Time series
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All time-series analysis commands now support data with frequencies as
high as 1 millisecond (ms), corresponding to Stata’s new date/time
variables. Since your data are probably not recorded at the millisecond
level, existing command tsset has new option
delta() that allows you to specify the frequency
of your data. Previously, time was recorded as
t0,
t0 + 1,
t0 + 2, ...,
and if time = t in
some observation, then the corresponding lagged observation was the
observation for which time = t − 1. That
is still the default. When you specify
delta(),
time is assumed to be recorded as
t0,
t0 + δ,
t0 + 2δ, and
if time = t in some observation, then the
corresponding lagged observation is the observation for which
time = t − δ. Say that you are
analyzing hourly data and time is recorded using Stata’s new
%tc values. One hour corresponds to 3,600,000
ms, and you would want to specify
tsset t, delta(3600000)
Option delta is smart; you can specify
tsset t, delta(1 hour)
See [TS] tsset.
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tsset now reports whether panels are balanced
when an optional panel variable is specified.
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Many ts estimation commands now accept option
vce(vcetype). As
mentioned in the What’s new in
statistics (general), vce(robust) and
vce(cluster varname) are
the right ways to specify the old robust and
cluster() options, and option
vce() allows other VCE calculations as well.
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Options vce(hc2) and vce(hc3)
are now the preferred way to request alternative bias corrections for the
robust variance calculation for existing estimation command
prais. See [TS]
prais.
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Existing estimation commands
arch and
arima
have new option collinear that specifies that
the estimation command not remove collinear variables. Typically, you do
not want to specify this option. It is for use when you specify
constraints on the coefficients such that, even though the variables are
collinear, the model is fully identified. See [TS]
estimation options.
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Existing command irf now estimates and reports
dynamic-multiplier functions and cumulative dynamic-multiplier
functions, as well as their standard errors. See [TS]
irf.
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The [TS] manual has an expanded glossary.
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