├── .gitignore ├── .travis.yml ├── LICENSE ├── Makefile ├── README.md ├── conf.py ├── requirements.txt ├── scripts └── travis-coverage.sh ├── source ├── _static │ ├── includes │ │ ├── header.raw │ │ └── lecture_howto_py.raw │ ├── lecture_specific │ │ ├── about_py │ │ │ ├── bn_density1.png │ │ │ ├── career_vf.png │ │ │ ├── pandas_vs_matlab.png │ │ │ ├── python_vs_matlab.png │ │ │ ├── qs.png │ │ │ └── qs.py │ │ ├── aiyagari │ │ │ └── aiyagari_obit.pdf │ │ ├── amss │ │ │ ├── recursive_allocation.py │ │ │ └── utilities.py │ │ ├── amss3 │ │ │ ├── amss3_g1.png │ │ │ ├── amss3_g2.png │ │ │ └── amss3_g3.png │ │ ├── arellano │ │ │ ├── arellano_bond_prices.png │ │ │ ├── arellano_bond_prices_2.png │ │ │ ├── arellano_default_probs.png │ │ │ ├── arellano_time_series.png │ │ │ └── arellano_value_funcs.png │ │ ├── arma │ │ │ └── time_series_book.pdf │ │ ├── career │ │ │ └── career_solutions_ex1_py.png │ │ ├── chang_credible │ │ │ └── changecon.py │ │ ├── coase │ │ │ ├── allocation.png │ │ │ ├── allocation.tex │ │ │ ├── subcontracting.png │ │ │ └── subcontracting.tex │ │ ├── coleman_policy_iter │ │ │ ├── col_pol_bij1.png │ │ │ ├── col_pol_bij1.tex │ │ │ ├── col_pol_bij2.png │ │ │ ├── col_pol_bij2.tex │ │ │ ├── col_pol_composition.png │ │ │ ├── col_pol_composition.tex │ │ │ └── coleman_operator.py │ │ ├── discrete_dp │ │ │ ├── finite_dp_simple_og.png │ │ │ └── finite_dp_simple_og2.png │ │ ├── estspec │ │ │ ├── ar_smoothed_periodogram.png │ │ │ ├── periodogram1.png │ │ │ └── window_smoothing.png │ │ ├── finite_markov │ │ │ ├── hamilton_graph.png │ │ │ ├── mc_aperiodicity1.gv │ │ │ ├── mc_aperiodicity1.png │ │ │ ├── mc_aperiodicity2.gv │ │ │ ├── mc_aperiodicity2.png │ │ │ ├── mc_ex1_plot.png │ │ │ ├── mc_irreducibility1.gv │ │ │ ├── mc_irreducibility1.png │ │ │ ├── mc_irreducibility2.gv │ │ │ ├── mc_irreducibility2.png │ │ │ ├── web_graph.png │ │ │ └── web_graph_data.txt │ │ ├── getting_started │ │ │ ├── editing_vim.png │ │ │ ├── ipython_shell.png │ │ │ ├── jp_demo.png │ │ │ ├── nb.png │ │ │ ├── nb2.png │ │ │ ├── nb3.png │ │ │ ├── nb6.png │ │ │ ├── nb6a.png │ │ │ ├── nb7.png │ │ │ ├── nb8.png │ │ │ ├── nb_run.png │ │ │ ├── nb_upload.png │ │ │ ├── nb_wntest2.png │ │ │ └── starting_nb.png │ │ ├── heavy_tails │ │ │ ├── light_heavy_fig1.png │ │ │ └── rank_size_fig1.png │ │ ├── ifp │ │ │ ├── ifp_agg_savings.png │ │ │ ├── ifp_histogram.png │ │ │ ├── ifp_policies.png │ │ │ └── pi2.pdf │ │ ├── kalman │ │ │ ├── kalman_ex3.png │ │ │ ├── kl_ex1_fig.png │ │ │ └── kl_ex2_fig.png │ │ ├── lake_model │ │ │ └── lake_distribution_wages.png │ │ ├── linear_algebra │ │ │ └── course_notes.pdf │ │ ├── linear_models │ │ │ ├── covariance_stationary.png │ │ │ ├── ensemble_mean.png │ │ │ ├── iteration_notes.pdf │ │ │ ├── paths_and_stationarity.png │ │ │ ├── solution_lss_ex1.png │ │ │ ├── solution_lss_ex2.png │ │ │ ├── tsh.png │ │ │ ├── tsh0.png │ │ │ └── tsh_hg.png │ │ ├── lqcontrol │ │ │ ├── solution_lqc_ex1.png │ │ │ ├── solution_lqc_ex2.png │ │ │ ├── solution_lqc_ex3_g1.png │ │ │ ├── solution_lqc_ex3_g10.png │ │ │ └── solution_lqc_ex3_g50.png │ │ ├── lqramsey │ │ │ └── firenze.pdf │ │ ├── lu_tricks │ │ │ └── control_and_filter.py │ │ ├── lucas_model │ │ │ ├── lucastree.py │ │ │ └── solution_mass_ex2.png │ │ ├── markov_perf │ │ │ ├── duopoly_mpe.py │ │ │ ├── judd_fig1.png │ │ │ ├── judd_fig2.png │ │ │ └── mpe_vs_monopolist.png │ │ ├── matplotlib │ │ │ └── matplotlib_ex1.png │ │ ├── matsuyama │ │ │ ├── matsuyama_14.png │ │ │ └── matsuyama_18.png │ │ ├── mccall │ │ │ ├── mccall_resw_alpha.py │ │ │ ├── mccall_resw_beta.py │ │ │ ├── mccall_resw_c.py │ │ │ ├── mccall_resw_gamma.py │ │ │ └── mccall_vf_plot1.py │ │ ├── mccall_model_with_separation │ │ │ ├── mccall_resw_alpha.png │ │ │ ├── mccall_resw_beta.png │ │ │ └── mccall_resw_c.png │ │ ├── mle │ │ │ └── fp.dta │ │ ├── odu │ │ │ └── odu.py │ │ ├── ols │ │ │ ├── maketable1.dta │ │ │ ├── maketable2.dta │ │ │ └── maketable4.dta │ │ ├── opt_tax_recur │ │ │ ├── crra_utility.py │ │ │ ├── log_utility.py │ │ │ ├── recursive_allocation.py │ │ │ └── sequential_allocation.py │ │ ├── optgrowth │ │ │ ├── 3ndp.pdf │ │ │ ├── bellman_operator.py │ │ │ ├── solution_og_ex2.png │ │ │ └── solve_model.py │ │ ├── orth_proj │ │ │ ├── orth_proj_def1.png │ │ │ ├── orth_proj_def1.tex │ │ │ ├── orth_proj_def2.png │ │ │ ├── orth_proj_def2.tex │ │ │ ├── orth_proj_def3.png │ │ │ ├── orth_proj_def3.tex │ │ │ ├── orth_proj_thm1.png │ │ │ ├── orth_proj_thm1.tex │ │ │ ├── orth_proj_thm2.png │ │ │ ├── orth_proj_thm2.tex │ │ │ ├── orth_proj_thm3.png │ │ │ └── orth_proj_thm3.tex │ │ ├── pandas │ │ │ ├── data │ │ │ │ ├── test_pwt.csv │ │ │ │ └── ticker_data.csv │ │ │ ├── pandas_share_prices.png │ │ │ ├── pandas_vs_rest.png │ │ │ └── wb_download.py │ │ ├── pandas_panel │ │ │ ├── countries.csv │ │ │ ├── employ.csv │ │ │ ├── realwage.csv │ │ │ └── venn_diag.png │ │ ├── parallelization │ │ │ └── htop_parallel_npmat.png │ │ ├── perm_income │ │ │ └── perm_inc_ir.py │ │ ├── python_advanced_features │ │ │ ├── numbers.txt │ │ │ └── test_table.csv │ │ ├── python_by_example │ │ │ ├── pbe_ex2_fig.png │ │ │ └── test_program_1_updated.png │ │ ├── python_foundations │ │ │ ├── test_table.csv │ │ │ └── us_cities.txt │ │ ├── robustness │ │ │ ├── kg.png │ │ │ ├── kg0.png │ │ │ └── kg_small_theta.png │ │ ├── schelling │ │ │ ├── schelling_fig1.png │ │ │ ├── schelling_fig2.png │ │ │ ├── schelling_fig3.png │ │ │ └── schelling_fig4.png │ │ ├── sci_libs │ │ │ └── nfs_ex1.png │ │ ├── short_path │ │ │ ├── Graph-networkx2.ipynb │ │ │ ├── graph.png │ │ │ ├── graph2.png │ │ │ ├── graph3.png │ │ │ └── graph4.png │ │ ├── stationary_densities │ │ │ ├── ECTA6180.pdf │ │ │ ├── solution_statd_ex1.png │ │ │ └── solution_statd_ex2.png │ │ ├── troubleshooting │ │ │ └── launch.png │ │ ├── uncertainty_traps │ │ │ ├── uncertainty_traps_45.png │ │ │ ├── uncertainty_traps_mu.png │ │ │ └── uncertainty_traps_sim.png │ │ ├── wald_friedman │ │ │ ├── wald_class.py │ │ │ ├── wald_dec_rule.png │ │ │ ├── wald_dec_rule.tex │ │ │ └── wf_first_pass.py │ │ └── wealth_dynamics │ │ │ └── htop_again.png │ ├── qe-logo-large.png │ ├── quant-econ.bib │ └── tikz_figures │ │ ├── xpS.tex │ │ └── xpz.tex └── rst │ ├── 404.rst │ ├── _static │ ├── about_lectures.rst │ ├── about_py.rst │ ├── additive_functionals.rst │ ├── aiyagari.rst │ ├── amss.rst │ ├── amss2.rst │ ├── amss3.rst │ ├── ar1_processes.rst │ ├── arellano.rst │ ├── arma.rst │ ├── black_litterman.rst │ ├── calvo.rst │ ├── career.rst │ ├── cass_koopmans_1.rst │ ├── cass_koopmans_2.rst │ ├── cattle_cycles.rst │ ├── chang_credible.rst │ ├── chang_ramsey.rst │ ├── classical_filtering.rst │ ├── coase.rst │ ├── coleman_policy_iter.rst │ ├── complex_and_trig.rst │ ├── cons_news.rst │ ├── debugging.rst │ ├── discrete_dp.rst │ ├── dyn_stack.rst │ ├── egm_policy_iter.rst │ ├── estspec.rst │ ├── exchangeable.rst │ ├── finite_markov.rst │ ├── functions.rst │ ├── geom_series.rst │ ├── getting_started.rst │ ├── growth_in_dles.rst │ ├── harrison_kreps.rst │ ├── heavy_tails.rst │ ├── hs_invertibility_example.rst │ ├── hs_recursive_models.rst │ ├── ifp.rst │ ├── index.rst │ ├── index_advanced_python_programming.rst │ ├── index_asset_pricing.rst │ ├── index_asset_pricing_grad.rst │ ├── index_asset_pricing_undergrad.rst │ ├── index_classic_linear_models.rst │ ├── index_data_and_empirics.rst │ ├── index_dynamic_programming.rst │ ├── index_dynamic_programming_grad.rst │ ├── index_dynamic_programming_squared.rst │ ├── index_dynamic_programming_undergrad.rst │ ├── index_hs_recursive_models.rst │ ├── index_intro_dynam.rst │ ├── index_learning_python.rst │ ├── index_lq_control.rst │ ├── index_lq_control_grad.rst │ ├── index_lq_control_undergrad.rst │ ├── index_multi_agent_models.rst │ ├── index_multi_agent_models_grad.rst │ ├── index_multi_agent_models_undergrad.rst │ ├── index_postgrad.rst │ ├── index_python_scientific_libraries.rst │ ├── index_time_series_models.rst │ ├── index_time_series_models_grad.rst │ ├── index_toc.rst │ ├── index_tools_and_techniques.rst │ ├── index_tools_and_techniques_grad.rst │ ├── index_tools_and_techniques_undergrad.rst │ ├── index_undergrad.rst │ ├── inventory_dynamics.rst │ ├── irfs_in_hall_model.rst │ ├── jv.rst │ ├── kalman.rst │ ├── kesten_processes.rst │ ├── lake_model.rst │ ├── likelihood_ratio_process.rst │ ├── linear_algebra.rst │ ├── linear_models.rst │ ├── lln_clt.rst │ ├── lq_inventories.rst │ ├── lqcontrol.rst │ ├── lqramsey.rst │ ├── lu_tricks.rst │ ├── lucas_asset_pricing_dles.rst │ ├── lucas_model.rst │ ├── markov_asset.rst │ ├── markov_jump_lq.rst │ ├── markov_perf.rst │ ├── matplotlib.rst │ ├── matsuyama.rst │ ├── mccall_correlated.rst │ ├── mccall_fitted_vfi.rst │ ├── mccall_model.rst │ ├── mccall_model_with_separation.rst │ ├── mle.rst │ ├── muth_kalman.rst │ ├── need_for_speed.rst │ ├── numba.rst │ ├── numpy.rst │ ├── odu.rst │ ├── ols.rst │ ├── oop_intro.rst │ ├── opt_tax_recur.rst │ ├── optgrowth.rst │ ├── optgrowth_fast.rst │ ├── orth_proj.rst │ ├── pandas.rst │ ├── pandas_panel.rst │ ├── parallelization.rst │ ├── perm_income.rst │ ├── perm_income_cons.rst │ ├── permanent_income_dles.rst │ ├── python_advanced_features.rst │ ├── python_by_example.rst │ ├── python_essentials.rst │ ├── python_oop.rst │ ├── rational_expectations.rst │ ├── re_with_feedback.rst │ ├── rob_markov_perf.rst │ ├── robustness.rst │ ├── rosen_schooling_model.rst │ ├── samuelson.rst │ ├── scalar_dynam.rst │ ├── schelling.rst │ ├── scipy.rst │ ├── search.rst │ ├── short_path.rst │ ├── smoothing.rst │ ├── smoothing_tax.rst │ ├── stationary_densities.rst │ ├── status.rst │ ├── tax_smoothing_1.rst │ ├── tax_smoothing_2.rst │ ├── tax_smoothing_3.rst │ ├── troubleshooting.rst │ ├── uncertainty_traps.rst │ ├── von_neumann_model.rst │ ├── wald_friedman.rst │ ├── wealth_dynamics.rst │ ├── writing_good_code.rst │ └── zreferences.rst └── theme ├── static ├── css │ └── python.css ├── img │ ├── code-block-fade.png │ ├── coverage-not available-lightgrey.svg │ ├── execution-test-failing-red.svg │ ├── 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