
By Glenn D. Rudebusch
Examines an econometric specification of the disequilibrium version that includes non-stochastic information regarding marketplace extra call for. This disequilibrium specification may be simply predicted with a variety of fascinating structural positive factors together with dynamical parts, an endogenous rate, and a number of markets. This specification is illustrated via the estimation of a single-market and a multimarket macroeconomic disequilibrium version.
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Example text
For the United States, vacancy data exist only for certain regions or during specific years (see Abraham (1983) for a review of existing data). Instead, the series collected by the Conference Board on help-wanted advertising will be considered. This series is a weighted average index of the number of help-wanted advertisements placed in the leading newspapers of 52 cities. ) Two other indicators of excess demand are based on the data that were collected on labor turnover in the manufacturing sector.
As should be clear from our earlier discussion, computational feasibility and structural misspecification are also important considerations. 2 considers these trade-offs as they are represented in the various disequilibrium specifications. atio Test of the Exact Indicator In any econometric specification, there are far more assumptions, for example, structural linearity and stochastic error normality, than can reasonably be tested. Here we focus our examination on one assumption: the non-stochastic nature of the equation that indicates excess demand.
The errors for the non-stochastic indicator model are assumed to be distributed normally with a diagonal variance-covariance matrix for analytical simp1icity:l 2 0' (0 1 0 ) ~ . 2 The joint density of the * takes on two different forms depending on the prevailing two observab1es, h(Qt,Zt)' rationing regime in the market. excess supply, when Qt = Dt • Qt = Dt Zt* = * be the joint density during periods of Let hd(Qt,Zt) This is obtained from the equations, ,. 1. In order to nest the non-stochastic excess demand model and provide for a likelihood ratio test, ~S is also assumed to be diagonal.