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New model: Labor supply on intensive margin #509

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merged 24 commits into from
Feb 26, 2020
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997e454
Add working version of labor supply on intensive margin model
mnwhite Aug 29, 2019
f08130f
Cleaned up solver comments and variable names
mnwhite Aug 29, 2019
724c8e1
In progress work on cleaning LaborIntMarg docstrings
mnwhite Sep 5, 2019
63d7594
Attempt on HARK issue #113.
JackShiqiLi Sep 16, 2019
ad4a27a
Spend some time on the simulation again but still not able to fully u…
JackShiqiLi Sep 17, 2019
5154760
Some comments
JackShiqiLi Sep 17, 2019
5820958
Corrected the lifecycle model, now it is a lifecycle model for a labo…
JackShiqiLi Sep 20, 2019
ca23939
Revert "Corrected the lifecycle model, now it is a lifecycle model fo…
JackShiqiLi Sep 20, 2019
1832c47
Completed the lifecycle example for endogenous labor supply model.
JackShiqiLi Sep 20, 2019
b16f3b5
Adjusted LaborIntMarg lifecycle figures
mnwhite Oct 31, 2019
3395047
Merge pull request #392 from JackShiqiLi/LaborIntMarg
mnwhite Oct 31, 2019
d0ac2b8
Merge branch 'master' into LaborIntMarg
mnwhite Feb 10, 2020
149650f
ConsLaborModel has default parameters
mnwhite Feb 13, 2020
e1c681a
Moved ConsLaborModel main code to /Examples
mnwhite Feb 13, 2020
3736b03
Merge branch 'master' into LaborIntMarg
mnwhite Feb 13, 2020
e2c61dc
Merge branch 'master' into LaborIntMarg
Feb 15, 2020
0a47399
Added updateLbrCost Function
rkcah Feb 15, 2020
e2bd354
Updated ConsumerParameters
rkcah Feb 15, 2020
770074a
Updated Comments
rkcah Feb 16, 2020
efb7c94
Updated ConsumerParameters to meaningful values
rkcah Feb 16, 2020
2ddf677
Merge pull request #524 from rkcah/LaborIntMarg-Update
mnwhite Feb 16, 2020
ed73922
Small fix to updateLbrCost, adjust sim methods
mnwhite Feb 16, 2020
4ac7f35
Tiny labor supply example fixes
mnwhite Feb 18, 2020
5acb60c
Merge branch 'master' into LaborIntMarg
sbenthall Feb 26, 2020
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1 change: 0 additions & 1 deletion HARK/ConsumptionSaving/ConsIndShockModel.py
Original file line number Diff line number Diff line change
Expand Up @@ -1618,7 +1618,6 @@ def __init__(self,
-------
None
'''

params = Params.init_perfect_foresight.copy()
params.update(kwds)
kwds = params
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