2020
DOI: 10.1002/jae.2760
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Model simplification and variable selection: A replication of the UK inflation model by Hendry (2001)

Abstract: We replicate the results in a narrow sense using the gretl and PcGive programs. In a wide sense, we extend the study of model uncertainty using the Bayesian averaging of classical estimates (BACE) approach to compare model reduction strategies. Allowing for the investigation of other specifications, we confirm the same set of significant determinants but find that Hendrys' model is not the most probable.

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Cited by 6 publications
(6 citation statements)
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“…On the other hand, nuclear and hydro energy consumption compete with the renewable energy sector 3 . However, the recent findings support renewable energy as much faster in building the infrastructure as compared with the nuclear one 4 .…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…On the other hand, nuclear and hydro energy consumption compete with the renewable energy sector 3 . However, the recent findings support renewable energy as much faster in building the infrastructure as compared with the nuclear one 4 .…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, we do not only make inferences on the "best" single model, but we take into account the uncertainty of all models. Consequently, we can easily identify significant determinants of a dependent variable based on a whole model space without specific knowledge [3]. The latest review of model averaging techniques and their implementation is presented in [43].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The main advantage of the BACE is to rank the factors according to the probability when the number of potential variables is fairly large. Furthermore, it ensures comparativeness results and suggests the most likely model specifications among a vast range of competing ones [2,3]. The current study is based on an encompassing approach by incorporating the different sets of determinants of REC.…”
Section: Introductionmentioning
confidence: 99%
“…It is crucial in the case of modeling money demand, where we consider a large number of potential determinants and many competitive models with almost the same explanatory power. An example of applying this procedure for dynamic modeling can be found in (Błażejowski, Kufel, and Kwiatkowski, 2020).…”
Section: Introductionmentioning
confidence: 99%