nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2006‒02‒19
two papers chosen by
Walter Frisch
University Vienna

  1. ICT and productivity growth - the paradox resolved? By Alan Hughes; Michael S Scott Morton

  1. By: Alan Hughes; Michael S Scott Morton
    Abstract: This paper argues that the gains from ICT at the individual business level depend upon the implementation of a range of complementary ÔinvestmentsÕ and organisational changes appropriate to the competitive and institutional context of particular sectors. To support our proposition we provide a brief overview of a recently emerging but compelling body of large sample micro-econometric research. We focus in depth, however on a single case study of ICT related organisational transformation in the transportation sector. This case builds upon the conceptual framework developed in the MIT interesting organisations project (Scott Morton (2003)). Taken as a whole we believe there is clear evidence of the conditions that seem to be required before the payoff from ICT can be realised by an organisation and hence diffuse through the economy. Effective use of ICT requires a holistic solution which recognises that there is no single factor, or even just a few, which leads to successful exploitation. Rather success comes from the artful crafting of a series of interrelated and mutually interdependent driving forces. The paradoxical ÔgapÕ between investment in computers and realised performance can be closed if this lesson is absorbed.
    Keywords: ICT, Complementary Investment, Productivity, Transport Services
    Date: 2005–12
  2. By: Lilia Maliar (Universidad de Alicante); Serguei Maliar (Universidad de Alicante)
    Abstract: This paper presents an algorithm for solving nonlinear dynamic stochastic models that computes value function by simulations. We argue that the proposed algorithm can be a useful alternative to the existing methods in some applications.
    Keywords: Nonlinear stochastic models; Value function; Parameterized expectations; Monte Carlo simulations; Numerical solutions
    JEL: C6 C63 C68
    Date: 2004–10

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