Two factors are necessary for a method to be useful in a variety of country settings. An analysis technique to understand information available is required that is robust and not constrained. And, data of a comparable format and scope of measurement is needed to enable parallel analysis across countries. Artificial intelligence neural networks and Consumer Confidence Surveys fit these criteria. This work provides an example of the power of this combination.
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