Theory should be ever more demanding of our empirical resources. Simultaneously, data should be ever more demanding of the empirical relevance of the… - Vernon L. Smith

In economics the tendency of theory to lag behind observation seems to be endemic, and, as theorists, few of us consider this to be a "terrible state." But as noted by Lakatos (1978, p. 6), "where theory lags behind the facts, we are dealing with miserable degenerating research programmes."

Complexity. In general individual decision makers must be assumed to have multidimensional values which attach nonmonetary subjective cost or value to (1) the process of making and executing individual or group decisions, (2) the end result of such decisions, and (3) the rewards (and perhaps behavior) of other individuals involved in the decision process.

When the theory performs well you also think, “Are there parallel results in naturally occurring field data?” You look for coherence across different data sets because theories are not specific to particular data sources. Such extensions are important because theories often make specific assumptions about information and institutions which can be controlled in the laboratory, but which may not accurately represent field data generating situations. Testing theories on the domain of their assumptions is sterile unless it is part of a research program concerned with extending the domain of applications of theory to field environments