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  • 1
    Monograph available for loan
    Monograph available for loan
    Amsterdam [u.a.] : North-Holland
    Associated volumes
    Call number: PIK B 020-01-0440
    In: Handbook of computational economics
    Type of Medium: Monograph available for loan
    Pages: 827 p.
    Series Statement: Handbook of computational economics 1
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 2
    Pages: Online-Ressource (3-827)
    ISBN: 9780444898579
    Language: English
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Annals of operations research 68 (1996), S. 141-159 
    ISSN: 1572-9338
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics , Economics
    Notes: Abstract In this paper, we adapt the Fair and Taylor [4] method for forward-looking variables in simulation models to control theory models. In particular, we develop a procedure for solving quadratic linear control models when there are forward-looking variables in the system equations. The simplest way to do this for deterministic problems would be to stack up the variables for all time periods using Theil's procedure [9], as suggested by Hughes-Hallet and Rees [5] for simulation models and done by Becker and Rustem [7] for perfect foresight problems. However, we plan to continue from the current paper and develop similar procedures for passive and active learning control problems, and the stacking procedure does not seem as natural for those problems. Therefore, we will use the Fair-Taylor approach here and adapt it for deterministic quadratic linear problems.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Computational economics 10 (1997), S. 103-105 
    ISSN: 1572-9974
    Keywords: computational economics.
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Economics
    Notes: Abstract Computational Economics is rapidly evolving into an independent branche in economics. This paper describes the current and future developments within the field of Computational Economics.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    Computational economics 14 (1999), S. 151-181 
    ISSN: 1572-9974
    Keywords: computational economics ; programming languages ; software ; computer languages
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Economics
    Notes: Abstract Young economists sometimes ask which computer programming languages they should learn. This paper answers that question by suggesting that they begin with a high level language like GAUSS, GAMS, Mathematica, Maple or MATLAB depending on their field of specialization in economics. Then they should work down to one of the low level languages such as Fortran, Basic, C, C++ or Java depending on the planned areas of application. Finally, they should proceed to the languages which are used to develop graphical interfaces and internet applications, viz. Visual Basic, C, C++ or Java.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Computational economics 1 (1988), S. 1-1 
    ISSN: 1572-9974
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Economics
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Computational economics 12 (1998), S. 125-149 
    ISSN: 1572-9974
    Keywords: computational economics ; macroeconomics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Economics
    Notes: Abstract Our general goal in this paper is to show how to implement in GAMS standard deterministic nonlinear macro models, and stochastic linear macro models with rational expectations. We will also present basic concepts on solution methods and policy analysis for these kinds of models. As a practical illustration, we will use some well known teaching and experimental models in the macroeconomic literature.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Computational economics 14 (1999), S. 255-262 
    ISSN: 1572-9974
    Keywords: learning-by-doing ; industrial organization ; dynamic optimization ; Bayesian updating ; Monte Carlo simulation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Economics
    Notes: Abstract Empirical research indicates that learning-by-doing may be one of the main causes of falling production costs. A number of authors like Arrow, Fudenberg and Tirole, Dasgupta and Stiglitz, have focused on the theoretical implications of learning-by-doing. However, a complete framework incorporating learning, stock building as well as uncertainty, is lacking in the literature. In this paper we broaden earlier theoretical work in two ways. First, we present a theoretical model of learning-by-doing in which the unit-cost structure is not fully known to the firm. The firm has to estimate its stochastic cost structure during the production process. Second, the model allows for the firm to keep a stock which adds to the complexity of the learning process. Through monte carlo techniques we derive the optimal production and sales quantities for multiple cost structures.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Springer
    Computational economics 14 (1999), S. 263-267 
    ISSN: 1572-9974
    Keywords: macroeconomics ; learning ; stochastic optimization ; numerical experiments
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Economics
    Notes: Abstract Many macroeconomic policy exercises consider the mean values of parameter estimates but do not use the variances and covariances. One can argue that the uncertainty of these parameter estimates is sufficiently small that it can safely be ignored. Or one can take the position that this kind of uncertainty cannot be avoided no matter what one does. Thus it is just as well to ignore it while making policy decisions. In this paper we address both of these positions in the presence of learning and find that they are unconvincing. To the contrary, we find evidence that the potential damage from ignoring the variances and covariances of the parameter estimates is substantial and that taking them into account can improve matters.
    Type of Medium: Electronic Resource
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  • 10
    Publication Date: 1996-03-01
    Print ISSN: 0254-5330
    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
    Published by Springer
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