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split figures for better clarity
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lectures/match_transport.md

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@@ -2361,14 +2361,18 @@ We plot the hystograms and the measure of underqualification for the worker type
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```{code-cell} ipython3
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# Plot pdf
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range_x_axis =(0, 4)
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range_x_axis = (0, 4)
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model_1980.plot_marginals_pdf(figsize=(8, 5),
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bins=300, range_x_axis=range_x_axis)
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```
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```{code-cell} ipython3
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# Plot H_z
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model_OD_1980 , _ = model_1980.generate_offD_onD_matching()
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model_OD_1980.plot_H_z(figsize=(8, 5), range_x_axis=range_x_axis, scatter=False)
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```
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```{code-cell} ipython3
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# Compute optimal matching and plot off diagonal matching
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matching_1980, matching_OD_1980, model_OD_1980 = model_1980.solve_primal_DSS()
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model_OD_1980.plot_matching(matching_OD_1980,
@@ -2451,5 +2455,8 @@ def plot_wage_dispersion_model(wage_worker_x, bins=100,
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plot_wages_application(wage_worker_x_1980)
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plot_wage_dispersion_model(wage_worker_x_1980, bins=100)
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```
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```{code-cell} ipython3
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plot_wage_dispersion_model(wage_worker_x_1980, bins=100)
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```

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