Comments (7)
Sorry, I think it is blank.
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Hi @KseniaNedorezova Is there an issue to ask about? Could you post some code demonstrating the issue?
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Hello everyone! I work with panel data
All estimated effects are equal 0.
Why estimated effects in random effect model equal 0? P-value of the model 0,0017.
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Can you please post some demo code that reproduces the problem.
from linearmodels.
import pandas as pd
from linearmodels import PanelOLS, RandomEffects
data = pd.read_excel(r"...", sheet_name = "....").reset_index(drop = True)
data = data.set_index(['Name', 'Year'])
mod_re_prod = RandomEffects(data['Percent'], data[['value_1', "value_2"]]).fit()
mod_EF_re_prod = mod_re_prod.estimated_effects
print(mod_EF_re_prod )
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Any chance you could use one of the demo datasets included with linearmodels to reproduce? That way I can run without needing any data, which might not be available to share.
from linearmodels.
Can you post some runnable code so I can see if I can help you? This doesn't usually happen and so seems to be specific to your setup.
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