Sigmund, Michael and Ferstl, Robert (2021) Panel vector autoregression in R with the package panelvar. QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 80. pp. 693-720. ISSN 1062-9769, 1878-4259
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In this paper we extend two general methods of moment (GMM) estimators to panel vector autoregression models (PVAR) with p lags of endogenous variables, predetermined and strictly exogenous variables. We first extend the first difference GMM estimator to this extended PVAR model. Second, we do the same for the system GMM estimator. We implement these estimators in the R package panelvar. In addition to the GMM estimators, we contribute to the empirical literature by implementing common specification tests (Hansen overidentification test, lag selection criterion and stability test of the PVAR polynomial) and classical structural analysis for PVAR models such as orthogonal and generalized impulse response functions, bootstrapped confidence intervals for impulse response analysis and forecast error variance decompositions. Finally, we implement the first difference and the forward orthogonal transformation to remove the fixed effects. (c) 2019 Published by Elsevier Inc. on behalf of Board of Trustees of the University of Illinois.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | GENERALIZED-METHOD; DYNAMIC-MODELS; GMM; SPECIFICATION; INFERENCE; BEHAVIOR; Panel vector autoregression model; Generalized method of moments; First difference and system GMM |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Finanzierung (Prof. Dr. Gregor Dorfleitner) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 28 Jul 2022 10:24 |
| Last Modified: | 28 Jul 2022 10:24 |
| URI: | https://pred.uni-regensburg.de/id/eprint/46246 |
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