Feedback, Behaviour and Disturbances
The state-space representation, why behaviour cannot be treated as fixed, and why policy needs to be robust to disturbances it cannot control.
Feedback, behaviour and disturbances
At the highest level, the system is represented as
where x_t is the socio-economic state, u_t is the vector of policy
interventions (fiscal, monetary, macroprudential, regulatory), w_t is
external disturbance the government does not control (energy and commodity
shocks, geopolitics, pandemics, technology, climate, demographics), and
θ_t captures behavioural and institutional structure. Almost all of the
genuine difficulty is inside f(·); making that explicit is a large part
of the point.
Two consequences follow directly:
-
People are not fixed transfer functions. Raising an income-tax rate does not mechanically raise
τ × Y, because taxable income itself responds to the tax system:R(τ) = τ · Y_taxable(τ). Households and firms adjust labour supply, incorporation, investment location, saving and consumption in response to policy — differently across the population, not uniformly. -
Because
w_tis not chosen by government, policy needs to be robust, not merely optimal under expected conditions. A policy tuned to perform well in a specific forecast can perform badly once an energy shock, financial crisis or pandemic moves the system somewhere the forecast did not anticipate. Designing for a range of plausible disturbances, rather than a point forecast, is treated as a first-class requirement rather than a refinement to add later.
The remainder of this specification is largely about designing sensible
forms for u_t (the policy controllers) against a f(·) that is
explicitly heterogeneous, credit-endogenous and behaviourally responsive —
and about measuring x_t well enough to know whether u_t is working.