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Things heteroskedastic often describes (“heteroskedastic ________”)
model, errors, models, disturbances, residuals, structure, term, volatility, terms, consistent, process, case, estimates, specification, series, variance, variances, data, nature, error, processes
How heteroskedastic often is described (“________ heteroskedastic”)
conditional

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