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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