2018RePEc: Research Papers in EconomicsRequires access

DYNARDL: Stata module to dynamically simulate autoregressive distributed lag (ARDL) models

Soren Jordan, Andrew Philips

Open publisher page 12 citations

Abstract

dynardl is a program to produce dynamic simulations of autoregressive distributed lag (ARDL) models. See Philips (Am.J.Pol.Sci., 2018) for a discussion of this approach, especially in regards to the error-correction ARDL representation of Pesaran, Shin, and Smith (J. Applied Econometrics, 2001). See Jordan and Philips (Stata J., in press) for an in-depth discussion of this program.

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What this paper is about

dynardl is a program to produce dynamic simulations of autoregressive distributed lag (ARDL) models. See Philips (Am.J.Pol.Sci., 2018) for a discussion of this approach, especially in regards to the error-correction ARDL representation of Pesaran, Shin, and Smith (J. Applied Econometrics, 2001). See Jordan and Philips (Stata J., in press) for an in-depth discussion of this program.

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OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

dynardl is a program to produce dynamic simulations of autoregressive distributed lag (ARDL) models. See Philips (Am.J.Pol.Sci., 2018) for a discussion of this approach, especially in regards to the error-correction ARDL representation of Pesaran, Shin, and Smith (J. Applied Econometrics, 2001). See Jordan and Philips (Stata J., in press) for an in-depth discussion of this program.

Key concepts: Distributed lag, Autoregressive model, Lag, Econometrics, STAR model, Representation (politics), Computer science, Economics

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