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Longitudinal surveys are often not as good as cross-sectional surveys at providing crosssectional estimates. This may be perceived as a weakness, but it is simply not something that longitudinal surveys are designed for. Compared with estimates from a crosssectional survey, cross-sectional estimates from a longitudinal survey (from wave 2 onwards) may be more likely to suffer from coverage error if the sample does not include, or under-represents, additions to the population since the sample was selected. This coverage error may increase over waves as the time since sample selection, and hence the undercoverage rate, increases. The design of a longitudinal survey can often be adjusted

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This formula uses the difference between the actual mean and the null hypothesis mean, divided by the standard error of the mean. In this example: z 12:1 12:0 0:23 p

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where the conditional expectation is the one de ned by means of Gaussian regression. Since the process has continuous sample paths, its expectation m(t) and covariance r(s, t) are continuous (see Section 1.4.3). On the other hand, the regression formulas show that E(|X(n) (t)| X(n) (t) = x)pX(n) (t) (x) is a continuous function of the pair (t, x), and thus it is bounded for t I and x in a neighborhood of u. This implies that we may pass the limit sign inside the integral on the right-hand side of (3.5), so that E Nu (X(n) , I ) =

29.89 33.33 34.25 44.30 41.38 45.21 26.26 31.65 44.44 40.54 36.68

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concedes. Granted, as long as Alfred Nobel s memory continues to be betrayed, the PR exercise would probably be further-reaching than otherwise (a Nobel-less Sveriges Riksbank affair sounds less intriguing, in principle). But even if the disgruntled Nordic heir has his way, the award could continue to successfully tag along as the inheritor of the legendary Nobel in Economics tradition, without a discernable loss of reputation and admiration. (However, as will be noted later, a change in name accompanied by an eye-opening, clarifying disclaimer could in fact be very helpful to our cause.) What should concern us about the Nobel-or-whatever in Economics is how its whiter-than-white mantle can encourage the spreading and adoption of theoretical dictums that may contain the seeds of destructive market chaos. Given the incurable prevalence of quali cations-blindness among the populace (including all levels of informedness), a high-pro le, of cialdom-stamped coronation can make wonders for the perceived unassability and unquestionableness of a theoretical construct. After all, only an unmitigatingly rube individual would dare challenge the validity, soundness, and salutariness of a theory that is held in such high esteem by such highly esteemed institutions. Right

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