Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models
dc.contributor.author | Kripfganz, S | |
dc.contributor.author | Schneider, DC | |
dc.date.accessioned | 2020-07-13T11:45:22Z | |
dc.date.issued | 2020-07-09 | |
dc.description.abstract | We consider the popular ‘bounds test’ for the existence of a level relationship in conditional equilibrium correction models. By estimating response surface models based on about 95 billion simulated F‐statistics and 57 billion t‐statistics, we improve upon and substantially extend the set of available critical values, covering the full range of possible sample sizes and lag orders, and allowing for any number of long‐run forcing variables. By computing approximate P‐values, we find that the bounds test can be easily oversized by more than 5 percentage points in small samples when using asymptotic critical values. | en_GB |
dc.identifier.citation | Published online 09 July 2020 | en_GB |
dc.identifier.doi | 10.1111/obes.12377 | |
dc.identifier.uri | http://hdl.handle.net/10871/121916 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.rights | © The Author(s). Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | en_GB |
dc.title | Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-07-13T11:45:22Z | |
dc.identifier.issn | 0305-9049 | |
exeter.article-number | obes.12377 | en_GB |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record. | en_GB |
dc.identifier.journal | Oxford Bulletin of Economics and Statistics | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-07-13T10:54:17Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-07-13T11:45:30Z | |
refterms.panel | C | en_GB |
refterms.depositException | publishedGoldOA | |
refterms.depositExceptionExplanation | https://onlinelibrary.wiley.com/doi/full/10.1111/obes.12377?af=R |
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Except where otherwise noted, this item's licence is described as © The Author(s). Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.