diff --git a/lectures/ar1_processes.md b/lectures/ar1_processes.md index 1d156147..c4884a7a 100644 --- a/lectures/ar1_processes.md +++ b/lectures/ar1_processes.md @@ -18,6 +18,7 @@ kernelspec: ``` +(ar1_processes)= # AR1 Processes ```{admonition} Migrated lecture @@ -29,10 +30,6 @@ This lecture has moved from our [Intermediate Quantitative Economics with Python ```{index} single: Autoregressive processes ``` -```{contents} Contents -:depth: 2 -``` - ## Overview In this lecture we are going to study a very simple class of stochastic diff --git a/lectures/eigen_II.md b/lectures/eigen_II.md index d57dd048..52fd505e 100644 --- a/lectures/eigen_II.md +++ b/lectures/eigen_II.md @@ -16,10 +16,6 @@ kernelspec: ```{index} single: The Perron-Frobenius Theorem ``` -```{contents} Contents -:depth: 2 -``` - In addition to what's in Anaconda, this lecture will need the following libraries: ```{code-cell} ipython3 diff --git a/lectures/heavy_tails.md b/lectures/heavy_tails.md index 3e58038a..440eab71 100644 --- a/lectures/heavy_tails.md +++ b/lectures/heavy_tails.md @@ -14,10 +14,6 @@ kernelspec: (heavy_tail)= # Heavy-Tailed Distributions -```{contents} Contents -:depth: 2 -``` - In addition to what's in Anaconda, this lecture will need the following libraries: ```{code-cell} ipython3 diff --git a/lectures/markov_chains_I.md b/lectures/markov_chains_I.md index 8fe1fa27..0a8718e3 100644 --- a/lectures/markov_chains_I.md +++ b/lectures/markov_chains_I.md @@ -17,10 +17,6 @@ kernelspec: ```{index} single: Markov Chains: Basic Concepts and Stationarity ``` -```{contents} Contents -:depth: 2 -``` - In addition to what's in Anaconda, this lecture will need the following libraries: ```{code-cell} ipython3 diff --git a/lectures/markov_chains_II.md b/lectures/markov_chains_II.md index 3157d6c1..f2940ac9 100644 --- a/lectures/markov_chains_II.md +++ b/lectures/markov_chains_II.md @@ -16,11 +16,6 @@ kernelspec: ```{index} single: Markov Chains: Irreducibility and Ergodicity ``` -```{contents} Contents -:depth: 2 -``` - - In addition to what's in Anaconda, this lecture will need the following libraries: ```{code-cell} ipython3 diff --git a/lectures/prob_dist.md b/lectures/prob_dist.md index 0bf151d5..3fb61a39 100644 --- a/lectures/prob_dist.md +++ b/lectures/prob_dist.md @@ -17,10 +17,6 @@ kernelspec: ```{index} single: Distributions and Probabilities ``` -```{contents} Contents -:depth: 2 -``` - ## Outline In this lecture we give a quick introduction to data and probability distributions using Python. diff --git a/lectures/scalar_dynam.md b/lectures/scalar_dynam.md index 10e082f8..bfb1274e 100644 --- a/lectures/scalar_dynam.md +++ b/lectures/scalar_dynam.md @@ -17,11 +17,8 @@ kernelspec: ``` -# {index}`Dynamics in One Dimension ` - -```{contents} Contents -:depth: 2 -``` +(scalar_dynam)= +# Dynamics in One Dimension ## Overview diff --git a/lectures/schelling.md b/lectures/schelling.md index fb97299e..94dd0987 100644 --- a/lectures/schelling.md +++ b/lectures/schelling.md @@ -28,10 +28,6 @@ kernelspec: ```{index} single: Models; Schelling's Segregation Model ``` -```{contents} Contents -:depth: 2 -``` - ## Outline In 1969, Thomas C. Schelling developed a simple but striking model of racial diff --git a/lectures/short_path.md b/lectures/short_path.md index d9798c3c..d9eb0771 100644 --- a/lectures/short_path.md +++ b/lectures/short_path.md @@ -23,10 +23,6 @@ kernelspec: ```{index} single: Dynamic Programming; Shortest Paths ``` -```{contents} Contents -:depth: 2 -``` - ## Overview The shortest path problem is a [classic problem](https://en.wikipedia.org/wiki/Shortest_path) in mathematics and computer science with applications in diff --git a/lectures/supply_demand_heterogeneity.md b/lectures/supply_demand_heterogeneity.md index dd9e5b74..347294be 100644 --- a/lectures/supply_demand_heterogeneity.md +++ b/lectures/supply_demand_heterogeneity.md @@ -14,10 +14,6 @@ kernelspec: (supply_demand_heterogeneity)= # Market Equilibrium with Heterogeneity -```{contents} Contents -:depth: 2 -``` - ## Overview In the {doc}`previous lecture diff --git a/lectures/time_series_with_matrices.md b/lectures/time_series_with_matrices.md index 459896c6..d0134b4d 100644 --- a/lectures/time_series_with_matrices.md +++ b/lectures/time_series_with_matrices.md @@ -20,10 +20,6 @@ kernelspec: # Univariate Time Series with Matrix Algebra -```{contents} Contents -:depth: 2 -``` - ## Overview This lecture uses matrices to solve some linear difference equations. diff --git a/lectures/troubleshooting.md b/lectures/troubleshooting.md index 946696b7..7bc907ad 100644 --- a/lectures/troubleshooting.md +++ b/lectures/troubleshooting.md @@ -20,10 +20,6 @@ kernelspec: # Troubleshooting -```{contents} Contents -:depth: 2 -``` - This page is for readers experiencing errors when running the code from the lectures. ## Fixing your local environment