WebJul 28, 2024 · HC2 HC3 standard errors with clusters 28 Jul 2024, 18:57 Dear all I have one question regarding robust standard errors with the command regress. Does it make sense to combine HC2 or HC3 robust standard errors with clusters? I know it is possible to request them with regress using the old syntax Code: Webnamed on a valid HC2 or HC3 certificate; named on, or entitled to, a valid NHS Tax Credit Exemption Certificate (TAX) named on, or are included in an award of someone getting a qualifying benefit or exemption. You may also be entitled to receive a free NHS-funded sight test if you require complex lenses. Glasses or contact lenses
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WebWhen HC2_se or cov_HC2 is called the RegressionResults instance will then have another attribute het_scale, which is in this case is resid^(2)/(1-h_ii). HC3_se MacKinnon and White’s (1985) heteroskedasticity robust standard errors. If the regression errors are independent, but have distinct variances , then which can be estimated with . This provides White's (1980) estimator, often referred to as HCE (heteroskedasticity-consistent estimator): where as above denotes the matrix of stacked values from the data. The estimator can be derived in terms of the generalized method of moments (GMM). Webo Step 1: Analyze Scale Reliability analysis Put all of the nominal data (HC1, HC2, HC3 or VP1 VP2 VP3,..) that we want to examine into items box o Step 2: Statistic: tick Scale if item deleted continue Interpret: Reliability Statistics. Cronbach’s Alpha is from 0 to 0 is good (larger are better) 0 is good ground peanuts