Dynamic Decision Theory von G. Haag | Applications to Urban and Regional Topics | ISBN 9789400909397

Dynamic Decision Theory

Applications to Urban and Regional Topics

von G. Haag
Buchcover Dynamic Decision Theory | G. Haag | EAN 9789400909397 | ISBN 94-009-0939-X | ISBN 978-94-009-0939-7

Dynamic Decision Theory

Applications to Urban and Regional Topics

von G. Haag

Inhaltsverzeichnis

  • 1. Introduction.
  • 2. A Dynamic Theory of Decision Processes.
  • 2.1 The Panel Data-Based Discrete Choice Approach.
  • 2.2 The Master Equation View in Dynamic Choice Processes.
  • 2.3 The Decision Process.
  • 2.4 The Equations of Motion.
  • 2.5 Parameter Estimation.
  • 2.6 Selection Criteria for the Examples.
  • 3. Shocks in Urban Evolution.
  • 3.1 Introduction.
  • 3.2 A Stochastic Model on Shocks in Urban Evolution.
  • 4. Intra — Urban Migration.
  • 4.1 Introduction.
  • 4.2 A Stochastic Model on Intra-Urban Dynamics.
  • 5. Inter-Regional Migration.
  • 5.1 Introduction.
  • 5.2 The Stochastic Migration Model.
  • 5.3 Comparative Analysis of Inter-Regional Migration.
  • 6. Chaotic Evolution of Migratory Systems.
  • 6.1 Introduction.
  • 6.2 The Migratory Master Equation and Mean Value Equations for Interacting Populations.
  • 6.3 Chaotic Behaviour of Migratory Trajectories.
  • 6.4 Conclusion.
  • 7. Spatial Interaction Models and their Micro-Foundation.
  • 7.1 Introduction to Spatial Urban Theory.
  • 7.2 A Service System as the Basis of the Model.
  • 7.3 A Master Equation Approach.
  • 7.4 The Quasi-Deterministic Equations to the Dynamic Service Sector Model.
  • 7.5 The Stationary Solution of the Service Sector Model.
  • 7.6 Dynamic Simulations and their Interpretation.
  • 7.7 Concluding Comments.
  • 8. Further Applications and Extensions.
  • 8.1 Knowledge, Innovation, Productivity.
  • 8.2 Economic Cycles.
  • 8.3 Housing and Labour Market.
  • 8.4 Concluding Remarks.
  • 9. Appendix: The Master Equation.
  • 9.1 Deterministic and Probabilistic Description of Systems.
  • 9.2 Some General Concepts of Probability Theory.
  • 9.3 The Derivation of the Master Equation.
  • 9.4 The Stationary Solution of the Master Equation for Detailed Balance.
  • 9.5 The Stationary Solution of the Master Equation of Chapter 4.
  • 9.6 The Stationary Solution of the Master Equationof Chapter 5.
  • 9.7 The Embedding of Random Utility Theory.
  • 9.8 The Construction of Configurational Transition Rates via Panel Data.
  • References.