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| 文件名: QUANTITATIVE ECONOMICS with Python.pdf | |
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Table of Contents
Part 1: Programming in Python About Python Setting up Your Python Environment An Introductory Example Python Essentials Object Oriented Programming How it Works: Data, Variables and Names More Language Features NumPy SciPy Matplotlib Pandas IPython Shell and Notebook The Need for Speed Part 2: Introductory Applications Linear Algebra Finite Markov Chains Shortest Paths Schelling’s Segregation Model LLN and CLT Linear State Space Models A First Look at the Kalman Filter Infinite Horizon Dynamic Programming LQ Dynamic Programming Problems Rational Expectations Equilibrium Markov Perfect Equilibrium Markov Asset Pricing The Permanent Income Model Part 3: Advanced Applications Continuous State Markov Chains The Lucas Asset Pricing Model Modeling Career Choice On-the-Job Search Search with Offer Distribution Unknown Optimal Savings Robustness Dynamic Stackelberg Problems Covariance Stationary Processes Estimation of Spectra Optimal Taxation History Dependent Public Policies Solutions FAQs / Useful Resources PDF： [hide][/hide] |
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