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To show how the existence of common cost plays a vital role in the sustainability of Ramsey prices, we can construct a simple example out of Figure 55 Example 74 (Common cost and sustainability of Ramsey prices) Suppose that two services are produced with same stand-alone cost function A C bx First, consider the case in which there is no economy of scope, and hence the total cost is the sum of the stand-alone cost functions Since both services are produced at equal quantities xi D x j D x we have x pi C p j / D 2A C bx/ which implies x pi < A C bx < x p j But A C bx is the stand-alone cost for service j, which violates the sustainability conditions.

FIGURE 3.8 Element spacing along the E-plane versus the blind angle of a printed dipole array on a dielectric-coated ground plane.

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Now suppose that there are economies of scope and the xed cost A is common to both services Then x pi C p j / D AC2bx, and since pi > b we obtain x p j Cbx < AC2bx This implies x p j < A C bx, which is the stand-alone cost for service j Hence, the existence of common cost is vital for Ramsey prices to be sustainable Observe that, in this particular case, any amount of common cost, A, will make Ramsey prices sustainable In general, as suggested by Example 73, large values of A ensure sustainability 713 Shapley Value Let us now leave the subject of prices and return to the simple model at the start of the chapter, in which cost is to be fairly shared amongst n customers.

More generally, this model provides a very simple and elegant model of a datagram, the datagram being the basic mechanism of many communication protocols (simple sending and reception of a message), used in the most widespread protocols, e.g. Ethernet, IP and UDP. Thus, this simple model can be regarded as one axiom of the specification of protocols and communications in distributed architectures, i.e. a basic model which can be used as a starting point for building increasingly sophisticated models by increasing the complexity.

The provider s charging algorithm could be coded in a vector function which divides cN / as c1 ; : : : ; cn / D 1 N /; : : : ; n N / Let us suppose that T / is de ned for an arbitrary subset T N , and codes the way he would divide the cost of cT / amongst the members of the subset T if he were to provide services to only this subset of customers Clearly, fig/ D cfig/ being the stand-alone cost for serving only customer i Suppose that T N and i; j are distinct members of T If j T / j T n fig/ > 0, then customer j pays more than he would pay if customer i were not being served.

In the preceding section, we argued that downside risk should receive a higher risk premium than upside risk In this section we will look at the source and magnitude of this difference The rst thing to observe is how close the traditional measures of downside risk are to the standard deviation proxy among our recommended measures of downside risk There will, of course, be some correlation because traditional measures of risk include the downside as well as the upside The degree of asymmetry, and general quirkiness of the return distribution, will determine how well traditional (general) measures of risk will follow downside measures It also may not always be the case that downside risk is higher than upside risk For large stable corporations, there may be enough reserves and low-risk projects to weather any storm Consider the case of IBM and Cisco Systems.

Semrud-Clikeman, M, Kutz, A, & Strassner, E (2005) Providing neuropsychological services to learners with traumatic brain injuries In R C D Amato, E FletcherJanzen, & C R Reynolds (Eds), Handbook of school neuropsychology (pp 425 443) Hoboken, NJ: Wiley Serajee, F J, Zhong, H, Nabi, R, & Huq, A H (2003) The metabotropic glutamate receptor 8 gene at 7q31: Partial duplication and possible association with autism Journal of Medical Genetics, 40, 42 Shalat, S L, Donnelly, K C, Freeman, N C G, Calvin, J A, Ramesh, S, Jimenez, M, et al (2003) Nondietary ingestion of pesticides by children in an agricultural community on the US/Mexico border: Preliminary results Journal of Exposure Analysis and Environmental Epidemiology, 13, 42 50 Shalat, S L, Donnelly, K C, Ramesh, S, Freeman, N, Jimenez, M.

He might argue this was unfair, unless customer i can counter-argue that he is at least as disadvantaged because of customer j But then if customer i is not to feel aggrieved then he must see similarly that customer j is at least as much disadvantaged Putting this all together requires.

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