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Abstract

In the previous chapters we questioned the conventional assumption that observed transactions generally belong to demand and supply schedules. Other authors have expressed similar doubts in recent years,1 but the number of empirical studies dealing with disequilibrium transactions explicitly is still relatively small. All the studies of others we know of2 are based on the minimum—trade assumption, implying that observations belong either to the demand or the supply schedule. In this view, transactions are completely determined by demand factors in some periods, and completely by supply factors in others. Time—series regressions of transactions on these factors have to switch from one set of factors to the other from time to time. Usually, the statistical information about the adequate regime is deficient, and some criterion has to be developed for the pooling of observations. The most elementary pooling criterion is the maximum likelihood to be attained by alternative classifications of observations. Somewhat more advanced techniques take other information into account. The use of the direction of the price change as an indicator of excess demand or excess supply in the pioneering study of Fair and Jaffee (1972) on the mortgage market is an example of the use of extra information. The principle of the exploitation of additional information seems to deserve support, but the integration of this information in the description of market—phenomena is deficient in the present case. The integrated treatment of price changes in Rosen and Quandt (1977) is more satisfactory.

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Notes to Chapter 3

  1. Cf. e.g. Gregory (1971) and Shubik (1975).

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  2. Cf. Quandt (1970), Fair and Jaffee (1972), Amemiya (1974), Fair and Kelejian (1974), Goldfeld and Quandt (1973) and (1974), Maddala and Nelson (1974), Rosen and Quandt (1977).

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  3. The last assumption is not always essential. The results of the simplified version of our approximation method applied to Dutch imports and exports proves to be independent of the initial values, so that any random set of values may serve as initial indicator of pressure of demand. This property may hold for any linear model, but is not likely to hold for non—linear models.

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  4. The introduction of a disturbance term in this equation would complicate the analysis seriously.

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  5. The implied neglect of the stochastic nature of u regrettably obscures the statistical properties of the iterative procedure and prohibits any formal test in this respect. Compare however the Appendix to Chapter 4.

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  6. The only exception was the integrated product market/labour market analysis, discussed in section 5.5.3, in which case we had to rely on maximum—likelihood estimation.

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  7. The generalization to more then one common determinant is straightforward.

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  8. Dependent on the problem to be studied, either their observed values or their computed values based on the approximation just discussed may be inserted.

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© 1979 Springer Science+Business Media Dordrecht

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Siebrand, J.C. (1979). Statistical approximation to ex ante variables. In: Towards Operational Disequilibrium Macro Economics. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3561-2_3

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  • DOI: https://doi.org/10.1007/978-94-017-3561-2_3

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-247-2153-5

  • Online ISBN: 978-94-017-3561-2

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