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Recursive methods in economic dynamics / Nancy L. Stokey and Robert E. Lucas ; with Edward C. Prescott.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cambridge ; London : Harvard University Press, 1989.Description: xviii, 588 páginas : ilustraciones, gráficas, tablas ; 24 cmContent type:
  • Texto
Media type:
  • Sin mediación
Carrier type:
  • Volumen
ISBN:
  • 0674750969
Subject(s): DDC classification:
  • 330.1543 S76r  21
Other classification:
  • C65
Contents:
I: The recursive approach ; 1. Introduction ; 2. An overview -- II: Deterministic models ; 3. Mathematical preliminaries ; 4. Dynamic programming under certainty ; 5. Applications of dynamic programming under certainty ; 6. Deterministic dynamics -- III: Stochastic models ; 7. Measure theory and integration ; 8. Markov processes ; 9. Stochastic dynamic programming ; 10. Applications of stochastic dynamic programming ; 11. Strong convergence of Markov processes ; 12. Weak convergence of Markov processes ; 13. Applications of convergence results for Markov processes ; 14. Laws of large numbers -- IV: Competitive equilibrium ; 15. Pareto optima and competitive equilibria ; 16. Applications of equilibrium theory ; 17. Fixed-point arguments ; 18. Equilibria in systems with distortions.
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Holdings
Item type Home library Call number Status Notes Date due Barcode Item holds
LIBRO FISICO Biblioteca Principal 330.1543 S76r (Browse shelf(Opens below)) Checked out Mantener en colección. 2023-11-15 29004025519371
LIBRO FISICO Biblioteca Principal 330.1543 S76r (Browse shelf(Opens below)) Available Mantener en colección. 29004018985845
Total holds: 0

Incluye referencias bibliográficas (páginas 563-573) e índice.

I: The recursive approach ; 1. Introduction ; 2. An overview -- II: Deterministic models ; 3. Mathematical preliminaries ; 4. Dynamic programming under certainty ; 5. Applications of dynamic programming under certainty ; 6. Deterministic dynamics -- III: Stochastic models ; 7. Measure theory and integration ; 8. Markov processes ; 9. Stochastic dynamic programming ; 10. Applications of stochastic dynamic programming ; 11. Strong convergence of Markov processes ; 12. Weak convergence of Markov processes ; 13. Applications of convergence results for Markov processes ; 14. Laws of large numbers -- IV: Competitive equilibrium ; 15. Pareto optima and competitive equilibria ; 16. Applications of equilibrium theory ; 17. Fixed-point arguments ; 18. Equilibria in systems with distortions.

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