Quant Macro w/ Machine Learning 2: Computation Basics
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Quant Macro w/ Machine Learning 5: Projection Methods
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Quant Macro w/ Machine Learning 4: Linearization and Perturbation
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lec11-2: machine learning and value function
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Quant Macro w/ Machine Learning 1: Intro
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Introduction 1-1
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lec10-2: Computation of Aiyagari Model
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lec5_1: introduction to Machine learning
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Quant Macro w/ Machine Learning 3: Numerical Solution of Dynamic Models
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Lec_7_2: Curse of dimensionality in quant macro
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Lec_8_1: Krusell-Smith model via Machine Learning
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Lec 6: macro overview
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Quant Macro w/ Machine Learning 9: Krusell-Smith Model
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lec5_2: introduction to deep learning
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Lec_3_1: What is machine learning
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Quant Macro w/ Machine Learning 11: Machine Learning for Dynamic Models
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Lec 2: production possibility frontier
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Quant Macro w/ Machine Learning 10: Machine Learning Basics
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Lec 10: labor market
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Lec_3_2: How machine learning works, pattern recognition
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高级宏观经济理论: 20-Uncertainty in Macro,1
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lec11-1: machine learning and FOC
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高级宏观经济理论: 22-Uncertainty in Macro,3
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lec8_1: Projection
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lec9: calibration and estimation
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Lec 4: demand
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高级宏观经济理论: 21-Uncertainty in Macro,2
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lec13-2: reinforcenment learning for model w/ endogenous state space
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Introduction 1-2
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lec4_2: introduction to PyTorch for macroeconomist
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Lec 1: principles in micro
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Lec 12: MPC, multipler
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lec3_1: value function based numerical method
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Lec 9: growth
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Lec 21: monetary policy
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Lec_7_1: Review of Machine learning
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Lec 18: fiscal policy
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lec8_2: finite element
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Lec 15: AD
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高级宏观经济理论: 23- Asset pricing 1
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Lec 5: supply