The article constitutes an additional case study of the application of implication operators and this time their performance is evaluated in comparison to the performance of linear regression techniques. Both methodologies are applied for the purpose of determining what factors are influencing price level differentials among counties of Florida. Eleven variables were selected as explanatory variables. In the process of applying both methodologies, the advantages as well as disadvantages of each are examined. Utilizing both methodologies, the analysis involved 12 annual cross section runs, as well as one pooled cross section-time series run. the analysis consisted of using traditional linear regression methodologies on the one hand, and four different implication operators, on the other hand. Tables I through XXXV display the results of this empirical case study. the major conclusions could be briefly summarized as follows: Both methodologies show some consistency of results from year to year, but that consistency is limited-as could be expected.1 The results of pooled regression analysis display a substantial difference in comparison to annual cross section results. In contrast, the results of year-to-year application of implication operators are fairly consistent with the corresponding pooled results. As the research progressed, it became apparent that conceptual advantages of implication operator methodologies over the regression methods2 are countered by the incompleteness of research in that area (of implication operators) as reflected by the unavailability of significance indicators. Thus, both methods have some advantages and some disadvantages. The methodology of implication operators has a potential to become the superior method of the two,3 once the research and development of these techniques is complete, and the problem of significance tests is solved. But until then, the preferred approach is to utilize both methods to extract maximum information about phenomena under investigation, and then to apply common sense to sort out and interpret the results. As a greater number of relevant but independent methods of analysis are applied to the investigation process, the results could either reinforce one another-if they at least approximately point in the same direction, or call for some caution in the case of contradictory outcome.