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to erase all the unworldly assumptions so as to obtain more realistic (i.e., less dogmatic) prices. All this drives a stake through the heart of nancial economics and mathematical nance. Few beliefs have been held as more sacrosanct (not only by academics and students but also by most observers and even pros and regulators) as the notions that BSM has enjoyed resoundingly successful popularity ( it s the standard model, widely used all over the globe ), that it helped launch the modern derivatives revolution ( the option business would have never taken off without the model ), and that the quant revolution that it unleashed was both welcome and necessary ( there can be no nance these days without mathematical models ). According to Haug and Taleb, this is a bunch of nonsense. It is not used and it wasn t needed. Not only conceptually awed, but not even a rst. The long-presumed king has been clothes-less for a long while, unnoticed so until very recently.

the same time span, and for the 1996 panel the rate of loss was over 31 % (Westat, 2001, table 2.5, pp. 2 19). In general, a high rate of sample attrition poses a serious problem for longitudinal studies. At a minimum, attrition reduces the precision of survey estimates, and at sufficiently high levels can threaten the viability of continuing a panel, especially if the initial sample size was relatively small. Of greater concern, since attrition tends not to be random it may impart bias to population estimates. Survey administrators thus face pressures both to ensure that they employ design features and fieldwork procedures that will maximize sample retention and, since some nonresponse is unavoidable, deliver as much information as possible about nonrespondents to assist data analysts to make inferences in the presence of missing data. Achieving both of these objectives requires good knowledge of the response process and the factors that give rise to sample attrition, and this is the subject of this chapter. More specifically, this chapter reviews the growing body of empirical evidence on the determinants of response to, and attrition from, longitudinal surveys. We are especially interested in those factors that are most amenable to manipulation by survey designers and administrators. As a result, the emphasis here is more on the role of survey design features and the interview situation, and less on the demographic characteristics of nonrespondents, information that can be readily distilled from all longitudinal survey datasets and is regularly used in the construction of population weights that adjust for attrition. We then estimate a model predicting response over the course of the first four waves of the Household, Income and Labour Dynamics in Australia (HILDA) Survey, a relatively new household panel survey that has experienced significant attrition.

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you the percentage based on number of accounts. It is also helpful to calculate this statistic in relation to assets as opposed to number of accounts. To do this, add the assets from each of the accounts that fall within one standard deviation of the average account and take that sum as a percentage of the total assets in the composite.

Another technology currently under development involves bringing light to a complete standstill. It is the next step on from the slow-glass experiments of Lene Vestergaad Hau. Once again it s Einstein s fth state of matter, the unique Bose-Einstein condensate, that is involved. The intention is to pull photons into spinning vortexes in a Bose-Einstein condensate, hoping that the light will be dragged into the churning matter like a car sucked into a tornado. If these frigid whirlpools can be spun fast enough, they will become microscopic optical black holes, clawing in light and never letting go until the vortex loses its momentum. Ulf Leonhardt and Paul Piwnicki of the Stockholm Royal Institute of Technology and the University of St. Andrews in Scotland believe that such an effect can be produced. These optical black holes are made possible by the extreme slowness of the light passing through the condensate. Unlikely though it sounds, the light moves so slowly that it is entirely feasible to spin the vortex of condensate faster than the light moves within it. This won t result in any distortions of time the effects of Einstein s special