Konvolut Regression

Steindl, Josef

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Document type:: Works

Collection:: Josef Steindl Collection

Title:: Konvolut Regression

Author:: Steindl, Josef

Scope:: Konvolut, handschriftlich, 22 lose Blätter

Year of publication:: 1990

Source material date:: [vermutlich um 1990]

Language:: English German

Note:: Titel fingiert.

Topic:: Stochastic processes and size distribution

Shelfmark:: S/M.55.1

DOI:: https://doi.org/10.48671/nls.js.AC14446191

10 will be exactly the same as by the former method. The alternative way is to take into account the non-basics explicitly, which we can do very well in this case since their prices can be determined by means of the prices of basic goods. We are here quite naturally led to apply the actual quantities of the original system because it is they, non-basics and basics together, which form the equivalent of the standard weights q* of basic goods (which result from shifting the resources of the non-basic sector into the basic sector). We shall therefore have for the net product P # » ( 13 ) where A1 is the matrix of coefficients of the non-basics (we neglect the unimportant A2 here) and q is the vector of the actual quantities of the original system. The net product of the non-basics p# } q must be regarded as the equivalent of the part of the standard product which owes its existence merely to the (hypothetical) shift of labour from the non-basic to the basic sector: For this equivalence was used to justify the calculation of the standard product in the first place. From this follows that the definition of the net product according to (13) is equivalent to that according to (12). We are then able to measure the net product in terms of standard commodity by pricing its components on the basis of the maximum profit rate, using the quantities in which they are actually produced in the original system. The method working with maximum profit prices makes it possible to evaluate not only the net product but also any part of it in terms of a share in the net product. Thus, if we evaluate the luxury goods at

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