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Subjective Versus Objective Economic Measures. A fuzzy logic exercise

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  • Caleiro, António

Abstract

It is rather evident that there is much more (statistical) information about objective aggregates, such as inflation, output or unemployment than that concerning subjective aggregates, such as well-being, satisfaction, confidence or even expectations. Due to its characteristics, fuzzy logic can and should indeed be used to understand how some of those subjective measures can be approximated by objective ones. This task is accomplished in the paper by the use of Portuguese data on consumer confidence - the subjective economic measure - and on the unemployment rate - the objective economic measure -. The results clearly indicate that to be a worthwhile exercise as the clear importance of unemployment on confidence is only revealed by the fuzzy logic approximation.

Suggested Citation

  • Caleiro, António, 2003. "Subjective Versus Objective Economic Measures. A fuzzy logic exercise," EconStor Preprints 142693, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esprep:142693
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    Cited by:

    1. Caleiro, António, 2005. "How is Confidence Related to Unemployment in Europe? A fuzzy logic answer," EconStor Preprints 142734, ZBW - Leibniz Information Centre for Economics.

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    More about this item

    Keywords

    Confidence; Fuzzy Logic; Objective Measures; Subjective Measures;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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