example_choosiow
module¶
example using the Choo and Siow homoskedastic model
create_choosiow_population(X, Y, K, std_betas=1.0)
¶
we simulate a Choo and Siow population with equal numbers of men and women of each type and random bases dunctions and coefficients
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Source code in cupid_matching/example_choosiow.py
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mde_estimate(mus_sim, phi_bases, betas_true, entropy, title)
¶
we estimate the parameters using the minimum distance estimator
Parameters:
Name | Type | Description | Default |
---|---|---|---|
mus_sim |
Matching
|
a Choo and Siow Matching |
required |
phi_bases |
np.ndarray
|
the basis functions |
required |
betas_true |
np.ndarray
|
their true coefficients |
required |
entropy |
EntropyFunctions
|
the entropy functions we use |
required |
title |
str
|
the name of the estimator |
required |
Returns:
Type | Description |
---|---|
float
|
the largest absolute difference between the true and estimated coefficients |
Source code in cupid_matching/example_choosiow.py
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