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Time series

ARIMA

  • ARMA
  • ARMAX
  • Standard and robust variance estimates
  • Linear constraints
  • Multiplicative seasonal ARIMA

ARCH

  • GARCH
  • APARCH
  • EGARCH
  • NARCH
  • AARCH
  • GJR and more
  • ARCH in mean
  • Standard and robust variance estimates
  • Multiplicative deterministic heteroskedasticity
  • Linear constraints

Time-series functions

  • String conversion to date: daily, weekly, monthly, quarterly, half-yearly, yearly
  • Dates from numeric arguments
  • Date literal support
  • Periodicity conversion, e.g., daily date to quarter
  • Date ranges

Time-series operators

  • L, lag
  • D, differences
  • S#, seasonal lag

Time-series time and date formats

  • Default formats for clock-time daily, weekly, monthly, quarterly, half-yearly, yearly
  • High-frequency data with millisecond resolution NEW
  • User-specified formats

Rolling and recursive estimation

Regression diagnostics

  • LM test for ARCH effects
  • Breusch–Godfrey LM test for serial correlation
  • Durbin alternative test for serial correlation
  • Durbin–Watson statistic

Regression with AR(1) disturbances

  • White’s method for heteroskedasticity robust variances
  • Two-step or iterated methods
  • Cochrane–Orcutt, Prais–Winsten, and ARMA/ARIMA estimators

VAR/SVAR/VECM

  • Vector autoregression (VAR)
  • Structural vector autoregression (SVAR)
  • Vector error-correction models (VECM)
  • Impulse–response functions (IRFs)
  • Dynamic multipliers NEW
  • Forecast-error variance decompositions (FEVD)
  • Static and dynamic forecasts
  • Diagnostics and tests
    • Cointegration tests
    • Granger causality tests
    • LM tests for residual autocorrelation
    • Tests for normality of residuals
    • Lag order selection statistics
    • Stability analysis using eigenvalues
    • Wald lag exclusion statistics
  • Graphical and tabular presentations and comparisons of IRFs and FEVDs
  • IRF management tools

Time-series smoothers

  • Moving average (MA)
  • Single exponential
  • Double exponential
  • Holt–Winters nonseasonal exponential
  • Holt–Winters seasonal exponential
  • Nonlinear
  • Forecasting and smoothing

Graphs and tables

  • Autocorrelations and partial correlations
  • Cross-correlations
  • Cumulative sample spectral density
  • Periodograms
  • Line plots
  • Range plot with lines

Tests for white noise

  • Portmanteau’s test
  • Bartlett’s periodogram test

Tests for unit roots

  • Dickey–Fuller
    • Modified Dickey–Fuller t test proposed by Elliott, Rothenberg, and Stock
    • Augmented Dickey–Fuller test
  • Phillips–Perron

Support for Haver Analytics database

See New in Stata 10 for more about what was added in Stata Release 10.

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