QUALITATIVE ANSWERING SURVEYS AND SOFT COMPUTING
Antonio Morillas () and
Additional contact information
Bárbara Díaz: Universidad de Málaga
GE, Growth, Math methods from University Library of Munich, Germany
In this work, we reflect on some questions about the measurement problem in economics and, especially, their relationship with the scientific method. Statistical sources frequently used by economists contain qualitative information obtained from verbal expressions of individuals by means of surveys, and we discuss the reasons why it would be more adequately analyzed with soft methods than with traditional ones. Some comments on the most commonly applied techniques in the analysis of these types of data with verbal answers are followed by our proposal to compute with words. In our view, an alternative use of the well known Income Evaluation Question seems especially suggestive for a computing with words approach, since it would facilitate an empirical estimation of the corresponding linguistic variable adjectives. A new treatment of the information contained in such surveys would avoid some questions incorporated in the so called Leyden approach that do not fit to the actual world.
Keywords: Computing with words; Leyden approach; qualitative answering surveys; fuzzy logic (search for similar items in EconPapers)
JEL-codes: C6 D5 D9 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ict
Note: Type of Document - pdf; pages: 27
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
Journal Article: QUALITATIVE ANSWERING SURVEYS AND SOFT COMPUTING (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpge:0512002
Access Statistics for this paper
More papers in GE, Growth, Math methods from University Library of Munich, Germany
Bibliographic data for series maintained by EconWPA ().