# White's Robust Standard Error

## Contents |

Prentice Hall. This provides White's (1980) estimator, often referred to as HCE (heteroscedasticity-consistent estimator): v H C E [ β ^ O L S ] = 1 n ( 1 n ∑ i while if the homogeneity of variances assumption is not met then The Huber-White robust standard errors are equal to the square root of the elements on the diagional of the covariance In it, you'll get: The week's top questions and answers Important community announcements Questions that need answers see an example newsletter By subscribing, you agree to the privacy policy and terms news

For example, the range H17:I20 contains the array formula =RRegCoeff(C4:E53,B4:B53. Alternative estimators have been proposed in MacKinnon & White (1985) that correct for unequal variances of regression residuals due to different leverage. doi:10.1016/0304-4076(85)90158-7. Solutions? http://www3.grips.ac.jp/~yamanota/Lecture_Note_9_Heteroskedasticity.pdf

## Heteroskedasticity Robust Standard Errors Stata

The first 17 out of 50 rows of the input data are shown in A3:E20 of Figure 2. Econometrica. **48 (4):** 817–838. Econometrics Beat. ^ Greene, William H. (2012). And yes, I always use either heteroskedastic robust or cluster robust se's in my work, as does everyone I know. –Cyrus S Dec 20 '10 at 22:39 Tests for

- We should multiply S by n/(n−k−1) but for large n the difference is unimportant.
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- I can't really talk about 2, but I don't see the why one wouldn't want to calculate the White SE and include in the results.
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pp.59–82. doi:10.3758/BF03192961. Techniqually what happens is, that the variances get weighted by weights that you can not prove in reality. Heteroskedasticity Robust Standard Errors Excel ISBN978-0-387-77316-2. ^ See online help for _robust option and regress command.

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Browse other questions tagged regression error standard-error or ask your own question. Robust Standard Errors In R Things to consider when running public NTP servers Should the sole user of a *nix system have two accounts? Charlie share|improve this answer answered Jul 27 '10 at 3:54 Charlie 8,2592150 How much wider are robust standard errors than regular standard errors when the assumptions of OLS are Figure 1 – Linear Regression dialog box After clicking on the OK button, the output from the data analysis tool is shown on the right side of Figure 2.

## Heteroskedasticity Robust Standard Errors R

HC1 adjusts for degrees of freedom. and Jorn-Steffen Pischke. 2009. Heteroskedasticity Robust Standard Errors Stata robust to heteroskedasticity or unequal variances) Standard Errors are reported as a matter of course rather than testing for it. White Standard Errors Stata pp.221–233.

Like Cyrus, I use robust se's all over the place. –guest Dec 2 '11 at 6:07 add a comment| up vote 5 down vote In Introductory Econometrics (Woolridge, 2009 edition page navigate to this website by Stock and Watson that reads, "if the errors are heteroskedastic, then the t-statistic computed using the homoskedasticity-only standard error does not have a standard normal distribution, even in large samples." MR0214223. Please try the request again. How To Calculate Robust Standard Errors

doi:10.2307/1912934. Next select Multiple **Linear Regression from the list** of options and click on the OK button. where the elements of S are the squared residuals from the OLS method. More about the author There are a lot of implications to deal with heterogenity in a better way than just to paint over the problem that occurs from your data.

While the OLS point estimator remains unbiased, it is not "best" in the sense of having minimum mean square error, and the OLS variance estimator v O L S [ β Heteroskedasticity Robust Standard Errors Eviews HC4 is a more recent approach that can be superior to HC3. Hayes, Andrew F.; Cai, Li (2007). "Using heteroscedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation".

## When this is not the case, the errors are said to be heteroscedastic, or to have heteroscedasticity, and this behaviour will be reflected in the residuals u i ^ {\displaystyle \scriptstyle

Econometric Analysis. ISBN978-0-273-75356-8. ^ http://www.eviews.com/EViews8/ev8ecrobust_n.html ^ sandwich: Robust Covariance Matrix Estimators ^ Kleiber, Christian; Zeileis, Achim (2008). E[e] = 0 and E[eeT] = 0, means that S is the diagonal matrix whose diagonal elements are . Hac Standard Errors Related 1Heteroskedasticity-consistent Standard Errors for Difference Between Two Populations?3Useful heuristic for inferring multicollinearity from high standard errors2Robust standard errors in econometrics4How to calculate the specific Standard Error relevant for a specific

Join them; it only takes a minute: Sign up Here's how it works: Anybody can ask a question Anybody can answer The best answers are voted up and rise to the up vote 12 down vote favorite 2 It has been suggested by Angrist and Pischke that Robust (i.e. Zbl0217.51201. ^ Huber, Peter J. (1967). "The behavior of maximum likelihood estimates under nonstandard conditions". http://pdctoday.com/standard-error/what-is-standard-error-of-the-mean-vs-standard-deviation.php New York: Springer.