choo_siow
module¶
The components of the derivative of the entropy for the Choo and Siow homoskedastic model.
e0_fun_choo_siow(muhat)
¶
Returns the values of e_0 for the Choo and Siow model.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
muhat |
Matching
|
a Matching |
required |
Returns:
Type | Description |
---|---|
np.ndarray
|
the (X,Y) matrix of the first derivative of the entropy |
Source code in cupid_matching/choo_siow.py
92 93 94 95 96 97 98 99 100 101 102 |
|
hessian_mumu_choo_siow(muhat)
¶
Returns the derivatives of e_0 in \mu for the Choo and Siow model.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
muhat |
Matching
|
a Matching |
required |
Returns:
Type | Description |
---|---|
ThreeArrays
|
the three components of the hessian wrt (\mu,\mu) of the entropy |
ThreeArrays
|
and the two components of the hessian wrt (\mu,r) |
Source code in cupid_matching/choo_siow.py
105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 |
|
hessian_mur_choo_siow(muhat)
¶
Returns the derivatives of e_0 in r for the Choo and Siow model.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
muhat |
Matching
|
a Matching |
required |
Returns:
Type | Description |
---|---|
TwoArrays
|
the two components of the hessian wrt (\mu,r) of the entropy |
Source code in cupid_matching/choo_siow.py
132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 |
|