Instrumental variables (IV) estimation of a demand equation using time series data is shown to produce a weighted average derivative of heterogeneous potential demand functions. This result adapts recent work on the causal interpretation of two-stage least squares estimates to the simultaneous...

Instrumental variables (IV) estimation of a demand equation using time series data is shown to produce a weighted average derivative of heterogeneous potential demand functions. This result adapts recent work on the causal interpretation of two-stage least squares estimates to the simultaneous...

When a supply and demand model is recursive, with errors uncorrelated across the two equations, ordinary least square (OLS) is the recommended estimation procedure. Supply to a daily fish market is determined by the previous night`s catch, so this would appear to be a good example of a recursive...