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4 votes
2 answers
55 views

Residual Analysis for simple linear regression model

I'm trying to conduct the residual analysis for simple linear regression. I need to prove that the residuals follow an approximate Normal Distribution. The csv file I'm using has values for Percentage ...
advaitketkar's user avatar
1 vote
1 answer
67 views

saving statsmodel to adls blob storage

i currently have a model fit using statsmodel OLS formula and I am trying to save this model to ADLS blob storage. '/mnt/outputs/' is a mount point I have created and I am able to read and write other ...
J. Doe's user avatar
  • 311
1 vote
1 answer
50 views

Exporting regression tables from statsmodels into Word

I am making a lot of regression models in Python. I want to report the results in tables in a word-file. Is there any way I can export the results into nicely formatted tables in word, e.g., into a ....
EmilA's user avatar
  • 179
1 vote
0 answers
33 views

How to replicate statmodels' ARIMA fittedvalues for a MA(1)? (Python package)

Let's simulate a MA(1) process using numpy import numpy as np # Simulation parameters n = 20 # Number of observations theta_1 = 0.7 # MA(1) coefficient sigma = 1.0 # Standard deviation of white ...
Nicolas Tanzi's user avatar
0 votes
0 answers
39 views

Implementing survey weights in statsmodels OrderedModel ordinal logistic regression

I am trying to run an ordinal logistic regression on survey data and implementing existing survey weights (stored in a column in the dataframe) in the model. I am using statsmodels.miscmodels....
Guro's user avatar
  • 1
0 votes
0 answers
27 views

How can I extract absolute beta coefficients for all levels of multiple categorical variables in statsmodels?

I’m performing linear regression in Python with statsmodels. I have two categorical predictors: sample: a factor with 8 levels distractor: a factor with 2 levels My goal is to determine the “...
Blade's user avatar
  • 1,142
1 vote
0 answers
32 views

how to specify that the error term is an AR(1) process using IV2SLS regression of Python statsmodel?

I am trying to replicate an eviews code in Python. I need to fit a regression with a constant, some endogeneous variables that I instrumentalize and some exogeneous variables. The dependant variable ...
user20587286's user avatar
0 votes
1 answer
25 views

How to get static ARIMA forecasts with statsmodels

I'm trying to replicate a Stata ARIMA analysis in statsmodels. This analysis used static predictions from its ARIMA (1,0,4) model with four exogenous regressors. I've replicated the model – both Stata ...
AustinC's user avatar
  • 826
0 votes
0 answers
23 views

How does Statsmodels ARIMA compute the first few fitted values?

Suppose I have an ARIMA(p,d,q), d>0 that I estimate using statsmodels. (See ARIMA class here.) For in-sample forecasts for t >= d, I get exactly what I expect, namely the Y(t) uses exactly the ...
rkatzwer's user avatar
0 votes
1 answer
19 views

AttributeError: 'SVARResults' object has no attribute 'k_exog_user'

I am using the following code to conduct a SVAR estimation: data_q = pd.DataFrame({'GDP': GDP, 'CPI': CPI_q, 'Interest_rate': Interest_rate_q, ...
Oriol's user avatar
  • 11
2 votes
1 answer
86 views

Trying to understand differences in weighted logistic regression outputs between Statsmodels and R's survey & srvyr packages

I have a fictional weighted survey dataset that contains information about respondents' car colors and their response to the question "I enjoy driving fast." I would like to perform a ...
KBurchfiel's user avatar
1 vote
0 answers
39 views

SVAR from statsmodel.tsa: if len(A_guess) != n_masked_a: TypeError: object of type 'int' has no len()

I am using the following code to conduct a SVAR estimation but it keeps crashing, always the same kind of error: len(A_guess) != n_masked_a: TypeError: object of type 'int' has no len(). CAN ANYONE ...
Oriol's user avatar
  • 11
2 votes
0 answers
36 views

What null hypothesis is rejected by the value of statsmodels RLM

I am using statsmodels to perform a robust linear regression on some data I have. I wanted to understand whether the slope of my regression is significantly different from 0. In scipy I due this by ...
donkey's user avatar
  • 1,448
1 vote
0 answers
50 views

Can statsmodels be used to obtain clustered standard errors in a fixed effects regression model? (Python)

I have a cross-sectional dataset and am doing some simple econometric exercises with it using the statsmodels package in Python. At a certain point I tried to run a fixed effects regression model ...
Filipe P.'s user avatar
0 votes
0 answers
18 views

FFN ffn.core.PerformanceStats setting risk free rate as Series instead of float number

Using FFN, I set the risk free rate as a Series but the Sharpe Ratio is considerably different from the one calculated just with a float number, even if the Series of risk free rates is equal to the ...
Paul's user avatar
  • 1

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