ardl: Estimating autoregressive distributed lag and equilibrium correction models

Sebastian Kripfganz and Daniel C. Schneider

No 18, TUPD Discussion Papers from Graduate School of Economics and Management, Tohoku University

Abstract: We present a Stata package for the estimation of autoregressive distributed lag (ARDL) models in a time-series context. The ardl command can be used to estimate an ARDL model with the optimal number of autoregressive and distributed lags based on the Akaike or Schwarz/Bayesian information cri- terion. The regression results can be displayed in the ARDL levels form or in the error-correction representation of the model. The latter separates long-run and short-run effects and is available in two different parameterizations of the long-run (cointegrating) relationship. The popular bounds testing procedure for the existence of a long-run levels relationship is implemented as a postestimation feature. Comprehensive critical values and approximate p-values obtained from response-surface regressions facilitate statistical inference.

Pages: 33 pages
Date: 2022-04
New Economics Papers: this item is included in nep-ets
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Citations: View citations in EconPapers (5)

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http://hdl.handle.net/10097/00135205

Related works:
Working Paper: ardl: Estimating autoregressive distributed lag and equilibrium correction models (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:toh:tupdaa:18

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