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MirandaFackler.notebooks

List of Jupyter Notebooks on Miranda and Fackler, Applied Computational Economics and Finance, MIT press, 2002

Chapter 6: Function Approximation

• 補間法のまとめ
• Replication with BasisMatrices.jl

Chapter 7: Discrete Time, Discrete State Dynamic Models

• 7.6.1: Mine Managment [Python] [Julia]
• 7.6.2: Asset Replacement [Python] [Julia]
• 7.6.3: Asset Replacement with Maintenance [Python] [Julia]
• 7.6.4: Option Pricing [Python] [Julia]
• 7.6.5: Water Management [Python] [Julia]
• 7.6.6: Bioeconomics [Python] [Julia]

Chapters 8-9: Discrete Time, Continuous State Dynamic Models

• LQ Approximation with QuantEcon [Python] [Julia]
• 9.6.1: Asset Replacement [Julia]
• 9.6.2: Industry Entry and Exit [Julia]
• 9.7.1: Economic Growth [Julia]
• 9.7.2: Renewable Resource Management [Julia]
• 9.7.3: Nonrenewable Resource Management [Julia]
• 9.7.4: Water Management [Julia]
• 9.7.5: Monetary Policy [Julia]
• 9.7.6: Production Adjustment Model [Julia]
• 9.7.7: Production Inventory Model [Julia]
• 9.7.8: Livestock Feeding [Julia]
• 9.8.1: Capital-Production Game [Julia]
• 9.8.2: Income Redistribution Game [Julia]
• 9.8.3: Marketing Board Model [Julia]
• 9.9.1: Asset Pricing Model [Julia]

Libraries

• QuantEcon.py
• QuantEcon.jl
• BasisMatrices.jl
• CompEcon
• CompEcon-python

Resources

• Applied Computational Economics Workshop
• CompEconWorkshop_2017