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Paperback or Softback. Condizione: New. An Anticipative Feedback Solution for the Infinite-Horizon, Linear-Quadratic, Dynamic, Stackelberg Game. Book.
Lingua: Inglese
Editore: CreateSpace Independent Publishing Platform, 2013
ISBN 10: 1491257830 ISBN 13: 9781491257838
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Lingua: Inglese
Editore: Munich, Center for Economic Studies & Ifo Institute for Economic Research, 2005
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Aggiungi al carrelloHeft; Condizione: Gut. 42 Seiten; Das hier angebotene Heft stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.). Schnitt und Einband sind etwas staubschmutzig; ansonsten ordentlicher Erhaltungszustand; Sprache: Englisch Gewicht in Gramm: 60.
Lingua: Inglese
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ISBN 10: 1491257830 ISBN 13: 9781491257838
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Lingua: Inglese
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ISBN 10: 1491257830 ISBN 13: 9781491257838
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Lingua: Inglese
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ISBN 10: 1491257954 ISBN 13: 9781491257951
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Lingua: Inglese
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Createspace Independent Publishing Platform, 2013
ISBN 10: 1491257954 ISBN 13: 9781491257951
Da: CitiRetail, Stevenage, Regno Unito
EUR 23,76
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Dynamic Stackelberg (or leader-follower) games are useful tools for studying dynamic economic behavior in equilibrium settings in which some player is dominant. Because of their tractability, infinite- horizon, linear-quadratic, dynamic, Stackelberg (LQDS) games have received particular attention. LQDS games have been used to study non- competitive behavior in specific markets and to evaluate and design macroeconomic policies. For example, Sargent (1985) contains studies of energy markets based on LQDS games; Kydland and Prescott (1977) and Fischer (1980) studied optimal tax policy using DS games; Canzoneri and Gray (1985), Miller and Salmon (1985), and Turnovsky, Basar, and d'Orey (1988) studied international macroeconomic policy coordination using DS games; section 4 illustrates the present anticipative feedback solution in a LQDS game of a hypothetical industry. The anticipative feedback solution could be applied to the LQ approximation of any dynamic economic setting with a dominant agent. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Createspace Independent Publishing Platform, 2013
ISBN 10: 1491257830 ISBN 13: 9781491257838
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. The paper obtains two principal results. First, using a new definition of higher-order (>2) matrix derivatives, the paper derives a recursion for computing any Gaussian multivariate moment. Second, the paper uses this result in a perturbation method to derive equations for computing the 4th-order Taylor- series approximation of the objective function of the linear-quadratic exponential Gaussian (LQEG) optimal control problem. Previously, Karp (1985) formulated the 4th multivariate Gaussian moment in terms of MacRae's definition of a matrix derivative. His approach extends with difficulty to any higher (>4) multivariate Gaussian moment. The present recursion straightforwardly computes any multivariate Gaussian moment. Karp used his formulation of the Gaussian 4th moment to compute a 2nd-order approximation of the finite-horizon LQEG objective function. Using the simpler formulation, the present paper applies the perturbation method to derive equations for computing a 4th-order approximation of the infinite-horizon LQEG objective function. By illustrating a convenient definition of matrix derivatives in the numerical solution of the LQEG problem with the perturbation method, the paper contributes to the computational economist's toolbox for solving stochastic nonlinear dynamic optimization problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Createspace Independent Publishing Platform, 2013
ISBN 10: 1491258004 ISBN 13: 9781491258002
Da: CitiRetail, Stevenage, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Time series of production capital and total factor productivity (or "technology," as we call the latter here) are fundamental to understanding the processes of output and productivity growth. Unfortunately, capital and technology are unobserved except at the most disaggregated levels of production units and capital components and must be estimated prior to being used in empirical analysis. Standard methods for estimating capital and technology were developed decades ago (Jorgenson, 1963; Solow, 1957) and are based on analytical and computational methods of that era. We develop and apply a new method for estimating production capital and technology, based on advances in economics, dynamic optimization, statistics, and computing over the intervening years. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.