Advances in Data Envelopment Analysis - download pdf or read online

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By Rolf Fare, Shawna Grosskopf, Dimitris Margaritis

Information Envelopment research (DEA) is usually missed in empirical paintings akin to diagnostic checks to figure out no matter if the information conform with know-how which, in flip, is critical in settling on technical switch, or discovering which forms of DEA versions let information alterations, together with facing ordinal data.

Advances in info Envelopment Analysis specializes in either theoretical advancements and their purposes into the dimension of efficient potency and productiveness progress, corresponding to its program to the modelling of time substitution, i.e. the matter of ways to allocate assets through the years, and estimating the "value" of a call Making Unit (DMU).

Readership: complicated postgraduate scholars and researchers in operations examine and economics with a specific curiosity in construction idea and operations administration.

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K , k=1 m=1 K N (iii) x kn > 0, n = 1, . . , N, (iv) x kn > 0, k = 1, . . , K . 1) To illustrate, assume that we have two DMUs (K = 2) which employ two inputs (N = 2) to produce two outputs (M = 2). , X= x11 x21 x 12 x22 , Y = y11 y21 y12 y22 The Kemeny, Morgenstern and Thompson (1956) condition from (i) above holds for this simple example if y11 + y21 > 0, March 10, 2015 8:49 Advances in Data Envelopment Analysis - 9in x 6in b2007-ch02 page 19 Chapter 2. Looking at the Data in DEA 19 which also holds for output 2, requiring that one of the outputs must be strictly positive.

11) x Di (y, x) 3 This is usually stated as wx/C(y, w) = D (y, x) + AE , where the last term is a residual i i referred to as allocative efficiency. , Grosskopf, S. and Margaritis, D. and Di (y, x) = min w wx . 12) Again, the cost function is a distance function in the dual price space, and by the last equality we note that the input distance function is a cost function in the same space. Thus both functions have dual interpretations as cost and distance functions. From Chapter 1, the DEA/Activity Analysis model of the input set takes the form K L(y o ) = (x 1 , .

M, k=1 K k=1 zk 0, k = 1, . . , K . March 10, 2015 8:49 Advances in Data Envelopment Analysis - 9in x 6in b2007-ch03 page 41 Chapter 3. DEA and Intensity Variables 41 Note that minimizing over inputs implies that the intensity variables, z k , k = 1, . . , K become choice variables as well. Thus one may change the cost minimization problem and ask ‘what are the best choices of z k , k = 1, . . ’ Hence, given prices of the intensity variables (q1 , . . , q K ) ∈ +K , what is the least cost way of using the DMUs.

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