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Perfect Foresight MIT Shock Option Added #1013

Merged
merged 12 commits into from
Jul 13, 2021
Merged

Perfect Foresight MIT Shock Option Added #1013

merged 12 commits into from
Jul 13, 2021

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wdu9
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@wdu9 wdu9 commented May 25, 2021

Please ensure your pull request adheres to the following guidelines:

  • Tests for new functionality/models or Tests to reproduce the bug-fix in code.
  • Updated documentation of features that add new functionality.
  • Update CHANGELOG.md with major/minor changes.

self.t_cycle[
which_agents
] = 0 # Which period of the cycle each agent is currently in

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Think about whether you need to add a test for whether the PerfMITShk variable exists, like:

if hasattr(self, 'PerfMITShk'):

before using the variable

@@ -1577,7 +1578,7 @@ class PerfForesightConsumerType(AgentType):
MPCmax=1.0,
)
time_vary_ = ["LivPrb", "PermGroFac"]
time_inv_ = ["CRRA", "Rfree", "DiscFac", "MaxKinks", "BoroCnstArt"]
time_inv_ = ["CRRA", "Rfree", "DiscFac", "MaxKinks", "BoroCnstArt", "PerfMITShk" ]
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Let's make PerfMITShk something like tolerance which the user does not have the option of causing to be a time_varying thing at all.

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Codecov Report

Merging #1013 (34a343b) into master (db6d206) will increase coverage by 0.00%.
The diff coverage is 100.00%.

Impacted file tree graph

@@           Coverage Diff           @@
##           master    #1013   +/-   ##
=======================================
  Coverage   71.78%   71.78%           
=======================================
  Files          64       64           
  Lines        9300     9301    +1     
=======================================
+ Hits         6676     6677    +1     
  Misses       2624     2624           
Impacted Files Coverage Δ
HARK/ConsumptionSaving/ConsIndShockModel.py 85.86% <100.00%> (+0.01%) ⬆️

Continue to review full report at Codecov.

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@@ -25,7 +25,7 @@ PR: [#832](https://github.com/econ-ark/HARK/pull/832). See [this forthcoming REM
* Using Lognormal.from_mean_std in the forward simulation of the RiskyAsset model [#1019](https://github.com/econ-ark/HARK/pull/1019)
* Fix bug in DCEGM's primary kink finder due to numpy no longer accepting NaN in integer arrays [#990](https://github.com/econ-ark/HARK/pull/990).
* Add a general class for consumers who can save using a risky asset [#1012](https://github.com/econ-ark/HARK/pull/1012/).

Add Boolean attribute 'PerfMITShk' to PerfForesightConsumerType. When true, allows perfect foresight MIT shocks to be simulated. [#1013](https://github.com/econ-ark/HARK/pull/1013).
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Novice users might not realize that adding this to PerfForesightConsumerType also adds it to most of our other consumption models, because most of them inherit from PerfForesightConsumerType. Revise this to be vaguer: "most consumption models" instead of "PerfForesightConsumerType"

@llorracc llorracc merged commit 83f1b8b into econ-ark:master Jul 13, 2021
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3 participants