In Davidson & McKinnon - Estimation and Inference I read that in a competitive market which is always in equilibrium we observe:
$Q^d_t = Q^s_t = Q_t$
where $Q^d_t$ is the quantitiy of demand, $Q^s_t$ the quantitiy supplied.
If one would estimate the equation (1) by OLS in a model given by
(1) $Q_t^d = \alpha P_t + Z^d_t\beta + u^d_t$
(2) $Q_t^s = \gamma P_t + Z^s_t\delta + u^s_t$
with $P_t$ the price in period t, $Z^d_t$ correspods to a bunch of exogenous variables which determine the quantity, we would get a problem caused by the endogenity of $P_t$.
This can be seen if we rewrite the equations (1) and (2) in terms of the observable variables $Q_t$ and $P_t$.
My question is: Is this true in general should accounted for if one does a regression with real market data?