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Questions tagged [white-test]

Test for heteroskedasticity in the errors of a regression model. $H_0\colon$ errors are homoshedastic and independent of regressors, and the model is well specified.

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White's test interpretation

I am running a regression in python (a basic market model with just one index as regressor). After doing that I conduct the heteroscedasticity test on residuals using two tests, White and ARCH. I am ...
Mattia's user avatar
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What does it mean if both log-log and semi log y transforms both linearise my data

I am running some least squares linear regression on nonlinear data. I considered linearising by taking the log of both the IV's and DV and also by only taking the log of the DV. Both linearise the ...
Tom Waits's user avatar
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Trying to use the white test in r

I am doing a regression on the influence on marketing spending. I have already tested for heteroskedasticity with the Breusch-Pagan Test and found that the test came out positive. Based on the ...
New_to_r's user avatar
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White-Test: Use F-Statistic or LM-statistic?

to interpret the White-Test, it is recommended to use the LM-statistic = N*R-squared of the auxiliary regression which follows a Chi-squared distribution with df = number of restrictions. But I ...
Joe94's user avatar
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Is there heteroskedasticity or not?

I carried out White's test for a particular model to check for heteroskedasticity. I got the following results for White's test (details shown below). AS it can be seen the p-value (0.299) isn't that ...
Kurapika's user avatar
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Robust standard errors (White) under homoscedasticity

Robust standard errors (White standard errors) are given by: $$\hat{V}(b)=(\sum_{i=1}^N x_ix_i')^{-1}(\sum_{i=1}^N e_i^2x_ix_i')(\sum_{i=1}^N x_ix_i')^{-1}$$ This helps us to estimate a asymptotic ...
Felix's user avatar
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1 vote
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Heteroskedasticity tests: heavy-tailedness of squared estimated errors

I have a time series model and obtain the following distribution of estimated errors: I suspect that the errors are heteroscedastic in the sense that their variance depends on the level of one or ...
nluckn's user avatar
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Breusch Pagan and White test always 0

I'm working on a machine learning algorithm and trying to evaluate the model based on a guide online. No matter how I change the features of the model, the results of both tests are always 0. Is there ...
ctlogan's user avatar
1 vote
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Dealing with Heteroskedasticity in Estimated Dependent Variable model

I work on my research in finance concerning pricing of green bonds and I am running a two stage model. Stage 1 regression is an unbalanced panel fixed effects estimation. For each of my 100 green ...
Anna Kortusova's user avatar
2 votes
0 answers

White test for heteroscedasticity of simple linear regression in R [duplicate]

The question is straightforward: How to implement White test (a test for heteroscedasticity) for a simple linear regression model (lm object) in R? I have tried "whites.htest(var.model)", however, ...
Master Shi's user avatar
1 vote
1 answer

How to use White-test to check if the heteroscedasticity has been effectively dealt with by a WLS?

Consider an OLS model with $n$ observations and $p$ explanatory variables (including an intercept term) $$y=X\beta + \epsilon$$ We may use a White test to (approximately) check for the presence of ...
Vim's user avatar
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2 votes
1 answer

White noise test taking into account homoscedasticity

I try to test a time series for white noise. The ultimate goal is to show that scaling volatility from daily to longer time periods by the square-root of time rule is justified. Fore white noise I ...
Richi W's user avatar
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3 votes
2 answers

Is there a way to calculate R-squared in OLS without computing the coefficients?

The background of my question is that for e.g. the White heteroskedasticity test or the Breusch-Godfrey (LM) autocorrelation test, we are generally only interested in the R-squared of the "auxiliary" ...
Candamir's user avatar
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2 votes
1 answer

White test with large model and few samples impossible?

I have a linear model with 12 regressors and sample size 42, which I want to test for heteroscedasticity. Hence, I applied a white test in the following way regress $y=X\beta + e$ regress residuals $\...
Jonasson's user avatar
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4 votes
1 answer

White's test in R gives different result from manual calculation

To verify the function AER::bptest, I manually calculate the test statistic. The manual method and R function give the same result for the Breusch-Pagan test, but ...
Heisenberg's user avatar
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7 votes
1 answer

White's test for heteroskedasticity in R

I am trying to estimate heteroskedasticity in R. I had Eviews available in my college's lab but not at home. I have been trying to use "het.test" package and ...
Faseeh's user avatar
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9 votes
2 answers

What does the notation like 8.6e-28 mean? What is the 'e' for?

I have a problem with the interpretation of a test result in which the p-value is 8.6e-28. How should it be interpreted? What is the ...
Ljudmila Ivanova's user avatar
6 votes
2 answers

Breusch–Pagan test for heteroscedasticity contradicts White's test?

Testing for heteroscedasticity I get these results: Breusch–Pagan / Cook–Weisberg test for heteroskedasticity $H_0$: Constant variance $H_a$: Heteroskedasticity ...
Rijak's user avatar
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