibly orthogonal.
Why it matters: when λ is estimated from data, everything mis-specified in the demand stage tries to leak into it ("λ absorbs unmodelled heterogeneity" — stated once, here). That is why the programme leads with the reciprocity test, which is λ-free as a symmetry statement (explainer 7): an asymmetric cross-response cannot be absorbed by any value of a noise parameter. Payoff facts and response facts are separated by construction, and the instruments are built to respect the separation.