1968
DOI: 10.2307/1909522
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Qualitative Economics and the Scope of the Correspondence Principle

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Cited by 135 publications
(53 citation statements)
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“…We have added a number of enhancements to the method first presented as discussed below. Algorithmic approaches and the sufficient conditions for conducting a qualitative analysis presented previously include: Lancaster [30]; Bassett, Maybee and Quirk [31]; Ritschard [32]; Maybee [33]; and Lady [34]. These all were designed to detect and resolve any entries in the reduced form that were signable, i.e., had the same sign, given the sign patterns of the structural arrays, but independent of the magnitudes of the nonzero entries.…”
Section: Appendix: a Qualitative Tool Kitmentioning
confidence: 99%
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“…We have added a number of enhancements to the method first presented as discussed below. Algorithmic approaches and the sufficient conditions for conducting a qualitative analysis presented previously include: Lancaster [30]; Bassett, Maybee and Quirk [31]; Ritschard [32]; Maybee [33]; and Lady [34]. These all were designed to detect and resolve any entries in the reduced form that were signable, i.e., had the same sign, given the sign patterns of the structural arrays, but independent of the magnitudes of the nonzero entries.…”
Section: Appendix: a Qualitative Tool Kitmentioning
confidence: 99%
“…For a given system, barring zeros as we assume, there are 2 mn possible reduced form sign patterns. The (long) integer used in our computing platform is limited to +/− 2 31 . Accordingly, we cannot tabulate indexed counts of the reduced form sign patterns except for mn < 30.…”
Section: Appendix: a Qualitative Tool Kitmentioning
confidence: 99%
“…Sufficiënt conditions for a complete sign-solvability of matrix C are given by Lancaster, viz. when the matrix C of order n x (n + 1) has the following shape (making use of the above mentioned row and column operations): Bassett et al, 1968;Voogd, 1982):…”
Section: Qualitative Calculusmentioning
confidence: 99%
“…To further characterize a Morishirna matrix, we use the concept of a cycle in a matrix (see [7,8] greater than one i$ non-negative (see [ 4 ] [11,4 ].…”
mentioning
confidence: 99%